Hypothesis

24,814 Matching Annotations

Mar 2021
doi.org doi.org

https://doi.org/10.1101/2020.03.09.20032896

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.09.20032896: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Data were analyzed and visualized using Excel, SAS 9.4, R 3.6.2, and Python 3.7.3.10–13 Laboratory Methods: Specimens were evaluated using SARS-CoV-2 RNA detection, virus culture, whole genome sequencing, and phylogenetic analysis.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Excel</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>Python</div><div>suggested: (IPython, RRID:SCR_001658)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Several limitations should be considered when interpreting our findings. Our sample of patients is small. Information collected from patient interviews may have been subject to response bias. The threshold for admitting patients and for monitoring in the hospital was likely lower than for other respiratory infections because of uncertainty about the clinical course of COVID-19. Dates of illness resolution may be imprecise due to non-specific lingering symptoms or symptoms from chronic or unrelated conditions. Clinical laboratory tests and radiographic studies were ordered as a part of routine patient care and were not collected systematically. SARS-CoV-2 RNA detection does not necessarily reflect the presence of infectious virus, and rRT-PCR Ct values may have varied due to specimen collection or handling. Specimen collection is ongoing to inform both clinical management and infection prevention and control practices, and findings will be updated as more information becomes available.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a protocol registration statement.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.09.20032896
doi.org doi.org

https://doi.org/10.1101/2020.03.10.20032755

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.10.20032755: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The fitted functions and correlation coefficients were calculated by IBM SPSS Statistics 23.0 and Microsoft Office Excel 2010 as well.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div><div style="margin-bottom:8px"><div>Microsoft Office Excel</div><div>suggested: (Microsoft Excel, RRID:SCR_016137)</div></div></td></tr></table>
  Results from OddPub: Thank you for sharing your data.
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  The present study has certain limitations. In this study, we simplified the model analysis and performed model fitting with known data. Although the classical susceptible-infectious-removed (SIR) and susceptible-exposed-infectious-removed (SEIR) models were not adopted, the quartic model showed a good fit to known data. This helps us to learn the trends of cumulative confirmed cases quickly and easily. However, our fitted models were all based on known data as it was more appropriate than forecasting future data trends. In addition, the changes in trends of basic reproduction number (R0) are not discussed in our study. The effects of Chinese strategies will be better understood if the time to Speedmax and changes in R0 are discussed together. Third, more data of different infectious diseases and studies are needed to verify the effectiveness and value of the index Speedmax. In conclusion, by analyzing the time to Speedmax, our study suggests that Chinese strategies are highly effective on controlling the diffusion and deterioration of the Novel Coronavirus–Infected Pneumonia. These strategies therefore provide experience and effective guidelines for other countries to control the diffusion of COVID-19.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.10.20032755
doi.org doi.org

https://doi.org/10.1101/2020.03.08.20032946

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.08.20032946: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  There is an important caveat to this: the Singapore outbreak to date is small and has not implicated children. There has been widespread speculation that children could be frequent asymptomatic carriers and potential sources of SARS-CoV-2 (38,39). We calibrated our estimate of the overall amount of transmission based on the epidemic growth rate observed in China not long after the epidemic started. Growth in Western European countries so far appears to be faster, implying either shorter intervals between individuals becoming infected and transmitting onwards, or a higher R0. We illustrate the latter effect in Figs S18 and S19. If this is an accurate picture of viral spread in Europe and not an artefact of early growth, epidemic control with only case isolation and quarantining of traced contacts appears implausible in this case, requiring near-universal App usage and near-perfect compliance. The App should be one tool among many general preventative population measures such as physical distancing, enhanced hand and respiratory hygiene, and regular decontamination. An App-based intervention could be more powerful than our analysis here suggests, however. The renewal equation mathematical framework we use, while well adapted to account for realistic infectiousness dynamics, is not well adapted to account for benefits of recursion over the transmission network. Once they have been confirmed as cases, individuals identified by tracing can trigger further tracing, as can their con...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a protocol registration statement.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.08.20032946
doi.org doi.org

https://doi.org/10.1101/2020.03.10.20033605

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.10.20033605: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">The control group of pregnant women without pneumonia during hospital stay were randomly selected from the medical records by an investigator (MP), who was not involved in statistical analysis.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">Study design and patients: We retrospectively reviewed medical records of pregnant women who were admitted into the Hubei Provincial Maternal and Child Health Center, a tertiary hospital in Wuhan with 1,900 hospital beds, during January 24 – February 29, 2020.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  There are a few caveats in our study. First, this is a retrospective case control study from one single center, which could be subject to recall bias and selection bias. Second, we collected the data of sixteen pregnant women with laboratory confirmed COVID-19 pneumonia and eighteen suspected cases with typical CT imaging. Although this is the largest number of pregnant women with COVID-19 pneumonia in literature so far, the sample size is still relatively small. Nevertheless, given the potential of this virus to cause a global pandemic, we believe our study could be one of important clinical studies to guide the clinical diagnosis and treatment to this vulnerable group.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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URL

doi.org/10.1101/2020.03.10.20033605
doi.org doi.org

https://doi.org/10.1101/2020.03.10.20033613

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.10.20033613: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">Consent: All patients gave signed, informed consent for their dates to be used for scientific research.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.03.10.20033613
doi.org doi.org

https://doi.org/10.1101/2020.03.09.20033126

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.09.20033126: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: This study was approved by the institutional ethics board of Sichuan Hospital.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">All statistical analyses were performed using SPSS software (version 24, IBM, Armonk, NY)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Our study has some notable limitations. First, only 67 patients were included, although this study describes the largest cohort of Tibetan patients. With the effective measures taken by the government, the number of new patients has decreased. Second, some patients remained in hospital and the outcome is unknown at the time of data cutoff. We will continue to focus on the prognosis of these patients and report outcomes in due course. In conclusion, imported cases of SARS-CoV-2 infection in Tibetan patients were generally mild in this high-altitude area. Absence of fever or radiologic abnormalities on initial presentation was common. Our findings highlight the importance of active screening for residents who live in areas with high incidence rate of COVID-19.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.03.09.20033126
doi.org doi.org

https://doi.org/10.1101/2020.03.11.20034215

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.11.20034215: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Statistical analysis: Excel 2016 and GraphPad Prism 8 were used to record, calculate and analyze data.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Excel</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>GraphPad</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  This study has some limitations. The major influencing factors were mean cure time and death time. The death time was calculated based on the 134 death cases, and the cure time was based on 536 discharged cases. They may deviate from reality and affect the results. We suggest that the government discloses cases of infectious diseases for scientific study to share the resources. Accurate cure time and death time was obtained, it may help to accurately calculate the case fatality rate, and to provide a basis for prevention and control of infectious disease.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.03.11.20034215
doi.org doi.org

https://doi.org/10.1101/2020.03.12.20034660

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.12.20034660: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  There are some limitations of our study. First, we cannot identify whether containment measures, social distancing measures or behavioural changes are most important in suppressing COVID-19 transmission. It is likely that each plays a role, noting that unlinked cases have been identified in the community and will continue to be identified, indicating that not every chain of transmission has been identified by contact tracing from known cases. While we have demonstrated major effects of control measures and behavioural changes on influenza transmission (Figure 3), we can only infer similar changes in COVID-19 transmissibility if the two viruses share similar dynamics of transmission. Second, our survey of population behaviours could have been affected by response bias, since we relied on self-reported data, and could have been affected by selection bias away from working adults, although this should have been reduced by conducting surveys in non-working as well as working hours. Without data on the non-respondents, we were unable to assess potential selection bias. Without a baseline survey before 23 January we could not compare changes in behaviours, although we have published the results of similar surveys from previous epidemics which can be used for comparison.6-8,19 Finally, while we identified reductions in the incidence of influenza virus infections in outpatients and paediatric inpatients (Figure 3), it is possible that these time series were affected by reduced health...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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sciscore

URL

doi.org/10.1101/2020.03.12.20034660
doi.org doi.org

https://doi.org/10.1101/2020.03.10.20033944

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.10.20033944: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Sequence data collection and alignment of SARS-CoV-2: Current available coronavirus sequences (n=85) were collectively achieved from NCBI viral genome database (https://www.ncbi.nlm.nih.gov/, n=65), Genome Warehouse (https://bigd.big.ac.cn/gwh/, n=12), CNGBdb (https://db.cngb.org/, n=3) and NMDC (http://nmdc.cn/#/coronavirus, n=6).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>https://www.ncbi.nlm.nih.gov/</div><div>suggested: (GENSAT at NCBI - Gene Expression Nervous System Atlas, RRID:SCR_003923)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Multiple sequence alignment of all coronavirus genomes was performed by using MEGA v7.0.26.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>MEGA</div><div>suggested: (Mega BLAST, RRID:SCR_011920)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Evolutionary analyses were conducted in MEGA7 v7.0.26.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>MEGA7</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">APBS was calculated and evaluated by PyMOL v2.3.3, as previously reported20.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>PyMOL</div><div>suggested: (PyMOL, RRID:SCR_000305)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Single cell transcriptome data analysis: The raw counts or processed data were download from Tissue Stability Cell Atlas (https://www.tissuestabilitycellatlas.org/), Gene Expression Omnibus (GEO; https://www.ncbi.nlm.nih.gov/).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Gene Expression Omnibus</div><div>suggested: (Gene Expression Omnibus (GEO, RRID:SCR_005012)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: Please consider improving the rainbow (“jet”) colormap(s) used on pages 20 and 21. At least one figure is not accessible to readers with colorblindness and/or is not true to the data, i.e. not perceptually uniform.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.10.20033944
doi.org doi.org

https://doi.org/10.1101/2020.03.11.20024901

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.11.20024901: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.11.20024901
doi.org doi.org

https://doi.org/10.1101/2020.03.10.20033795

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.10.20033795: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: These studies were approved by the Ethics Committee of Shenyang Chest Hospital, and informed written consent was obtained from each of the study participants.<br>Consent: These studies were approved by the Ethics Committee of Shenyang Chest Hospital, and informed written consent was obtained from each of the study participants.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">IFN-γ IGRA assays: IFN-γ IGRA assays were performed using X.DOT-TB kits (TB Healthcare, Foshan, China) according to the manufacturer’s instructions8.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>TB Healthcare</div><div>suggested: (Clinical Data Interchange Standards Consortium, RRID:SCR_000219)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.03.10.20033795
doi.org doi.org

https://doi.org/10.1101/2020.03.11.20030957

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.11.20030957: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: This study complies with the Declaration of Helsinki and was approved by the ethics commissions of the Guangzhou Eighth people’s hospital, with a waiver of informed consent.<br>Consent: This study complies with the Declaration of Helsinki and was approved by the ethics commissions of the Guangzhou Eighth people’s hospital, with a waiver of informed consent.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">All analyses were performed using SPSS 25.0 (IBM Corp. Armonk, NY, USA)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Statistical charts were created using GraphPad Prism 7 software (GraphPad, San Diego, CA, USA), and a two-tailed p-value < 0.05 was considered statistically significant.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad Prism</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div><div style="margin-bottom:8px"><div>GraphPad</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.11.20030957
doi.org doi.org

https://doi.org/10.1101/2020.03.13.20034496

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.13.20034496: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The first and second author did the analyses on unweighted data with STATA 16.0, and statistical significance was assessed by p□<□0.05.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>STATA</div><div>suggested: (Stata, RRID:SCR_012763)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  The study has certain limitations. First, this study relied on an observational survey. Because the measures of the dependent variables of SF12, distress and life satisfaction used Likert scales, we tried to use predictors that were non-Likert scales, such as job status and severity of COVID-19 calculated based on archival data using the reported locations. Second, our sample is not a national representative sample. Our focus was to examine the differential effects on adults depending on the level of disruption, as captured by their job status, existing chronic issues, and exercise levels to identify who in the community of non-COVID-19 cases might need the most help for policymakers and potential caregivers. Third, even though we had data from people who had not been working even before the outbreak started (8.7%) and people who went out of work during the outbreak (1.6%), the sample size of those two groups was small and we are cautious not to report them in the findings. Nevertheless, people with these two job statuses could be important targets for future studies. We provide preliminary evidence on the health conditions of adults in COVID-19 affected regions. The identification of who might be more affected by COVID-19, not epidemiologically but simply by working and living in affected regions, carries important implications. Such identification can help to prioritize those who might need more help, and psychologists, mental health professionals and social workers can pro...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.13.20034496
doi.org doi.org

https://doi.org/10.1101/2020.03.12.20034728

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.12.20034728: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: Please consider improving the rainbow (“jet”) colormap(s) used on pages 20, 21 and 23. At least one figure is not accessible to readers with colorblindness and/or is not true to the data, i.e. not perceptually uniform.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.12.20034728
doi.org doi.org

https://doi.org/10.1101/2020.03.13.20035329

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.13.20035329: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">Consent: Each COVID-19 patients gave advanced oral consent.<br>IRB: This study was approved by the Ethics Committee of Anhui Medical University.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Statistical analysis: All statistical analyses were performed using SPSS 21.0 software.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.13.20035329
doi.org doi.org

https://doi.org/10.1101/2020.03.12.20034686

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.12.20034686: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: Study Design and Participants: This retrospective, observational study was approved by the institutional review board (IRB) of Affiliated Taihe Hospital of Hubei University of Medicine (Ethical approval No.2020KY01).<br>Consent: Informed consent was obtained from the patients and their guardians prior to data collection.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">Contamination: In particular, other respiratory pathogens were detected for differential diagnosis screening, including influenza A virus, influenza B virus, parainfluenza virus, respiratory syncytial virus, adenovirus, epstein-barr virus, and mycoplasma pneumoniae.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Statistical Analysis: Descriptive statistics were performed using SPSS software (version 20.0, IBM, Armonk, NY, USA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.12.20034686
doi.org doi.org

Assessment of public attention, risk perception, emotional and behavioural responses to the COVID-19 outbreak: social media surveillance in China

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.14.20035956: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  There are several limitations. First, there is censorship on Weibo in China, and thusly there was a possibility that we might not have captured all posts. To reduce this bias, we collected data (i.e. Weibo posts) daily, before government intervention. Second, LIWC is a tool that detects emotions using the frequency of words instead of the whole posts, which may lead to misclassification. We adopted its adapted Chinese version, which had been validated locally and can better match with Weibo to reduce misclassification. Third, there is an inherent bias in social media studies where data might misrepresent the real world because users might present themselves differently online and/or represent a skewed population towards the young. The lack of transparent, timely, and effective risk communication from health authorities on an emerging infectious disease in its early stages failed to bring about the appropriate level of public awareness and behavioral responses, such as avoidance of mass gatherings. The government did not provide any actionable advice for personal protection until 21 Jan. There were two missed windows of opportunity for early epidemic control of COVID-19 that we identified during the first 11 weeks of the outbreak: 1) the first COVID-19 case emerged on 8 Dec 2019, more than three weeks before 31 Dec, when the Wuhan Health Commission finally announced the outbreak;1-3 2) between 31 Dec and 19 Jan, the Wuhan Health Commission made four public announcements emphas...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.14.20035956
doi.org doi.org

https://doi.org/10.1101/2020.03.13.20035642

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.13.20035642: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Statistical analysis: Retrieved data were recorded in Microsoft Excel for Windows (version 18.19) for analysis.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Microsoft Excel</div><div>suggested: (Microsoft Excel, RRID:SCR_016137)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">8.0.1 (GraphPad Software, America)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.13.20035642
doi.org doi.org

https://doi.org/10.1101/2020.03.15.20034199

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.15.20034199: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  This analysis is subject to limitations. First, changes in diagnostic capacity and criteria for COVID-19 may have contributed to, at least partly, the secular trend of COVID-19 incidence. For example, there were underdiagnoses of COVID-19 during the early stage of the outbreak, and later a surge in COVID-19 cases around February 13 due to broadened diagnostic criteria. These changes were not travel-related and may distort the estimated association to some extent. Second, the temporal association between traffic and COVID-19 could be confounded by other preventive measures, such as increased self-quarantine and widespread use of face mask and hand sanitization. Therefore, the estimated intervention effect associated with the travel ban could be overestimated. Finally, as an ecologic study, our findings may suffer from ecologic fallacy and do not necessarily imply individual-level association between travel history and risk of COVID-19 infection. In conclusion, mass migration out of Wuhan facilitated the COVID-19 outbreak in other parts of China. The outflowing migration from Wuhan had a more prolonged impact on provinces that are closer to Wuhan and have more immigration from Wuhan. Provinces with higher GDP per capita were less impacted by migration. It is estimated that approximately 39% of cases outside of Wuhan have been prevented by the travel ban issued on January 23, 2020. In the absence of cures and immunization for an emerging infectious disease like COVID-19, transpo...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.15.20034199
doi.org doi.org

https://doi.org/10.1101/2020.03.13.20035428

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.13.20035428: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: This study was reviewed and approved by the Ethical Committee of Zhongnan Hospital of Wuhan University.<br>Consent: Written informed consent was waived by the Ethics Commission for emerging infectious diseases.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  However, the gold standard also has its limitations. Based on more than 3,000 detected cases by real-time RT-PCR in the clinical laboratory of Zhongnan hospital, our previous review summarized several reasons for false-negative incidence, at both detection level and patients level (14). From detection aspects, the quality and sensitivity of detection kits and viral preservation solutions from different companies may all affect the detection accuracy and result in the false-negative possibility. Besides, it is indicated that, during the disease progress, the heavy infection at the nasopharyngeal area of early stage would possibly become negative and the lower respiratory tract may severely be infected at late stage. Thus, the nasopharyngeal swab may not be the best sampling site for all patients at various disease stage. Moreover, patients with persistent anti-viral medication (such as anti-HIV drugs) may decrease the viral loading at the undetectable level. Therefore, additional detection techniques are urgently needed in the supplement to the current diagnostic shortages for the nuclear acid-negative suspected cases, whom would otherwise be ruled out. In this study, we investigated the quick detection approach targeting viral IgM or IgG antibody, the colloidal gold-based immunochromatographic (ICG) strip assay, in comparison with real-time RT-PCR testing. The antibodies are produced and secreted by B lymphocytes of the adaptive immune system when the foreign pathogens invade...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a protocol registration statement.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.13.20035428
doi.org doi.org

https://doi.org/10.1101/2020.03.15.20034629

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.15.20034629: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.15.20034629
doi.org doi.org

https://doi.org/10.1101/2020.03.13.20033290

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.13.20033290: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: This study was approved by the Ethical Committee of Ningbo First Hospital (approval number: 2020-R042) and registered with the registry website http://www.chictr.org (registration number: ChiCTR2000030697).<br>Consent: Signed informed consent was obtained online from all participants.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Statistical analysis were performed using SPSS 22.0 (SPSS Inc., Chicago, IL,USA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  This study has several limitations. First, because we performed a cross-sectional study, our results do not show a causal relationship. Second, in order to prevent potential COVID-19 infection, a web-based survey was conducted, and therefore the sampling of our study was voluntary, resulting in possible selection bias. Third, our sample is not highly representative as the respondents were all from Ningbo city.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.13.20033290
doi.org doi.org

https://doi.org/10.1101/2020.03.15.20036707

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.15.20036707: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">All statistical analyses were conducted in R version 3.6.2 (R Development Core Team, Vienna, Austria).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>R Development Core</div><div>suggested: (R Project for Statistical Computing, RRID:SCR_001905)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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sciscore

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doi.org/10.1101/2020.03.15.20036707
doi.org doi.org

https://doi.org/10.1101/2020.03.14.20036178

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.14.20036178: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">To fit t he d ata p oints w e u se the optimize.curve_f it implementation of the scipy.optimize library (13). D.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>scipy</div><div>suggested: (SciPy, RRID:SCR_008058)</div></div></td></tr></table>
  Results from OddPub: Thank you for sharing your code and data.
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.14.20036178
doi.org doi.org

https://doi.org/10.1101/2020.03.15.20036582

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.15.20036582: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: Thank you for sharing your code and data.
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Despite the advantages of our approach, there are limitations of it that should be acknowledged. First, our results were, in some cases, sensitive to deviations from baseline assumptions (Supplementary Information Text). Although most parameter scenarios we explored resulted in similar cumulative infections, higher values of R and earlier importation resulted in estimates in excess of 100,000 (Fig. S6). Second, our branching process model assumes exponential growth, which could be affected by social distancing (24) or the buildup of immunity (25). Neither of those factors were likely to have had much influence on local transmission of SARS-CoV-2 in the US before March 13, however. Third, our parameter assumptions were based on analyses of data collected outside the US. Similar information has proven useful for other pathogens though, such as Zika and Ebola in past public health emergencies (26, 27). Fourth, we did not make use of airline data to model importation (28), but future applications of our method could incorporate that type of information. The limitations of our approach mean that results from our baseline scenario should be interpreted cautiously. Nonetheless, based on our sensitivity analysis, we conclude that unobserved SARS-CoV-2 infections in the US by March 12 likely numbered in the tens of thousands, and quite possibly in excess of 100,000. This result, considered together with extensive pre-symptomatic and asymptomatic transmission of SARS-CoV-2 (3, 4), sugg...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.15.20036582
doi.org doi.org

https://doi.org/10.1101/2020.03.15.20036541

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.15.20036541: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Our study has several major limitations. Recent studies have successively reported that some patients infected with COVID-19 might infect others before their symptom onset [24,34]. Disease transmission during the pre-symptomatic stage implies the possibility of having a negative value of serial interval. This would affect the formulation of estimation equation since the distributional assumption did not gave it a corresponding probability. Alternatively, a generation interval could be used but it is usually hard to be estimated due to unobserved infectiousness onset. Nevertheless, our sensitivity analysis demonstrated that the variation of serial interval within a reasonable range did not affect our main conclusion. Another limitation is the underreporting of confirmed cases due to the unavailability of virological testing in the early stage of epidemic. According to an early investigation [35], an estimate of 75_thousand individuals were found to be infected in Wuhan as of 25 January and we believe similar underreporting was likely to occur in our setting. With detailed data available on reporting rates and serological surveillance, our analytic frame can be extended to a more complex context that incorporates these factors. In addition, our estimates shall be refined if more updated knowledge of the pathogen is available. In conclusion, we showed the lockdown measures and local outbreak responses helped reduce the potential of local transmission in Hangzhou and Shenzhen. Th...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

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doi.org/10.1101/2020.03.15.20036541
doi.org doi.org

https://doi.org/10.1101/2020.03.14.20036103

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.14.20036103: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Several ad hoc methods have been therefore proposed, many of which now freely and publicly available in the form of powerful routines working under software package such as Python® or R®.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Python®</div><div>suggested: (IPython, RRID:SCR_001658)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.14.20036103
doi.org doi.org

https://doi.org/10.1101/2020.03.14.20036129

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.14.20036129: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: ETHICS STATEMENT: Data collection of cases and close contacts were determined by the National Health Commission of the People’s Republic of China to be part of a continuing public health outbreak investigation and were thus considered exempt from institutional review board approval.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

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doi.org/10.1101/2020.03.14.20036129
doi.org doi.org

https://doi.org/10.1101/2020.03.17.20037903

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.17.20037903: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Data were analyzed using the ViiA7 software v2.2.2 (Thermo Fisher Scientific).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>ViiA7</div><div>suggested: None</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.17.20037903
doi.org doi.org

https://doi.org/10.1101/2020.03.17.20037671

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.17.20037671: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">MATLAB codes are presented in the supplementary file.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>MATLAB</div><div>suggested: (MATLAB, RRID:SCR_001622)</div></div></td></tr></table>
  Results from OddPub: Thank you for sharing your code.
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.17.20037671
doi.org doi.org

https://doi.org/10.1101/2020.03.15.20036319

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.15.20036319: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.15.20036319
doi.org doi.org

https://doi.org/10.1101/2020.03.17.20037572

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.17.20037572: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">Data analysis: Firstly, to obtain summary e□ect estimate for each clinical variable, including case severity rate (CSR), case fatality rate (CFR), male proportion, mean age, pooled value of lymphocyte count and timeline of COVID-19 confirmed patients, random e□ects meta-analysis was used because high variability between studies was expected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Search strategy and study selection: PubMed, Embase, Cochrane, the Web of Science Core Collection (Clarivate Analytics), and MedRxiv databases were used for searching articles published until February 25, 2020 using the following keywords: “coronavirus”, “nCoV”, “HCoV”, “Wuhan”, “2019” “SARS-CoV-2”, “COVID*”, “NCP*”, “China”, “clinical”, “outcome”, “sever*”, “death”, “fatali*” and “mortalit*” alone and in combination.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>PubMed</div><div>suggested: (PubMed, RRID:SCR_004846)</div></div><div style="margin-bottom:8px"><div>Embase</div><div>suggested: (EMBASE, RRID:SCR_001650)</div></div><div style="margin-bottom:8px"><div>Cochrane</div><div>suggested: (Cochrane Library, RRID:SCR_013000)</div></div><div style="margin-bottom:8px"><div>MedRxiv</div><div>suggested: (medRxiv, RRID:SCR_018222)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">All analyses were performed using Review Manager (version5.3), Stata (version 15) and R (version 3.5.3), RStudio (version 1.2.1335) and Comprehensive Meta-analysis (version 3.3).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>RStudio</div><div>suggested: (RStudio, RRID:SCR_000432)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.17.20037572
doi.org doi.org

https://doi.org/10.1101/2020.03.18.20038190

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.18.20038190: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: We added the WHO clinical trial registry (http://apps.who.int/trialsearch/) and the International Standard Randomised Controlled Trial Number (ISRCTN) Registry, recognized by the WHO and the International Committee of Medical Journal Editors (ICMJE).</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">We selected the following clinical trial registries: U.S. (https://clinicaltrials.gov/), Chinese (www.chictr.org.cn/), Korean (https://cris.nih.go.kr/cris/en/), Iranian (https://www.irct.ir/), Japanese (https://rctportal.niph.go.jp/en/), and European (https://www.clinicaltrialsregister.eu/).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>https://www.clinicaltrialsregister.eu/</div><div>suggested: (EU Clinical Trials Register, RRID:SCR_005956)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  However, although the number of trials identified is high, there are a number of caveats. First, numerous treatments have been selected based on various levels of supporting preclinical data. Most of the agents evaluated in clinical trials have shown an in vitro antiviral activity, sometimes including coronaviruses. Lopinavir/ritonavir is tested in 15 clinical trials in this review. This combination has shown an in vitro activity against SARS-CoV in several studies15 and appears to have activity against MERS-CoV in animal studies16. The use of this agent for treatment of COVID-19 has been described in case reports17,18 and in a case series of patients infected with SARS-CoV-2 in Singapore.19 We found 18 clinical trials evaluating hydroxychloroquine or chloroquine, whose mechanism of action is similar.20 The in vitro antiviral activity of chloroquine has been known for a long time21 and was described on a number of viruses including SARS-CoV.22 However, chloroquine failed to demonstrate a benefit in the treatment of viral diseases such as influenza, dengue or chikungunya.23–25 Regarding COVID-19, a recent publication reported an activity of chloroquine on SARS-CoV-226 and another encouraged the use of chloroquine for patients with COVID-19 on the basis of unreported clinical results.27 Experts in China have suggested the use of chloroquine for patients infected with SARS-CoV-2 but no clinical data has been provided yet to support this announcement.28,29 Remdesivir is evaluated...
  Results from TrialIdentifier: We found the following clinical trial numbers in your paper:<br><table><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Identifier</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Status</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Title</td></tr><tr><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">NCT04280705</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Completed</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Adaptive COVID-19 Treatment Trial (ACTT)</td></tr><tr><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">NCT04252274</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Recruiting</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Efficacy and Safety of Darunavir and Cobicistat for Treatmen…</td></tr></table>
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.18.20038190
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https://doi.org/10.1101/2020.03.18.20038067

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.18.20038067: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

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doi.org/10.1101/2020.03.18.20038067
doi.org doi.org

https://doi.org/10.1101/2020.03.17.20037515

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.17.20037515: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">Consent: Written informed consent was waived by the Ethics Commission of each hospital for emerging infectious diseases.<br>IRB: The study was approved by the Ethics Committee of the Eighth People’s Hospital of Guangzhou, the Ethics Commission of the Third Affiliated Hospital of Sun Yat-sen University and the Ethics Commission of Zhongnan Hospital.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The missing values were imputed by expectation-maximization (EM) method using SPSS statistical software, version 25 (SPSS, Inc., Chicago, IL, USA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  There were some limitations in the study. First, this is a retrospective study, including 372 patients with non-severe COVID-19 on admission. ACE2, the receptor for SARS-COV-2, has been reported to be differentially expressed in different populations[21]. The differences in patient profiles and healthcare might have effect on the performance of nomogram in other populations outside of China. Further studies on different populations with larger patient cohorts are required to verify our findings. Second, some patients are still in hospital and their condition may change with follow-up. The final survival outcome is lacking. Third, the study has not included IgM and IgG antibodies detection. More comprehensive investigations need to be conducted to explain the characteric of the 7 features. In summary, our data suggest that our nomogram could early identify the severe COVID-19 patients, and RDW was vaulable for prediction of severe diseases. Our nomogram is especially valuable for risk stratification management, which will be helpful for alleviating insufficient medical resources and reducing mortality.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a protocol registration statement.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.17.20037515
doi.org doi.org

https://doi.org/10.1101/2020.03.19.20038729

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.19.20038729: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.19.20038729
doi.org doi.org

https://doi.org/10.1101/2020.03.18.20038224

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.18.20038224: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: Thank you for sharing your code.
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  No funding statement was detected.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.03.18.20038224
doi.org doi.org

https://doi.org/10.1101/2020.03.18.20038612

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.18.20038612: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">H, the number of hospitalized cases; R, the number of removed cases, and finally N, the total population of Portugal. β1 is the transmission coefficient of the asymptomatic infected cases, β2 is the transmission coefficient of the symptomatic infected cases (mild infected person and severe patients) to the susceptible, β3 is the transmission coefficient of the hospitalized cases to the susceptible, σ−1 is the mean incubation period, λ−1 is the mean time between symptom onset to hospitalization, k1-1 is the mean infectious period of asymptomatic infected person for survivors, k2-1 is the mean duration for hospitalized cases for survivors, δ−1 is the mean time from hospitalization to death, γ is the clinical outbreak rate in all the infected cases.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Portugal.</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The solving of the system of differential equations was performed using the Mathematica code [17], using the function “NonLinearModelFit”[18].</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Mathematica</div><div>suggested: (Wolfram Mathematica, RRID:SCR_014448)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.18.20038612
doi.org doi.org

https://doi.org/10.1101/2020.03.17.20036640

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.17.20036640: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (the institutional review board at Tsinghua University) and with the Helsinki Declaration of 1975, as revised in 2000.<br>Consent: Informed consent was obtained from all subjects for being included in the study.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Western blot was performed to confirm their antigenicity by mouse anti-His monoclonal antibody (Proteintech, HRP-66005)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-His</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">An anti-Human IgG-biotin conjugated monoclonal antibody (Sino Biological Inc., Wayne, PA) and streptavidin-HRP were used at a dilution of 1:500 and 1:250, respectively, and anti-human IgM-HRP conjugated monoclonal antibody (Inova Diagnostics, Inc., San Diego, CA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-Human IgG-biotin</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>anti-human IgM-HRP</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Neutralizing antibody assay: Pseudovirus expressing the SARS-CoV-2 S protein was produced as described previously 19. pNL43Luci and GP-pCAGGS were co-transfected into 293T cells.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>293T</div><div>suggested: NCBI_Iran Cat# C498, RRID:CVCL_0063)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Then the mixtures were transferred to 96-well plates containing monolayers of Huh-7 cells.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Huh-7</div><div>suggested: CLS Cat# 300156/p7178_HuH7, RRID:CVCL_0336)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The neutralizing antibody titer were calculated by performing S-fit analysis via Graphpad Prism 7 software.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Graphpad Prism</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">FACS staining: PBMCs were washed with PBS plus 2% FBS (Gibco, Grand Island, NY), and then Fc blocking reagent (Meltenyi Biotec, Inc., Auburn, CA) was added followed by a wash with PBS plus 2% FBS.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Meltenyi Biotec</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Data were analyzed using FlowJo software (Version 10.0.8</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>FlowJo</div><div>suggested: (FlowJo, RRID:SCR_008520)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Statistical analysis: Prism 7 software is used for statistical analysis.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Prism</div><div>suggested: (PRISM, RRID:SCR_005375)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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URL

doi.org/10.1101/2020.03.17.20036640
doi.org doi.org

https://doi.org/10.1101/2020.03.15.20036376

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.15.20036376: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: The ethics committees of both centers approved the study.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Therefore, ORF1ab and N sequences of SARS-Cov-2, its close related coronavirus species (HCoV-NL63, HCoV-OC43, HCoV-229E and HCoV-HKU1), and other viral species, namely Adenovirus, Respiratory syncytial virus A, Human parainfluenza 2 virus</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HCoV-NL63</div><div>suggested: RRID:CVCL_RW88)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Moreover, HeLa cells (TechStar Co. Ltd, Jiangsu, China) and genomic DNA of clinically prominent bacteria or fungal species, including Staphylococcus aureus, Mycobacterium tuberculosis</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HeLa</div><div>suggested: CLS Cat# 300194/p772_HeLa, RRID:CVCL_0030)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Designed primers were subjected to BLAST (https://blast.ncbi.nlm.nih.gov/Blast.cgi) and the specific candidates were used for analytical sensitivity and specificity testing (Table 1).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>BLAST</div><div>suggested: (BLASTX, RRID:SCR_001653)</div></div><div style="margin-bottom:8px"><div>https://blast.ncbi.nlm.nih.gov/Blast.cgi</div><div>suggested: (TBLASTX, RRID:SCR_011823)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  These two limitations will be the subject of future investigation. Moreover, we will try to use simple and fast nucleic acid extraction procedures (7) that only uses heat that will further decrease the turn-around-time.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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sciscore

URL

doi.org/10.1101/2020.03.15.20036376
doi.org doi.org

https://doi.org/10.1101/2020.03.16.20036780

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.16.20036780: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">SPSS 23.0 (IBM Corporation, Armonk, NY) statistical software was used for statistical analysis.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">GraphPad Prism 6 (GraphPad Software, USA) was used for statistical analysis and visualization.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad Prism</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div><div style="margin-bottom:8px"><div>GraphPad</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  ADE can elicit sustained inflammation, lymphopenia, and/or cytokine storm, which is a possible explanation for the geographic limitation of severe cases. Third, combined infections may lead to a more severe systemic inflammatory response. Indeed, in our study, some patients had infections in other organs (e.g. urinary tract and blood) caused by other pathogens (e.g., influenza virus and fungi). Fourth, shock, hypoxemia and coagulation pathway abnormalities in critical patients could aggravate the systemic inflammatory response, which lead to a vicious cycle that is life-threatening (37, 38). In our study, PIRRT was associated with prolonged survival in COVID-19 patients with invasive mechanical ventilation. The primary goal of RRT is to compensate for the loss of renal function and associated sequelae, including uremic toxicity, electrolyte disturbances, metabolic acidosis, and volume overload (22, 39). In addition, RRT can also remove cytokines from the bloodstream. Emerging evidence has shown that RRT was associated with significantly lower mortality in patients with severe sepsis (17, 18, 40). Besides, in patients with acute respiratory distress syndrome, RRT could remove inflammatory mediators, modulate immune function, and regulate oxygenation, thus improving patient prognosis (41-43). PIRRT is a widely used blood purification therapy, that achieves a high solute clearance rate through diffusion and convection (44). PIRRT has shown to encompass the benefits of both conti...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
Visit annotations in context

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sciscore

URL

doi.org/10.1101/2020.03.16.20036780
doi.org doi.org

https://doi.org/10.1101/2020.03.17.20037770

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.17.20037770: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.03.17.20037770
doi.org doi.org

https://doi.org/10.1101/2020.03.21.001933

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.21.001933: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Phylogenetic reconstruction, and analysis testing for evidence of positive/purifying selection in the coronavirus S-protein region: The most similar genomes to SARS-CoV-2 MN908947 were retrieved using BLASTp (Altschul et al., 1997) vs the NR database of GenBank (Table 1).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>BLASTp</div><div>suggested: (BLASTP, RRID:SCR_001010)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Genomes were then aligned using MAUVE (Darling et al., 2004) and the S-protein gene was trimmed.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>MAUVE</div><div>suggested: (Mauve, RRID:SCR_012852)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The phylogenetic reconstruction of S-protein genes was performed with PhyML (Guindon et al., 2010), using a GTR+I+G model, using 100 non-parametric bootstrap replicates.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>PhyML</div><div>suggested: (PhyML, RRID:SCR_014629)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">We used the set of programs available in HyPhy (Kosakovsky Pond et al., 2020), Fast Unconstrained Bayesian</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HyPhy</div><div>suggested: (HyPhy, RRID:SCR_016162)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Homology models were built with Modeller v.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Modeller</div><div>suggested: (MODELLER, RRID:SCR_008395)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  This result does not disregard the presence of positive selection sites in SARS-CoV-2, nonetheless, it shows the limitation of the methods to identify with precision specific sites under positive selection in a precise taxon of a phylogenetic tree. We further warn researchers need to be conservative with interpretations of studies utilizing these methodologies, given the equivocal results can be generated by datasets varying in genetic similarity. To complement our analyses looking for evidence of selection among lineages, we specifically analyzed for patterns of selection across sites in the S-protein genes, we used the sites models available in CODEML and HyPhY. Model M2 of CODEML detected 0.133 % of sites under positive selection (ω>1) and models M1 and M2 detected 85% of sites under purifying selection (ω<1). Model M2 explains the significant data better (p=7e-4) than M1 model, that takes in account only sites with neutral and purifying selection. FUBAR of HyPhy also detected 1070 sites under purifying selection and only 2 sites under positive selection (alignment size 1284). A similar analysis performed by Benvenuto et al. (2020) with FUBAR detects 1065 sites under purifying selection and sites 536 and 644 as under positive selection. These results suggests by in large strong purifying selection is acting over the vast majority of the S-protein gene, with a comparatively low proportion of sites under positive selection. The evidence of a high amount of purifying selectio...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  No funding statement was detected.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
Visit annotations in context

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sciscore

URL

doi.org/10.1101/2020.03.21.001933
doi.org doi.org

https://doi.org/10.1101/2020.03.20.20038679

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.20.20038679: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.03.20.20038679
doi.org doi.org

https://doi.org/10.1101/2020.03.19.20038158

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.19.20038158: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">WorldClim is a set of global climate layers (gridded climate data), which can be used for mapping and spatial modeling.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>WorldClim</div><div>suggested: (WorldClim, RRID:SCR_010244)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">To correlate the virus presence records given by WHO with the bioclimatic variables, we applied a machine-learning technique called maximum entropy modeling, employing Maxent11 version 3.4.1.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Maxent11</div><div>suggested: None</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
Visit annotations in context

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sciscore

URL

doi.org/10.1101/2020.03.19.20038158
doi.org doi.org

https://doi.org/10.1101/2020.03.19.20038315

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.19.20038315: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: The institutional ethics board of our institutes approved this study (No. 2020.43).</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  This study has some limitations. First, we had a relatively small number of recovered patients, including only 18 of 52 patients with three follow-up CT images. Second, the time of follow-up was relatively short, and the full outcome of the RT-PCR results may be limited to some extent. Third, the results of pro-inflammatory cytokines (IL-1, IL-6, IL12, TGFβ and IFN-γ) and chemokines (CCL2, CXCL10, and IL8) were lacking, and more evidence is needed regarding the sustainable inflammatory condition of COVID-19 after obtaining negative RT-PCR results. Thus, further investigations considering the abovementioned limitations are required.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.03.19.20038315
doi.org doi.org

https://doi.org/10.1101/2020.03.20.20038422

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.20.20038422: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
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  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.20.20038422
biorxiv.org biorxiv.org

http://biorxiv.org/cgi/content/short/2020.09.16.300277

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.09.16.300277: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IACUC: All animal experimentation was reviewed and approved by Emory University’s Institutional Animal Care and Use Committee (IACUC) under permit PROTO202000035.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">The regularized log expression values were obtained using the rlog function with the parameters blind =FALSE and filtType = “parametric”.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The slides were cooled, rinsed twice in distilled water and 1X TBS with 0.05% Tween-20 (TBS-T), blocked (TBS-T + 0.25% casein) for 30 minutes at room temperature, then incubated at room temperature with antibodies against IL-6 (Sigma; Cat. No. SAB4301665 at 1:250 for 1 hour), Mx1 (EMD; Cat. No. MABF938 at 1:1000 for 1 hour), MPO (Dako; Cat. No. A0398 at 1:1000 for 1 hour), pSTAT3 (Cell Signaling; Cat. No. 9145L at 1:200 for 2 hours), Iba-1 (BioCare; Cat. No. CP290A at 1:500 for 1 hour) and pJAK2 (abcam; Cat. No. ab32101 1:150 for 1 hour)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>IL-6</div><div>suggested: (Leinco Technologies Cat# I-150, RRID:AB_2830544)</div></div><div style="margin-bottom:8px"><div>Mx1</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>pSTAT3</div><div>suggested: (Fluidigm Cat# 3158005, RRID:AB_2661827)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Immunophenotyping was performed using anti-human monoclonal antibodies (mAbs), which we (Harper et al., 2020; McGary et al., 2017; Micci et al., 2015; Pino et al., 2019) and others, including databases maintained by the NHP Reagent Resource (MassBiologics), have shown as being cross-reactive in RMs.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-human monoclonal antibodies ( mAbs)</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Vero cells were cultured and maintained in MEM (Sigma) supplemented with 10% heat inactivated fetal bovine serum (FBS) (Gibco) and 1 mM L-glutamine (Gibco), 50 U/ml penicillin and 50 μg/ml streptomycin (Gibco).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">SARS-CoV-2 (NR-52281: BEI Resources, Manassas, VA; USA-WA/2020, Lot no. 70033175) was passaged on Vero E6 cells at a MOI of 0.01 to produce the infectious viral stock.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Vero E6</div><div>suggested: RRID:CVCL_XD71)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Data were collected and processed by Thermo Xcalibur 3.0 software.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Thermo Xcalibur</div><div>suggested: (Thermo Xcalibur, RRID:SCR_014593)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The sections were incubated with Thyroid Transcription Factor-1 (Clone 8G7G3/1) for overnight at 4°C followed by a detection polymer system (MACH 2™; Biocare Medical)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>MACH</div><div>suggested: (MACH, RRID:SCR_009621)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">RNA quality was assessed using an Agilent Bioanalyzer and total RNA was used as input for cDNA synthesis using the Clontech SMART-Seq v4 Ultra Low Input RNA kit (Takara Bio) according to the manufacturer’s instructions.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Agilent Bioanalyzer</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Bulk RNA-Seq analysis: The quality of reads was evaluated using FastQC (https://www.bioinformatics.babraham.ac.uk/projects/fastqc/).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>FastQC</div><div>suggested: (FastQC, RRID:SCR_014583)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The combined genomic and gtf files were used for generating the STAR index.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>STAR</div><div>suggested: (STAR, RRID:SCR_015899)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The VennDiagram R library was used to create the venn diagrams.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>VennDiagram</div><div>suggested: (VennDiagram, RRID:SCR_002414)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">GSEA 4.1.0 (https://www.gsea-msigdb.org/) was used for gene set enrichment analysis with the following gene sets: Hallmark and Canonical pathways (MsigDB), NHP ISGs (Sandler et al.) and Rheumatoid arthritis (KEGG map05323).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>KEGG</div><div>suggested: (KEGG, RRID:SCR_012773)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">GSEA was run with default parameters with the permutation type set to gene_set.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GSEA</div><div>suggested: (SeqGSEA, RRID:SCR_005724)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The input for GSEA was the regularized log expression values obtained from DESeq2 which was filtered to remove genes with mean expression <=0.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>DESeq2</div><div>suggested: (DESeq, RRID:SCR_000154)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Differential gene expression between the clusters was assessed by MAST (Finak et al., 2015).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>MAST</div><div>suggested: (MAST, RRID:SCR_016340)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Heatmaps, Dot plots and Violin plots were generated using ggplot2 (Wickham, 2016) package in R.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>ggplot2</div><div>suggested: (ggplot2, RRID:SCR_014601)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">A panel of the following mAbs was used for the longitudinal phenotyping of innate immune cells in whole blood (500 μL), as described in (Kuri-Cervantes et al., 2020), and mononuclear cells (106 cells) derived from LN biopsies, BAL, and lung: anti-CD20-BB700 (clone 2H7; 2.5 μL; cat. # 745889), anti-Ki-67-BV480 (clone B56; 5 μL; cat. # 566109), anti-CD14-BV605 (clone M5E2; 2.5 μL; cat. # 564054), anti-CD56-BV711 (clone B159; 2.5 μL; cat. # 740781), anti-CD115-BV750 (clone 9-4D2-1E4; 2.5 μL; cat. # 747093), anti-CD3-BUV395 (clone SP34-2; 2.5 μL; cat. # 564117), anti-CD8-BUV496 (clone RPA-T8; 2.5 μL; cat. # 612942), anti-CD45-BUV563 (clone D058-1283; 2.5 μL; cat. # 741414), anti-CCR2-BUV661 (clone LS132.1D9; 2.5 μL; cat. # 750472), anti-CD16-UV737 (clone 3G8; 2.5 μL; cat. # 564434), anti-CD69-BUV805 (clone FN50; 2.5 μL; cat. # 748763), and Fixable Viability Stain 700 (2 μL; cat. # 564997) all from BD Biosciences; anti-CD38-FITC (clone AT1; 2.5 μL; cat. # 60131FI) from STEMCELL Technologies; anti-CD161-BV421 (clone HP-3G10; 5 μL; cat. # 339914), anti-HLA-DR-BV650 (clone L243; 5 μL; cat. # 307650), anti-CD11c-BV785 (clone 3.9; 5 μL; cat. # 301644), anti-CD11b-PE (clone ICRF44; 2.5 μL; cat. # 301306), and anti-CD123-APC-Fire750 (clone 315; 2.5 μL; cat. # 306042) all from Biolegend; anti-GranzymeB-PE-TexasRed (clone GB11; 2.5 μL; cat. # GRB17) from Thermo Fisher; anti-CD66abce-PE-Vio770 (clone TET2; 1 μL; cat. # 130-119-849) from Miltenyi Biotec; and anti-CD27-PE-Cy5 (clone 1A4CD27; 2.5 μL; cat. # 6607107) and anti-NKG2A-APC (clone Z199; 5 μL; cat. # A60797) from Beckman Coulter (Supplementary Fig. 4).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>BD Biosciences</div><div>suggested: (BD Biosciences, RRID:SCR_013311)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Acquisition of data was performed on a FACSymphony A5 (BD Biosciences) driven by FACS DiVa software and analyzed with FlowJo (version 10.7; Becton, Dickinson, and Company).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>FlowJo</div><div>suggested: (FlowJo, RRID:SCR_008520)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">We used the Phenograph clustering approach (https://github.com/jacoblevine/PhenoGraph) Determination of intracellular cytokine induction following SARS-CoV-2 S peptide pool and PMA/Ionomycin stimulation: Cryo-preserved PBMCs were thawed, resuspended in RPMI medium supplemented to contain a final concentration of 10% Fetal Bovine Serum (FBS) (Corning Life Sciences/Media Tech Inc, Manassas, VA)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Phenograph</div><div>suggested: (Phenograph, RRID:SCR_016919)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Panel 1: anti-CD3 BUV395 (clone SP34-2; 2.5 μL; cat. # 564117), anti-CD8-BUV496 (clone RPA-T8; 2.5 μL; cat. # 612942), and Fixable Viability Stain 700 (2 μL; cat. # 564997) all from BD Bioscience; anti-CD4 APC/Cy7 (clone OKT4; 2.5 μL; cat. # 317418) from Biolegend; To detect intracellular expression of cytokines, mononuclear cells were fixed and permeabilized with a Cytofix/Cytoperm kit (BD Biosciences) and stained as follows: anti-IL-21 BV421 (clone 3A3-N2.1; 5 μL; cat# 564755) from BD Bioscience; anti-IL-2 BV650 (clone MQ1-17H12; 5 μL; cat# 500334) and anti-IFNγ PE/Dazzle 594 (clone B27; 5 μL; cat# 506530) both from Biolegend; anti-IL-17a Alexa Fluor 488 (clone eBio64DEC17; 5 μL; cat# 53-7179-42)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>BD Bioscience</div><div>suggested: (BD Biosciences, RRID:SCR_013311)</div></div><div style="margin-bottom:8px"><div>Biolegend</div><div>suggested: (BioLegend, RRID:SCR_001134)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">anti-IL-22 APC (clone IL22JOP; 5 μL; cat# 17-7222-82), and anti-TNFα PE-Cyanine7 (clone Mab11; 0.5 μL; cat# 25-7349-82) all from Thermo Fisher Scientific; and anti-IL-4 PE (clone 7A3-3; 5 μL; cat# 130-091-647) from Miltenyl Biotech.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Thermo Fisher Scientific</div><div>suggested: (Thermo Fisher Scientific, RRID:SCR_008452)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Analyses, unless otherwise noted, were performed with Prism version 8 (GraphPad).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Prism</div><div>suggested: (PRISM, RRID:SCR_005375)</div></div><div style="margin-bottom:8px"><div>GraphPad</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Data tables for expression counts for bulk and single-cell RNA-Seq for BAL are deposited in NCBI’s Gene Expression Omnibus and are accessible through GEO accession #####</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Gene Expression Omnibus</div><div>suggested: (Gene Expression Omnibus (GEO, RRID:SCR_005012)</div></div></td></tr></table>
  Results from OddPub: Thank you for sharing your code.
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Being performed in an animal model, this study has some key advantages and some important limitations. Advantages include the ability to correct for parameters that may impact clinical outcome and treatment readout, including using the same virus inoculum, dose, and route of infection, and starting baricitinib at the same phase of infection in all subjects. Furthermore, the NHP model permits longitudinal collection of BAL and lung at necropsy, which in turn allows the in-depth characterization of the impact of baricitinib on immune activation and immunologic responses, including single-cell RNA sequencing analyses of macrophages, at the foci of infection. The main limitation of the study is the small group size, with a total of eight RMs; furthermore, being that SARS-CoV-2 infected RMs is a model of moderate COVID-19 (at least in animals between 11-17 years old as in our study) and with treatment initiated early after infection, we cannot determine if the therapeutic impact of baricitinib will be the same in severe COVID-19 patients and when started later than 2 days post-infection. Mitigating that concern, in our study, treatment started at peak viremia, including in BAL, and once inflammatory signatures were already highly up-regulated, mimicking the conditions in which baricitinib would be administered clinically. Indeed, a recent small clinical trial in 20 severe COVID-19 patients indicated that baricitinib mitigated immune dysregulation by reducing plasma levels of IL6, ...
  Results from TrialIdentifier: We found the following clinical trial numbers in your paper:<br><table><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Identifier</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Status</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Title</td></tr><tr><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">NCT04401579</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Completed</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Adaptive COVID-19 Treatment Trial 2 (ACTT-2)</td></tr><tr><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">NCT04421027</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Recruiting</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">A Study of Baricitinib (LY3009104) in Participants With COVI…</td></tr></table>
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
Visit annotations in context

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sciscore

URL

biorxiv.org/cgi/content/short/2020.09.16.300277
doi.org doi.org

https://doi.org/10.1101/2020.03.19.20039404

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.19.20039404: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  As a simulation study, there are important limitations to our analysis. Simulations rely on assumptions to make predictions, and ours use assumptions derived from available data. For example, we do not know the number of healthcare workers with dependents - we estimate this based on representative data that could be inaccurate for some regions. Similarly, there are no datasets that tell us how many healthcare workers would be unable to find child care in the event of school closures - we instead estimate this using representative microdata. Lack of available data prohibits us from making precise estimates for counties with small populations. Given the current uncertainty of transmission parameters, our transmission models should not be used to accurately predict infection and hospitalization rates, but rather to estimate the relative effectiveness of school closures based on the age-demographics of each county. Although our economic analysis demonstrates the affordability of a child care subsidy, our method does not prove that child care subsidies would necessarily reduce absenteeism resulting from school closures. We emphasize that our work does not argue for or against school closures due to currently unclear fatality and transmission data, but rather that we highlight areas that would suffer more in the event of school closure and could therefore benefit more from child care subsidies. Further research should investigate whether child care subsidies for healthcare workers ...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
Visit annotations in context

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sciscore

URL

doi.org/10.1101/2020.03.19.20039404
doi.org doi.org

https://doi.org/10.1101/2020.03.16.20037259

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.16.20037259: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: This study was approved by the Ethics Committee of Chongqing Public Health Medical Treatment Center (NO.2020-018-01-KY), informed consent was allowed to be waived.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Statistical analysis in this study were conducted with SPSS 25.0.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Limitations of this study: (1) Because some SARS-CoV-2 infected patients have been discharged from hospitals, and the early epidemic situation is severe, medical workers are devoted to fighting the epidemic, resulting in the loss of some patients’ files. (2) 167 Case data we used were from the Chongqing Public Health Medical Center, and the number of asymptomatic infections is 20, which is relatively small. More case data of asymptomatic patients are needed to confirm our results. (3) Due to the huge workload of medical workers, patients with pneumonia infected by virus complex bacteria are not distinguished. (4) Our data is artificially calculated and not automatically generated by the system, so it has a certain degree of subjectivity.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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URL

doi.org/10.1101/2020.03.16.20037259
doi.org doi.org

https://doi.org/10.1101/2020.03.17.20034454

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.17.20034454: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">For negative controls, 10 samples which were sent for unrelated virology tests from 2 different groups of patients were randomly selected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">We performed two serological test methods on the selected samples using the SARS-CoV total antibody ELISA test as described by Ksiazek et al8 and Anti-SARS CoV Indirect Immunofluorescence test (IIFT) (IgM & IgG) by Euroimmun (Germany) according to the specified protocols and manufacturer’s instructions respectively.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Anti-SARS</div><div>suggested: None</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Limitations of this study includes the relatively small number of patients and inconsistent series of sera which ideally should have been collected at a predetermined regular time interval to determine when IgM and IgG can be detected after infection in COVID-19 by these assays. We also did not take into account other factors which could cause the delay in development of antibodies such as immunosuppressive conditions and other treatment modalities that could affect this. However, this study has provided evidence that antibodies to SARS-Cov-2 cross reacts to give positive results in existing SARS-CoV test assays due to the similar structural proteins that it shares with SARS-CoV. The positive predictive value of a serological test depends on the prevalence of the virus and thus in the current situation where there is a recognized outbreak, patients who present with recent compatible symptoms and test positive by these tests are likely to have had exposure to SARS-CoV-2. Serological assays have the advantage in terms of lower set-up costs, capacity for large volume processing, shorter turnaround times, are less prone to specimen sampling quality issues, require lower specific technical skills14, have no risk of specimen contamination, involve handling of lower biohazard risk specimen and expose healthcare workers to lower risk during sampling from patients compared to molecular methods. In conclusion, we provided proof of concept that the available SARS-CoV antibody assays can...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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sciscore

URL

doi.org/10.1101/2020.03.17.20034454
doi.org doi.org

https://doi.org/10.1101/2020.03.19.20039354

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.19.20039354: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">ResNet was composed of a number of residual blocks, the shortcut connections element-wisely combined the input features with the output of the same block.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>ResNet</div><div>suggested: (RESNET, RRID:SCR_002121)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.19.20039354
doi.org doi.org

https://doi.org/10.1101/2020.03.22.20034041

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.22.20034041: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">Consent: All patients signed informed consent form.<br>IRB: The Ethics Committee of the hospital approved the study.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">Inclusion Criteria: Chinese adult (18-75 years old in both genders) pneumonia patients with SARS-COV-2 infection confirmed to be positive by RT-PCR; demonstrated respiratory symptoms and imaging-confirmed pneumonia as defined in China National Standards; naïve patients were newly diagnosed patients who never received any antiviral treatments and danoprevir/ritonavir treatment were initiated within 7 days or less from the diagnosis; experienced patients might receive antiviral therapies with dosage and treatment duration recommended by China National Standards [14]; women and their partners with no planned pregnancy for 6 months after the study and willing to take effective contraceptive measures within 30 days from the first administration of the study drugs; patients agreed that they would not participate in other clinical trials within 30 days from the last administration of the study drugs; patients were willing to sign informed consent form.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: We found the following clinical trial numbers in your paper:<br><table><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Identifier</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Status</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Title</td></tr><tr><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">NCT04291729</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Completed</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Evaluation of Ganovo （Danoprevir ） Combined With Ritonavir i…</td></tr></table>
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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URL

doi.org/10.1101/2020.03.22.20034041
doi.org doi.org

https://doi.org/10.1101/2020.03.22.20034504

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.22.20034504: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">Consent: All the study participants were provided with written informed consent.<br>IRB: This project was approved by the Ethics Committee of the Naval Military Medical University.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Limitations of the current study included the use of a health example and the fact that we used online survey in data collection. Only a few subjects were confirmed or suspected COVID-19 patients in our study. And the mean levels of sleep quality and PTSS were in the moderate range. For those being infected with COVID-19, sleep and metal health problems might be far more severe. Considering the risk of infection, we used online survey to investigate relationship among Wuhan exposure history, sleep and PTSS. However, it was hard to guarantee authenticity with this method and the validity was limited. We suggested that future studies could exam PTSD and related factors among COVID-19 survivors with face-to-face investigation or interview.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.03.22.20034504
doi.org doi.org

https://doi.org/10.1101/2020.03.21.20040121

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.21.20040121: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IACUC: This study was approved by the Wuhan No.1 Hospital institutional ethics committee.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Statistical analyses were done using the SPSS software (version 19).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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URL

doi.org/10.1101/2020.03.21.20040121
doi.org doi.org

https://doi.org/10.1101/2020.03.22.20040774

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.22.20040774: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: This study was approved by the ethics board in Zhongnan Hospital of Wuhan University, Wuhan, China (No.2020011).</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The data were imported and analyzed using R language, implemented in RStudio [24, 25].</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>RStudio</div><div>suggested: (RStudio, RRID:SCR_000432)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Package survival, survminer, ranger and ggplot2 were employed for survival analysis, modelling and visualization separately [26-30].</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>ggplot2</div><div>suggested: (ggplot2, RRID:SCR_014601)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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URL

doi.org/10.1101/2020.03.22.20040774
doi.org doi.org

https://doi.org/10.1101/2020.03.22.20040600

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.22.20040600: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">For each protein class (i.e. ORF1ab, S, M, E, N), all 34 coronavirus sequences were aligned using the Clustal Omega</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Clustal Omega</div><div>suggested: (Clustal Omega, RRID:SCR_001591)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Conserved peptide assessment: Aligned sequences were imported into Jalview v.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Jalview</div><div>suggested: (Jalview, RRID:SCR_006459)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Peptide-MHC class I binding affinity predictions: FASTA-formatted input protein sequences from the entire SARS-CoV-2 and SARS-CoV proteomes were obtained from NCBI RefSeq database (67) under accession numbers NC_045512.2 and NC_004718.3.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>RefSeq</div><div>suggested: (RefSeq, RRID:SCR_003496)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">For the SARS-CoV and SARS-CoV-2 specific distribution of per-allele proteome presentation, we exclude all peptides-allele pairs with >500nM predicted binding.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SARS-CoV-2</div><div>suggested: (Active Motif Cat# 91351, RRID:AB_2847848)</div></div></td></tr></table>
  Results from OddPub: Thank you for sharing your code and data.
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  We note, however, several limitations to this our work. First and foremost, while we note that a handful of our binding affinity predictions were borne out in experimentally validated SARS-CoV peptides (Supplementary Table S4), we acknowledge that this is an entirely in silico study. As we are unable to obtain individual-level HLA typing and clinical outcomes data for any real-world COVID-19 populations at this time, the data presented is theoretical in nature, and subject to many of the same limitations implicit to the MHC binding affinity prediction tool(s) upon which it is based. As such, we are unable to assess the relative importance of HLA type compared to known disease-modifying risk factors such as age and clinical comorbidities (5–10). We further note that peptide-MHC binding affinity is limited as a predictor of subsequent T-cell responses (54–56), and we do not study T-cell responses herein. As such, we are ill-equipped to explore phenomena such as original antigenic sin (57–59), where prior exposure to closely related infection(s) may trigger T-cell anergy (60–62) or immunopathogenesis (63) in the setting of a novel infection. We explored only a limited set of 145 well-studied HLA alleles, but note that this analysis could be performed across a wider diversity of genotypes (49). Additionally, we did not assess genotypic heterogeneity or in vivo evolution of SARS-CoV-2, which could modify the repertoire of viral epitopes presented, or otherwise modulate virulence i...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.22.20040600
doi.org doi.org

https://doi.org/10.1101/2020.03.24.20027730

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.24.20027730: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  The new EEI we proposed avoids these limitations and is more intuitive and reliable with only officially released data. The EEI aims to monitor and evaluate the epidemic in time, not to make predictions. It adopts another idea to provide timely decision support for epidemic prevention strategies. Regarding the COVID-19 epidemic situation, it can be concluded that whether in Hubei Province or throughout the country, the trend has entered a period of decline due to many measures taken in time. In 2003, public health measures including individual isolation, quarantine, social distancing and community containment once played decisive roles in controlling the SARS epidemic(Wilder-Smith and Freedman 2020). During the COVID-19 epidemic, the Chinese government learned lessons from the experience of SARS epidemic and adopted emergency measures related to population prevention and clinical treatment after the outbreak. Compared with the prevention and control of previous SARS epidemic, significant progress has been made during the COVID-19 epidemic (Guan and Xian 2020). On January 20, 43 days after the first unexplained pneumonia case occurred, traffic control was implemented in Wuhan. 3 days later, on January 23, Wuhan city was closed. 2 days later, on January 25, all provinces in China except Tibet triggered a level 1 public health emergency response. As can be seen from figure 2A, 2B, 3A and 3B, the peak of daily new laboratory-confirmed cases in mainland China and Hubei province we...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.24.20027730
doi.org doi.org

https://doi.org/10.1101/2020.03.24.20042556

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.24.20042556: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: This study was reviewed and approved by the institutional review board at the University of Michigan Medical School.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.24.20042556
doi.org doi.org

https://doi.org/10.1101/2020.03.24.20042762

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.24.20042762: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  The main limitation of this model is the fact that most of the inputs are based on estimates. The epidemiology of COVID-19 is critically important, and ongoing research will update the model. The model is very sensitive to specific aspects of the epidemiology, especially doubling time. The model environment can be easily updated with new parameter data to generate a more precise projection.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.24.20042762
doi.org doi.org

https://doi.org/10.1101/2020.03.23.20041913

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.23.20041913: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: The study was reviewed by the Ethics Committee Brabant, the Netherlands (METC Brabant/20.134/NW2020-26).<br>Consent: The study was judged to be beyond the scope of the Medical Research Involving Human Subjects Act and a waiver of written informed consent was granted.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">Study design: A cross-sectional study with short-term follow-up was conducted in two teaching hospitals (700-bed Amphia Hospital, Breda, the Netherlands; 800-bed Elisabeth-TweeSteden Hospital, Tilburg, the Netherlands), employing 9,705 HCWs, 18% of whom are male (Figure 1).</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">All analyses were performed with SPSS version 25.0 (IBM, Armonk, NY, USA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  A limitation of our evaluation is that screening of HCWs was based on the presence of fever or mild respiratory symptoms in the last ten days, and that no data were collected in HCWs without these symptoms. The sensitivity and specificity of the reported symptoms could therefore not be estimated. In conclusion, during the containment phase and within two weeks after the first Dutch case was detected, a substantial proportion of HCWs with fever or respiratory symptoms were infected with SARS-CoV-2, probably caused by acquisition of the virus in the community during the early phase of local spread. This observation confirms the insidious nature of SARS-CoV-2 spread, given the high prevalence of mild clinical presentations that may go undetected.8 The spectrum of relatively mild symptoms present in HCWs with COVID-19, frequently not including fever, asks for less stringent use of the currently recommended case-definition for suspected COVID-19.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a protocol registration statement.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.23.20041913
doi.org doi.org

https://doi.org/10.1101/2020.03.23.20040493

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.23.20040493: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">In silico experiments for possible anti-SARS-CoV-2 therapies: By utilising our novel mathematical model and the estimated parameter values, we investigated the antiviral effects of unlicensed but developing (promising) drugs with the following different mechanisms of action, depending on inhibition rates and timings of therapy initiation: (i) blocking de novo infection (e.g. via human neutralising antibodies, viral entry-inhibitors and antibody levels raised by vaccination (13, 14)); (ii) blocking virus production (such as lopinavir/ritonavir (HIV protease inhibitors), remdesivir (an anti-Ebola virus candidate) and other nucleoside analogues, and interferon (15, 16)); and (iii) promoting cytotoxicity (by adaptive immunity such as cytotoxic T lymphocytes).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-Ebola virus candidate</div><div>suggested: None</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.23.20040493
doi.org doi.org

https://doi.org/10.1101/2020.03.25.20042713

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.25.20042713: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: Thank you for sharing your code and data.
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.25.20042713
doi.org doi.org

https://doi.org/10.1101/2020.03.24.20042119

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.24.20042119: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: This study was approved by the ethics committee of Wuhan Central Hospital.<br>Consent: As the study is a retrospective study and does not involve patients’ privacy, the informed consent can be exempted Data collection: Chronic comorbidities, demographic data, laboratory examinations, and chest CT scans were reviewed using electronic medical records.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">Internal validation: Patients were randomly assigned in a 2:1 fashion to undergo training and hold-out test sets.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">We used the Statistical Package for the Social Sciences, version 22.0 (IBM Corp., Armonk, NY, USA) for statistical analysis.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Statistical Package for the Social Sciences</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr></table>
  Results from OddPub: Thank you for sharing your data.
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Importantly, our study has limitations. First, laboratory testing methods may not be the same in every hospital and the optimal cutoff point for the product value may vary. Further, only 377 patients were included in this study, where the product of N/L*CRP*D-dimer was found for the first time, so larger-scale data from randomized trials are needed to estimate whether to use this predictor in clinical practice.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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URL

doi.org/10.1101/2020.03.24.20042119
doi.org doi.org

https://doi.org/10.1101/2020.03.25.20043570

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.25.20043570: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">Consent: The written informed consent was waived by our institutional review board because this was a retrospective study for emerging infectious disease..<br>IRB: The written informed consent was waived by our institutional review board because this was a retrospective study for emerging infectious disease..</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">IBM Statistical Package for the Social Sciences (SPSS, version 22.0, NY, USA) software was used for statistical analysis, and P <0.05 was considered statistically significant.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Statistical Package for the Social Sciences</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Some limitations of the study should be discussed. Because of our single-center retrospective design and small sample size, the results might be inconclusive, and the accuracy should be confirmed by large-scale clinical prospective studies. Moreover, because the study was not based on pathophysiological models, the results were hypothesis generating, the exact mechanisms of AGI in COVID-19 should be tested by more basic experiments. In addition, patients were sometimes transferred late in their illness to our hospital. Lack of effective antivirals and inadequate adherence to standard supportive therapy might have contributed to the poor clinical outcomes in some patients.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.25.20043570
doi.org doi.org

https://doi.org/10.1101/2020.03.22.20040071

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.22.20040071: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: This study was approved by the Ethics Committee of the hospital.<br>Consent: All subjects signed informed consent forms at admission to hospital.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Statistical methods: In this study, GraphPad 6.0 software was used for data statistics and mapping.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.22.20040071
doi.org doi.org

https://doi.org/10.1101/2020.03.24.20042424

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.24.20042424: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.03.24.20042424
doi.org doi.org

https://doi.org/10.1101/2020.03.21.20040261

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.21.20040261: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Literature curation: Relevant scientific literature related to key COVID-19 morbidities was retrieved from PubMed.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>PubMed</div><div>suggested: (PubMed, RRID:SCR_004846)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Gene IDs were converted to gene symbols using the biomaRt R package [16, 17], and disease IDs were converted to disease MeSH terms using the Entrez Programming Utilities to query the Entrez database provided by the National Center for Biotechnology Information.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Entrez</div><div>suggested: (Entrez, RRID:SCR_016640)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The data was then further filtered to retain disease MeSH terms relevant to reported clinical COVID-19 comorbidities [3].</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>MeSH</div><div>suggested: (MeSH, RRID:SCR_004750)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The final gene-disease data set was used to generate a network utilizing Gephi software where the nodes were genes and diseases, and the edge weight was determined by the number of analyzed papers containing the gene-disease combination [18].</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Gephi</div><div>suggested: (Gephi, RRID:SCR_004293)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Meta-Analysis: We manually curated Gene Expression Omnibus (GEO) repository (https://www.ncbi.nlm.nih.gov/geo/) to find lung and blood transcriptome datasets related to “Pulmonary Arterial Hypertension” (PAH), “Chronic Obstructive Pulmonary Disease” (COPD), “Severe Acute Respiratory Syndrome” (SARS), “H1N1 Influenza”, “Tuberculosis” and “Smoking”.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Gene Expression Omnibus</div><div>suggested: (Gene Expression Omnibus (GEO, RRID:SCR_005012)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Author-normalized expression values and metadata from these datasets were downloaded using the GEOquery package [19].</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GEOquery</div><div>suggested: (GEOquery, RRID:SCR_000146)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">We performed differential expression analyses between patients with a disease and the control individuals (see Table S1) using the limma package [20].</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>limma</div><div>suggested: (LIMMA, RRID:SCR_010943)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Meta-analysis was performed with the MetaVolcanoR package [22] by combining the p-values using Fisher’s method.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>MetaVolcanoR</div><div>suggested: (MetaVolcanoR, RRID:SCR_018549)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">For enrichment analyses, we utilized the EnrichR tool [23] with the “GO Biological Process 2018” and “BioPlanet 2019” databases.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>EnrichR</div><div>suggested: (Enrichr, RRID:SCR_001575)</div></div><div style="margin-bottom:8px"><div>“GO Biological</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The network was created in Cytoscape [24].</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Cytoscape</div><div>suggested: (Cytoscape, RRID:SCR_003032)</div></div></td></tr></table>
  Results from OddPub: Thank you for sharing your data.
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

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doi.org/10.1101/2020.03.21.20040261
doi.org doi.org

https://doi.org/10.1101/2020.03.20.20039495

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.20.20039495: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: Patients and samples: The Institutional Ethics Review Committee of Foshan Fourth Hospital, Foshan, China approved this study, and written informed consent was obtained from each patient.<br>Consent: Patients and samples: The Institutional Ethics Review Committee of Foshan Fourth Hospital, Foshan, China approved this study, and written informed consent was obtained from each patient.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The purified proteins were analyzed by SDS-PAGE followed by Western blotting using an anti-His antibody (Merck millipore, USA) and Coomassie brilliant blue staining.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-His</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Protein microarray fabrication: The proteins, along with negative (BSA) and positive controls (anti-Human IgG and IgM antibody), were printed in quadruplicate on PATH substrate slide (Grace Bio-Labs, Oregon, USA) to generate identical arrays in a 2 × 7 subarray format using Super Marathon printer (Arrayjet, UK)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>IgM</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The arrays were washed with PBST and bound autoantibodies were detected by incubating with Cy3-conjugated goat anti-human IgG and Alexa Fluor 647-conjugated donkey anti-human IgM (Jackson ImmunoResearch, PA, USA), the antibodies were diluted 1: 1,000 in PBST, and incubated at room temperature for 1 h.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-human IgG</div><div>suggested: (Bio-Rad Cat# MCA647F, RRID:AB_808612)</div></div><div style="margin-bottom:8px"><div>anti-human IgM</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Pearson correlation coefficient between two proteins or indicators and the corresponding p value was calculated by SPSS software under the default parameters.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Cluster analysis was performed by pheatmap package in R30.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>pheatmap</div><div>suggested: (pheatmap, RRID:SCR_016418)</div></div></td></tr></table>
  Results from OddPub: Thank you for sharing your data.
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  There are some limitations of the current SARS-CoV-2 proteome microarray. Firstly, due to the difficulty of protein expression and purification, there are still 10 proteins missing3. We will try to obtain these proteins through vigorous optimization or other sources, interesting finding is anticipated in the near future for these missing proteins. Secondly, most of the proteins on the microarray are not expressed in mammalian cells, critical post-translational modifications, such as glycosylation is absent. It is known that there are 23 N-glycosylation sites on S protein, which is heavily glycosylated, and the glycosylation may play critical roles in antibody-antigen recognition5,41. We are preparing these proteins using mammalian cell systems. Once the microarray is upgraded with proteins purified from mammalian cells, PTM specific IgG/IgM response may could be elicited. Thirdly, only 29 samples at collected at a single time point were analyzed. Though there are some interesting findings, we believe some of the current conclusions could be strengthened by including more samples. Furthermore, longitudinal samples29,42 collected at different time points from the same individual after diagnosis or even after cured may enable us to reveal the dynamics of the SARS-CoV-2 specific IgG/IgM responses. The data may could be further linked to the severity of COVID-19 among different patients. The application of the SARS-CoV-2 proteome microarray is not limited to serum profiling. It co...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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sciscore

URL

doi.org/10.1101/2020.03.20.20039495
doi.org doi.org

https://doi.org/10.1101/2020.03.23.20039362

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.23.20039362: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">Consent: A written informed consent was regularly obtained from all patients.<br>IRB: The study was approved by the Ethics Committee of Wuhan Hankou Hospital,</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">The 10 patients consisted of five males and five females and ranged from ages 40 to 70 years old, with a median of 50 years old.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Experimental Models: Cell Lines</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The genes used in PCA analysis have eliminated mitochondria (MT), and ribosomes (RPL and RPS) genes including MT-ND3, MT-ATP8, RPS15A, RPS28, RPS21, RPS27, RPS29, RPL36, RPL34,</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>MT-ND3</div><div>suggested: ECACC Cat# 92090901, RRID:CVCL_4258)</div></div><div style="margin-bottom:8px"><div>MT-ATP8</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The FastQC software was used for quality check.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>FastQC</div><div>suggested: (FastQC, RRID:SCR_014583)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">), KEGG pathway analyses were performed using Metascape webtool (www.metascape.org).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>KEGG</div><div>suggested: (KEGG, RRID:SCR_012773)</div></div><div style="margin-bottom:8px"><div>Metascape</div><div>suggested: (Metascape, RRID:SCR_016620)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.03.23.20039362
doi.org doi.org

https://doi.org/10.1101/2020.03.24.20042234

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.24.20042234: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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sciscore

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doi.org/10.1101/2020.03.24.20042234
doi.org doi.org

https://doi.org/10.1101/2020.03.22.20040964

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.22.20040964: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: We found the following clinical trial numbers in your paper:<br><table><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Identifier</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Status</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Title</td></tr><tr><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">NCT04323527</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Completed</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Chloroquine Diphosphate for the Treatment of Severe Acute Re…</td></tr><tr><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">NCT04261517</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Completed</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Efficacy and Safety of Hydroxychloroquine for Treatment of C…</td></tr><tr><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">NCT04303507</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Recruiting</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Chloroquine/ Hydroxychloroquine Prevention of Coronavirus Di…</td></tr><tr><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">NCT04326725</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Active, not recruiting</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Proflaxis Using Hydroxychloroquine Plus Vitamins-Zinc During…</td></tr></table>
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.22.20040964
doi.org doi.org

https://doi.org/10.1101/2020.03.23.20041590

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.23.20041590: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.23.20041590
doi.org doi.org

https://doi.org/10.1101/2020.03.22.20041145

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.22.20041145: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The remaining sequences were aligned to the consensus using MUSCLE [20] and trimmed to the same length, yielding n=319 aligned sequences of length 29772 base pairs (bp).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>MUSCLE</div><div>suggested: (MUSCLE, RRID:SCR_011812)</div></div></td></tr></table>
  Results from OddPub: Thank you for sharing your code.
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Furthermore, the analysis is subject to the limitations associated with the nature of genomic data that include a small amount of cases in the beginning of the epidemics, underreporting and potential multiple sources of epidemic introductions. Further, the dataset available for this analysis is a convenience sample rather than a random sample within infected individuals, which results from the aggregation of data from different countries and sequencing labs and instruments. This is an inevitable consequence of sequencing data analysis since the procedure itself can be relatively expensive when implemented on a large scale [57, 55, 45], and the decision to sequence each particular case is largely done subjectively in each specific country and lab. In response to the rapidly growing number of cases of COVID-19 the authorities in different countries around the world have implemented unprecedentedly stringent travel and movement restrictions. Those measures were taken separately and independently country by country with different levels of escalation and at different times. In this context it is important to emphasize the importance of globally coordinated measures and collaborations that should be supported by timely and evidence-supported analysis of reliable epidemiological data of diverse nature. Automatic high-performance computing-based molecular near real-time surveillance systems such as Nextstrain [28], HIV-Trace [36] and GHOST [40] could be instrumental in such public h...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.22.20041145
doi.org doi.org

https://doi.org/10.1101/2020.03.23.20041517

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.23.20041517: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: Thank you for sharing your code and data.
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.23.20041517
doi.org doi.org

https://doi.org/10.1101/2020.03.22.20041061

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.22.20041061: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: The Institutional Review Board of Huazhong University of Science and Technology approved this study (#TJ-IRB20200222).<br>Consent: All pregnant women gave informed consent to participate in this study.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">From January 1 to February 20, 2020, all consecutive pregnant women with Covid-19 in five hospitals were enrolled.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">All statistical analyses were performed using SAS 9.4 (SAS Institute, Cary, NC).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SAS Institute</div><div>suggested: (Statistical Analysis System, RRID:SCR_008567)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.22.20041061
doi.org doi.org

https://doi.org/10.1101/2020.03.22.20040923

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.22.20040923: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">2 25 UCCs, defined as walk-in clinics in ambulatory medical facilities, were randomly selected and called from each state using the Urgent Care Association “Find an Urgent Care” directory.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  This report has limitations. The small number of UCCs contacted per state may not accurately represent the state’s urgent care climate. Additionally, the rapidly changing nature of the COVID-19 pandemic may affect these findings. However, this study serves as an important snapshot that highlights the limited COVID-19 testing capabilities at UCCs in the most heavily burdened states.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.22.20040923
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https://doi.org/10.1101/2020.03.23.20040279

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.23.20040279: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: Ethical considerations: This study was reviewed by the ethics committee of Renmin Hospital of Wuhan University (Ethics Approval No.: WDRY2020-K033) and written informed consent from patients was waived.<br>Consent: Only verbal explanation was required, and verbal informed consent was obtained from the patients.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Data analysis: SPSS 26.0 software was used for statistical analysis.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.23.20040279
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https://doi.org/10.1101/2020.03.26.20044164

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.26.20044164: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">CORD-19 contains all research about COVID-19, SARS-CoV-2, and other CoVs (e.g. SARS, MERS, etc.) up to March 20, 2020, including over 44,000 scholarly articles, from the following sources: 1) PubMed’s PMC open access corpus; 2) a corpus maintained by the WHO; and 3) bioRxiv and medRxiv pre-prints.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>bioRxiv</div><div>suggested: (bioRxiv, RRID:SCR_003933)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">LDA modeling is performed and visualized on the entire corpus via the Python language.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Python</div><div>suggested: (IPython, RRID:SCR_001658)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  This present work has several limitations that must be acknowledged to apprehend the findings. First, as a computer model, topic modeling has difficulties with understanding nuances and subtext. We identified eight major topics with frequent appearances, whereas some specific topics such as virus natural history and human-animal interface were buried due to low proportions. Future work will attempt to develop an approach to detect and visualize the conceptual sub-domains. Second, it is also necessary to be aware that the granularity of terms used to label topics may vary a little for different topics. We have tried our best to keep them at the same level through carefully curating the top words in each topic, as well as reviewing text intention of the corresponding publications. Third, the LDA model only provides a cross-sectional profile of the coronavirus research, which is methodologically different from academic disciplines such as evidence-based medicine and clinical assessment that synthesizing evidence centered on a specific question. But this study may facilitate these disciplines by informing what is already available and what is urgently required for the COVID-19 research. Future research could also study the occurrence of topics over time and analyze links to historic events and virus characteristics, in order to better understand possible temporal patterns. Notwithstanding its limitations, this work is the first to thoroughly assess research output of coronavirus ...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.26.20044164
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https://doi.org/10.1101/2020.03.26.20044081

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.26.20044081: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">A function for fitting the logarithm of the reported figures of total infection rates is defined by
  
  For the fit of equation (1) to the data points, the standard solver in Microsoft Excel 2016 was applied to the logarithm of the number N(t) of confirmed infections as taken in steps of one day from the website [1], and the least squares error with respect to equation (1) was minimized by varying the three parameters ln(N(t = 0)), ln(N(t → ∞)), and τ.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Microsoft Excel</div><div>suggested: (Microsoft Excel, RRID:SCR_016137)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.26.20044081
doi.org doi.org

https://doi.org/10.1101/2020.03.28.20046086

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.28.20046086: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: Ethical approval: This project was not applicable for institutional review board approval because it used publicly accessible information and data. 2.2.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Data as extracted and tabulated in Excel 2010 Microsoft and make data analysis.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Excel</div><div>suggested: None</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  To reduce morbidity and mortality, the Chinese government has adopted non-drug intervention measures, namely, social isolation, medical observation, contact limitation, self-protection, the combination of these traditional and modern public health intervention measures, the course of the epidemic, and the epidemic curve. As the WHO leader Bruce Aylward said at the COVID-19 news conference of February 24 in Beijing[4]: “This is one of the biggest successes of China’s response to the outbreak. The past month, for example, there were more than 1,800 epidemiological investigation teams in Wuhan, with at least 5 persons in each group, tracking thousands of close contacts every day. It is through painstaking efforts that the vast majority of identified close contacts were tracked down and their health monitored. These remarkable results have not come easily because of the epidemiology of these curves. Behind it in every line is an important policy decision for China’s leaders to guide the public to conform to these great decisions, which was not easy.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.28.20046086
doi.org doi.org

https://doi.org/10.1101/2020.03.26.20044511

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.26.20044511: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: Thank you for sharing your code and data.
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.26.20044511
doi.org doi.org

https://doi.org/10.1101/2020.03.25.20043927

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.25.20043927: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  As a caveat, changes in ACE2 levels in serum or urine may not reflect changes in tissue. 5) Epidemiological studies are largely unavailable in matched groups of patients infected with SARS-CoV-2, who have or have not been taking ACEIs/ARBs. One preliminary study, 50 examined 28 patients with severe COVID-19 and 18 patients with mild disease, all of whom also had hypertension. ARB use was associated with a reduction in risk of severe COVID-19 disease, morbidity and mortality, a result that contradicts the hypothesis that ARB/ACEI use is harmful. However, only small numbers of patients have been assessed. Based on the data summarized above, we conclude that current evidence, especially from human studies (Table 3), does not support the idea that treatment with ACEIs or ARBS produces pathophysiologically relevant increases in ACE2 protein abundance. The hypothesis that the use of these drugs increases SARS-CoV-2 virus infectivity and/or severity of COVID-19 is therefore not supported by the available evidence. It would thus seem prudent for patients to continue receiving these medications, as recently recommended by multiple health associations2 and other publications 51.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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URL

doi.org/10.1101/2020.03.25.20043927
doi.org doi.org

https://doi.org/10.1101/2020.03.29.20045039

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.29.20045039: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The construction of the diagram for the model of the COVID-9 epidemics used the open access CellDesigner software (v4.4; Systems Biology Institute, http://celldesigner.org/index.html).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>CellDesigner</div><div>suggested: (CellDesigner: A modeling tool of biochemical networks, RRID:SCR_007263)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The network diagram was translated into a dynamic model using the open access software called COPASI (www.copasi.org) [2].</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>COPASI</div><div>suggested: (COPASI, RRID:SCR_014260)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.29.20045039
doi.org doi.org

https://doi.org/10.1101/2020.03.25.20043315

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.25.20043315: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: The virus name was updated from “2019-nCoV” to “SARS-CoV-2” by the International Committee on Taxonomy of Viruses on 11 February 2020, [16] yet we performed the search using the term “nCoV” since we presumed that no paper published between 11 February 2020 and 13 February 2020 would have used the term “SARS-COV-2”.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Electronic searches: We searched MEDLINE (PubMed) electronic database in order to find all relevant studies.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>MEDLINE</div><div>suggested: (MEDLINE, RRID:SCR_002185)</div></div><div style="margin-bottom:8px"><div>PubMed</div><div>suggested: (PubMed, RRID:SCR_004846)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Chi2 test was used in order to test for significant differences in the comparison of percentages, using the statistical software STATA 15 (StataCorp. 2017. Stata Statistical Software: Release 15.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>STATA</div><div>suggested: (Stata, RRID:SCR_012763)</div></div><div style="margin-bottom:8px"><div>StataCorp</div><div>suggested: (Stata, RRID:SCR_012763)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  There are several limitations in our study. First, we based our research only on PubMed, that does not index all of the scientific impacted journals. It is strongly recommended to consult more than one relevant database when performing systematic reviews of the literature, [25] even though it has been reported that most of the high-quality articles, like those included in Cochrane Reviews, are indexed in PubMed. [26] In addition, we excluded all the publications not in English. We acknowledge that, given the outbreak started in China, this may have led to a partial selection bias. Nevertheless, papers excluded which were written in Chinese and had an English abstract, were for the greatest part reports of the Chinese Government (data not shown). We considered only the articles published until 13 February 2020, and taking into account that literature is now changing day-by-day for this topic, extending the bibliometric research for the next months would be of paramount importance. In conclusion, as far as we know, our very early review is the first bibliometric study analyzing the early scientific research output about COVID-19 from a quantitative and descriptive standpoint. Due to the huge amount of interest and concern related to this outbreak, our analysis shows that the scientific publication has been very reactive but still preliminar, with an expected deficit of original data and an excess of editorials and commentaries. Further research is needed to review and synthesiz...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.25.20043315
doi.org doi.org

https://doi.org/10.1101/2020.03.26.20044750

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.26.20044750: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: Thank you for sharing your code and data.
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  While our model is driven by virological data and calibrated to several outbreaks, a few limitations are inherent in our approach. First, the effect of any policy depends on the context where it would be applied. The details of the school or institution would matter, and therefore, we provide an online version of the model, which can be calibrated for multiple situations. It may be possible to apply our findings to school-like contexts such as workplaces, prisons, or even the broader community, but such settings have significant features that may confound our findings. Lastly, symptom parameter information is based on average values for the population and it is expected that inter-individual and demographic variability might have some effect on outcomes. Future studies should attempt to evaluate isolation policies with agent-based models (e.g. 15,46) that can capture inter-individual variability in health trajectories and the network structure of the population47,48. Despite these limitations, our model captures essential aspects of acute respiratory outbreaks including progression through stages, the population structure and symptom trajectories. In conclusion, in this study we have created a model of transmission of respiratory infection and considered the effects of two isolation policies. We confirmed that symptom-based policies would be effective in controlling influenza in a variety of scenarios. Furthermore for influenza outbreaks, we recommend that isolation is mainta...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.26.20044750
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https://doi.org/10.1101/2020.03.26.20044420

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.26.20044420: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Our study has a number of important limitations. First, as is true in any empirical study of disease, we can only observe cases that are confirmed. It is very likely that confirmed cases of COVID-19 fall far below actual rates of infection,24 thus suggesting that our findings may represent an under-estimate of the magnitude of the link between infection and local climatic conditions. Relatedly, countries around the world have invested very differently in testing capacity, making such under-reporting heterogeneous across space and time. However, our empirical model is designed to purge estimates of the influence of such differential testing by using a rich set of semi-parametric controls, including fixed effects that vary across both space and time. Second, the estimates we show represent average treatment effects across countries and time periods in our sample. It is possible that the effect of temperature on case rates varies across different policy regimes, such as social distancing and the closure of public transportation systems. While such heterogeneity is an important area for future research, it is important to note that our model, by construction, captures many sources of such heterogeneity through its log-linear form. While we find that temperature has a consistent −13% per 1°C effect on the rate of new cases in a given population, this translates into very different levels of cases in different locations. If public health policies successfully lower baseline COVID-1...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.26.20044420
doi.org doi.org

https://doi.org/10.1101/2020.03.25.20043331

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.25.20043331: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">The dataset was randomly split into training and test dataset containing 70% and 30% of the total samples respectively.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Machine Learning Algorithm and Statistical Analysis: Random Forest classification algorithm (4) was implemented over a dataset with 37 deaths and 78 recoveries using the randomForest package in R.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>randomForest</div><div>suggested: (RandomForest Package in R, RRID:SCR_015718)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.25.20043331
doi.org doi.org

https://doi.org/10.1101/2020.03.28.20045955

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.28.20045955: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: Patients were considered the ‘mild’ group (mild/moderate), whereas those were considered the ‘severe’ group (severe/critical); these classifications were according to the criteria stated in the COVID-19 Diagnosis and Treatment Plan issued by the National Health Commission of the People’s Republic of China.2 The study was reviewed and approved by the Ethics Committee of Shenyang Chest Hospital (approval number: KYXM-2020-001-01) and was also documented by the Ethics Committee of the Shenyang Sixth People’s Hospital.<br>Consent: Written informed consent forms were waived owing to the rapid development of the infectious COVID-19 disease.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Our study had some limitations given its single-center, retrospective, and observational nature. Owing to its small sample size, only descriptive data were available, and no statistical analyses were performed. Hence, randomized, double-blind, and controlled trials remain necessary for more accurate conclusions. Nevertheless, our data ought to provide helpful preliminary information at this stage of the COVID-19 pandemic.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.28.20045955
doi.org doi.org

https://doi.org/10.1101/2020.03.28.20046110

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.28.20046110: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.28.20046110
doi.org doi.org

https://doi.org/10.1101/2020.03.24.20042689

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.24.20042689: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The concentration reported by GeneCount has the unit of copies of template per microliter of the final 1× dPCR reaction, which was also reported and used in all the subsequent analysis.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GeneCount</div><div>suggested: None</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.24.20042689
doi.org doi.org

Deep Learning-Based Recognizing COVID-19 and other Common Infectious Diseases of the Lung by Chest CT Scan Images

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.28.20046045: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: This study was approved by the Ethics Commission of Zhongshan Hospital Xiamen University.<br>Consent: Written informed consent was waived by the Ethics Commission of the designated hospital because of non-interventional study and no identifiable personal information was recorded.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">Datasets: Lung CT scan images collected from Department of radiology, Wuhan Jin Yin-Tan Hospital were randomly divided into training set or validation set at a ratio of 3:1.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Training and validation the algorithm: Based on deep learning, we used the PyTorch platform to adopt the ResNet-50 architecture pretrained using the ImageNet dataset(7) to develop our AI algorithm.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>ImageNet</div><div>suggested: (VGG-16, RRID:SCR_016494)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  The limitation is that our AI framework will need further evaluation by more wide clinical application.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.28.20046045
doi.org doi.org

https://doi.org/10.1101/2020.03.27.20045302

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.27.20045302: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.27.20045302
doi.org doi.org

https://doi.org/10.1101/2020.03.26.20041426

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.26.20041426: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: This study was approved by the Ethics Committee of Yichang Central people’s hospital.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Then the data was inputted and analyzed by SPSS 19.0 software.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.26.20041426
doi.org doi.org

https://doi.org/10.1101/2020.03.26.20044883

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.26.20044883: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: This study was approved by the Ethics Commission of General Hospital of Central Theatre Command.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">SARS-CoV-2 IgG/IgM antibody detection: The SARS-CoV-2 IgG/IgM antibody test kit is manufactured by a Chinese biotechnology company and has been cleared by China Food and Drug Administration.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SARS-CoV-2 IgG/IgM</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Data analysis: SPSS 20.0 was used for statistical analysis All tests were bilateral, and p less than 0.05 was considered statistically significant.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  However, some limitations also should be pointed out. First, due to the limited time, diagnostic indexes were only evaluated in serum, but not other blood sample types, such as fingertip blood and plasma. Second, small sample size should also be taken into consideration.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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sciscore

URL

doi.org/10.1101/2020.03.26.20044883
doi.org doi.org

https://doi.org/10.1101/2020.03.29.20046730

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.29.20046730: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: Thank you for sharing your code and data.
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.03.29.20046730
doi.org doi.org

https://doi.org/10.1101/2020.03.27.20045625

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.27.20045625: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a protocol registration statement.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.03.27.20045625
doi.org doi.org

https://doi.org/10.1101/2020.03.27.20045849

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.27.20045849: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.03.27.20045849
doi.org doi.org

https://doi.org/10.1101/2020.03.28.20040097

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.28.20040097: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: The study has been reviewed and approved by the Medical Ethical Committees of Xiaoshan First people’s Hospital (Approval NO: 2020-02).<br>Consent: Written informed consent were waived because of the urgent need to collect clinical data on this emerging disease and entirely anonymized data therefore the individual identity cannot be identified.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">All analyses were conducted with IBM SPSS statistics software, version 26.0.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.03.28.20040097
doi.org doi.org

https://doi.org/10.1101/2020.03.27.20045153

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.27.20045153: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">Consent: Verbal Informed consent was obtained from all individual participants.<br>IRB: Ethical statement: The internal use of collected samples for diagnoses of etiological agents and serological research was approved by the Ethical Committee in the third people’s hospital of Shenzhen (SZTHEC2016001).</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">COVID-19 patients were randomly enrolled from the third people’s hospital of Shenzhen, and their SARS-CoV-2 infections were confirmed by combinations of epidemiological risk, clinical features and positive detections of SARS-CoV-2 RNA in respiratory specimens using the National Medical Production Administration authorized GeneoDX kit according to the official instruction for diagnosis and treatment of 2019 novel coronavirus infections issued by the National Health Commission of the People’s Republic of China.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Detections of IgG and IgM by a commercial ELISA kit: In parallel testing, the commercial enzyme-linked immunosorbent assay kit (Darui Biotech, CHINA) for detections of the anti-SARS-CoV-2 IgG and IgM antibody was used to measure the SARS-CoV-2 antibody level in above mentioned COVID-19 patients and control individuals.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-SARS-CoV-2 IgG</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>IgM</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">For the principle of this ELISA kit, the specific SARS-CoV-2 nucleocapsid protein and anti-human IgM monoclonal antibody were firstly coated on the plates, respectively.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-human IgM</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">After five times washing by PBST buffer, the horseradish peroxidase (HRP) labeled mouse anti-human IgG antibody or HRP-labeled SARS-CoV-2 nucleocapsid antigen was added for 30 minutes incubation at 37 °C.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-human IgG</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Statistical analysis: All statistical analysis was performed in GraphPad Prism 7 software.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad Prism</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.03.27.20045153
doi.org doi.org

https://doi.org/10.1101/2020.03.26.20043943

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.26.20043943: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: Ethics and Trial Registration: This study was reviewed and approved by the Medical Ethical Committee of Tongji Hospital of Huazhong University of Science and Technology (TJ-IRB20200214).<br>Consent: Oral informed consent was obtained from each enrolled patient.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">509 female patients (441 of Tongji Hospital and 68 of Cabin Hospital) were inquired by telephone follow-up with menstrual status and gynecologic history, 435 patients were finally included.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">All analyses were conducted with SPSS software version 19.0 and R software version 3.5.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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URL

doi.org/10.1101/2020.03.26.20043943
doi.org doi.org

https://doi.org/10.1101/2020.03.27.20043836

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.27.20043836: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: The study was approved by West China Hospital Ethics Committee (reference no.2020-190) and written informed consent was obtained from patients in People’s Hospital of Daofu county before enrolment.<br>Consent: The study was approved by West China Hospital Ethics Committee (reference no.2020-190) and written informed consent was obtained from patients in People’s Hospital of Daofu county before enrolment.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.27.20043836
doi.org doi.org

https://doi.org/10.1101/2020.03.26.20044222

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.26.20044222: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: This study was approved by the Ethics Committee of The Third People’s Hospital of Shenzhen (2020-115), which waived the requirement for written patient consent for this retrospective analysis.<br>Consent: All patients gave their oral consent to participate in this retrospective study.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">ELISA assay for anti-SARS-CoV-2 IgG and IgM antibody: Microtiter plates (Sangon Biotech) were coated overnight at 4°C with 4 μg/mL recombinant SARS-CoV-2-RBD (Receptor binding domain) proteins (50 μL per well) expressed by our laboratory through 293-T cells.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-SARS-CoV-2 IgG</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">After three washes, 100 μL of horseradish peroxidase (HRP)-conjugated goat anti-human IgG (for IgG antibody titer detection) and IgM (for IgM antibody titer detection) antibodies solution (Sangon Biotech) were added to each plate, respectively, and incubated at 37°C for 60 minutes.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-human IgG (for IgG</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>IgM</div><div>suggested: (Nicholas M. Kanaan at Michigan State University Cat# TOC1, RRID:AB_2832939)</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Statistical analysis: A statistical analysis was performed using SPSS 26.0 (IBM, Chicago).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  This study has several limitations. First, this study is a single-center retrospective study and the duration of follow-up is short, and more clinical observations are needed to evaluate the potential risk of SARS-CoV-2 recurrence and infection. Second, dynamics of SARS-CoV-2 RNA in COVID-19 patients need to be monitored and evaluated for RP patients. Second, additional studies should measure the dynamic changes of serum specific antibody levels in RP patients and evaluate the continuous protective effect of serum specific antibodies on patients with COVID-19. Finally, we should differentiate RP patients from relapse ones from convalescent subjects, for who two distinct prevention and control strategies will be adopted. Taken together, our findings revealed the clinical features of RP patients who did not show recurrence of clinical symptoms and abnormal laboratory tests. However, hyper-sensitive detection methods revealed the existence of SARS-CoV-2 RNA in RP patient specimens tested to be negative using the commercial kit. Therefore, it is necessary to develop a more accurate quantitative assessment of the RNA dynamics and additional discharge criteria to help physicians make a decision. This study provided valuable empirical information and clinical evidence support for effective management of COVID-19 patients during convalescent period. Further study should evaluate the potential clinical significance and transmission risk of RP patients.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.26.20044222
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https://doi.org/10.1101/2020.03.26.20044693

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.26.20044693: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.26.20044693
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https://doi.org/10.1101/2020.03.30.20045740

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.30.20045740: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: This study was approved by the Institutional Review Boards of The Hong Kong Polytechnic University(RSA20021) and the public hospitals involved(HKECREC-20200014;KCC/KEC-20200070;KWC-20200040;NTWC-20200038)</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Consensus genomes were constructed by GATK(v4.1.4.1) based on the VCF file(14).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GATK(v4.1.4.1</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Genomic and Phylogenetic analysis: To identify the amino acid change caused by each single-nucleotide polymorphism(SNP), consensus genome of each specimen was BLASTed against the reference NC_045512.2 using BlastX.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>BlastX</div><div>suggested: (BLASTX, RRID:SCR_001653)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Non-synonymous mutations were identified using custom Python script.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Python</div><div>suggested: (IPython, RRID:SCR_001658)</div></div></td></tr></table>
  Results from OddPub: Thank you for sharing your data.
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  There are several limitations in our study. Despite 53·8% of the cases reported in Hong Kong up to February 28 were included, another 43 cases including two fatal cases were not analysed in this study. Moreover, incubation period of cases with unknown source might vary widely. Studies have shown that incubation period can vary from 4.5-15.8 days,(24) and can be even longer for patients presenting with mild symptoms. However, as the patient might already be infectious during incubation period, resultant reproductive number in this study could still be underestimated. Moreover, current calculation was solely based on phylodynamic analysis which could be different from those based on epidemiological models. Finally, gap regions were observed in some consensus genomes. This is mainly because WGS was performed on respiratory specimens instead of viral culture. The paucity of viral load in specimens could affect the yield of sequencing libraries. Nevertheless, the uncovered area only accounted for approximately 1-3% of the entire viral genome while the remaining mapped regions had an average coverage of >100X, which should provide sufficient and accurate information for our subsequent analyses. In conclusion, phylogenomic data were consistent with the epidemiological findings that transmission in closed settings especially during family and religious gatherings is a hallmark of COVID-19 outbreak in Hong Kong. Social distancing and vigilant infection control measures, such as rapid ...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.30.20045740
doi.org doi.org

https://doi.org/10.1101/2020.03.27.20040816

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.27.20040816: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">Consent: Informed consent was obtained from all individual participants and the study was approved by Taiyuan Forth People’s Hospital Ethics Committee.<br>IRB: Informed consent was obtained from all individual participants and the study was approved by Taiyuan Forth People’s Hospital Ethics Committee.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Limitations of this study: 1) the first emergency ward of Taiyuan fourth people’s Hospital is a ward for the treatment of severe/critical COVID 19 patients in Shanxi Province. The small number of samples may affect the statistics and analysis of the results. 2) In the face of sudden outbreaks and life-threatening diseases, no one can use a placebo as a control, so we cannot make sense of exogenous phosphorus supplementation.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a protocol registration statement.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.27.20040816
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https://doi.org/10.1101/2020.03.26.20044610

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.26.20044610: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: Thank you for sharing your code and data.
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  The number of cases is one the limitation of this study. The organization and collection of the data of patient of COVID-19 from different countries of world may be planned and subjected to research for further improvement in the diagnostic modalities.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.26.20044610
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https://doi.org/10.1101/2020.03.30.20040519

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.30.20040519: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  There are limitations to our approach. Our approach requires viral load data over multiple time points; therefore, we may not be able to estimate the timing of infection immediately after symptom onset. Further, we need to note that both the boundaries and the day of infection establishment estimated using our approach could be underestimated, because infection is established after exposure starts. For countries and communities at risk of future COVID-19 outbreak, which include second outbreaks after significant decreased transmission (i.e. China), we strongly recommend monitoring the viral load in the early phase of outbreaks. As such, the method we used may be critical to help shape a country’s early response to an outbreak.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.30.20040519
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https://doi.org/10.1101/2020.03.30.20046227

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.30.20046227: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">These three variables in the GIS environment create a map of cumulative confirmed cases country-wise as well as recovered and death map [10].</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GIS</div><div>suggested: (SeaGIS, RRID:SCR_001101)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.30.20046227
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Understanding COVID-19 spreading through simulation modeling and scenarios comparison: preliminary results.

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.30.20047043: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Although the model has limitations, since it is a simplification of the reality, the results of the calibrated model (Figure 3) fits quite well with the official data of infected people with COVID-10 in Spain until 24 March. Until today, it is difficult to obtain the most probable R0 after 14 March because of the time lag of detected patients due to the incubation period (set at 6 days). Therefore, further time is needed to quantify the effect of mitigation measures in the R0 reduction. We think that the real amount of infected people would reach, at least, 2.1 times the official numbers, calculated from a 3.4% fatality rate from days 24 and 25 March (Figure 4). If the fatality rate estimation changed, the real numbers of infected people would rise up consequently. It is important to remark that not knowing the real numbers of infected people does not significantly affect the power of the approach we propose here, since the comparison of different scenarios (e.g. reducing R0 after a day or another) uses the same base model. Hence, we can say that the measure that works better in the model, would work better in the real world as well. Besides, the results of this model would improve if we could adjust all the parameters to the real situation. Then, we could build a more robust model. In fact, our intention is to generate further versions of this model with whenever more accurate parameters are available. Fatality numbers followed a smooth curve until 24 March, when the increas...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.30.20047043
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https://doi.org/10.1101/2020.03.29.20047159

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.29.20047159: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: This study was approved by the institutional ethics board of Union Hospital, Tongji Medical College, Huazhong University of Science and Technology (No. 20200029).</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  There are limitations and future studies. First, there was the possibility of unmeasured residual confounding effects of contact status with infected cases, although we had adjusted for some primary confounders. Second, the insufficient sample size may influence the statistical power. Further large prospective studies are needed to validate our findings. Third, we ignored dynamic interactions between patients and HCWs in our IBM, but simply considered infectious patients as external sources. A more comprehensive model including patients, visitors, nurses, doctors, staff, and even family members should be studied in the future since the hospital is not a closed system. Fourth, our model has many uncertain parameters (susceptibility, infectivity levels, disease progress, and detailed contact patterns) that could be adjusted to available data for any given local community and can be further used to explore the efficacy of different control strategies for specific local communities and single entities (e.g., schools, working places, hospitals).
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.29.20047159
doi.org doi.org

https://doi.org/10.1101/2020.03.30.20047308

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.30.20047308: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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sciscore

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doi.org/10.1101/2020.03.30.20047308
doi.org doi.org

https://doi.org/10.1101/2020.03.29.20046631

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.29.20046631: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: The study was later approved by Columbia University Institutional Review Board for research and publication purposes.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  There are limitations to this study. First, responses from patients in other parts of the country that are not so significantly impacted from COVID-19 may differ from our data. Secondly, our response rate was 17%. Due to the anonymity of the survey we do not have information on the non-responders and do not know if they share the same opinions as our responders. It is possible that those who responded had the strongest opinions. Lastly, the situation with COVID-19 is very fluid. As we gain a deeper understanding of the long-term impact of the pandemic and see how the situation evolves on a local, national and global scale, patients’ feelings may change.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

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doi.org/10.1101/2020.03.29.20046631
doi.org doi.org

https://doi.org/10.1101/2020.03.29.20046011

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.29.20046011: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: Thank you for sharing your code.
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.03.29.20046011
doi.org doi.org

https://doi.org/10.1101/2020.03.28.20046144

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.28.20046144: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: This study was approved by the institutional review board of the hospital.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Statistical analysis: Data analysis was performed using SPSS 22·0 statistical software.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">GraphPad 6·0 software was used for plotting.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Limitations: This study has several limitations. First, due to the retrospective design, we were unable to control the time intervals between examinations of the various indices in patients and the LMWH treatment schedule. Likewise, we could not estimate and manage the effective dose and timing of LMWH. Second, there were no critical cases in the two groups of patients; the treatment outcome of all cases was improvement and discharge, and there were no deaths. Finally, the findings are limited by the sample size and single-center design of our study.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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URL

doi.org/10.1101/2020.03.28.20046144
doi.org doi.org

https://doi.org/10.1101/2020.03.29.20046789

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.29.20046789: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: Thank you for sharing your code and data.
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.29.20046789
doi.org doi.org

https://doi.org/10.1101/2020.03.29.20046904

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.29.20046904: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">1 (SAS Institute, Cary NC) and R.15</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SAS Institute</div><div>suggested: (Statistical Analysis System, RRID:SCR_008567)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  The use of the FSI does come with limitations. The data are also not available for all countries, limiting the scope of the analyses. The classification of countries into 4 categories based on numeric scores, while useful for communicating and understanding the risk levels, may reduce power to detect trends in the data. To address this, we used the continuous FSI score when possible. The data are only available at the country level, which does not allow for analyses at a finer geographic scale. A key assumption in this analysis is that passenger volumes are a measure of importation pressure, with humans acting as the ‘vectors’ of disease.23 This does not account for important differences in population vulnerability, such as vaccination status, pre-existing health conditions, specific locations where tourists may be likely to visit, and reasons for traveling. In summary, there is an association between changes in the coping capacity of a country to manage outbreaks, and changes in outgoing passenger volumes. Air travel will likely continue to increase, outpacing the improvements in our ability to prevent, detect and control epidemics, especially in resource limited settings. While air travel remains a safe and rapid means of connecting people across the world, the impact of even one exported case can be catastrophic, emphasizing the importance of strengthening global health capacity and security.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.03.29.20046904
doi.org doi.org

https://doi.org/10.1101/2020.03.30.20047662

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.30.20047662: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">All analyses were performed with the use of R software, version 3·6·3, and Rstudio, version 1·2·5033 (R Foundation for Statistical Computing).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Rstudio</div><div>suggested: (RStudio, RRID:SCR_000432)</div></div></td></tr></table>
  Results from OddPub: Thank you for sharing your code.
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  By drawing on available evidence of how COVID-19 has and is evolving across the globe, our results rely on and reflect the limitations of the parameters observed in China and on unique patterns reported in Italy. Given the significant uncertainty in parameter estimates at this phase of the epidemic and the simplifying assumptions of an exponential model, results from our simulated scenarios should not be used as precise estimates for the exact timing and extent of capacity thresholds being reached. Instead, they aim to inform planning and prompt response and do send three important messages. First, the epidemic of COVID-19 is likely to exacerbate existing inequalities if those that solely rely on the SUS are hit the hardest. In communities with high population density and poor infrastructure, it is unfeasible to practice social isolation. In those areas, the transmission is likely to occur fast and the population mostly relies only on the SUS, quickly overwhelming the health system. One alternative to alleviate the is to temporarily put all private hospitals under the control of the state, a measure adopted by Spain.26 Yet, our results show that this would postpone shortages by about a week. In fact, solutions that do not involve the opening of new facilities will have a very short effect on the timing of shortage. Second, there is a short window of opportunity to prepare. The response must be immediate, and it will demand a concerted effort from society. Repurposing large sp...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.30.20047662
doi.org doi.org

https://doi.org/10.1101/2020.03.30.20047456

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.30.20047456: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: Thank you for sharing your code.
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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URL

doi.org/10.1101/2020.03.30.20047456
doi.org doi.org

https://doi.org/10.1101/2020.03.30.20047688

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.30.20047688: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The Viterbi algorithm implemented in the HMM v1.0 package (15) in R (9) was used to estimate the sequence K.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>HMM</div><div>suggested: (Hmmer, RRID:SCR_005305)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">For the implementation we used the following packages: shiny v1.4.0 (16), shinydashboard v0.7.1 (17), shinydashboardPlus v0.7.0 (18), readxl v1.3.1 (19), shinyalert v1.0 (20), httr v1.4.1 (21) and plotly v4.9.2 (22), all available on CRAN (Comprehensive R Archive Network, https://cran.r-project.org/).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>CRAN</div><div>suggested: (CRAN, RRID:SCR_003005)</div></div></td></tr></table>
  Results from OddPub: Thank you for sharing your code.
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  In spite of that limitation, the presented tool remains highly useful to monitor the growth behavior of epidemics.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.30.20047688
doi.org doi.org

https://doi.org/10.1101/2020.03.30.20047878

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.30.20047878: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">In particular, two GEO datasets were extracted and analyzed: 1) GSE66499, reporting microarray data on 152 normal lung samples from Caucasian individuals; 2) GSE19804, reporting microarray data on 60 normal lung samples from Taiwanese females.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Gene expression data: Expression data for ACE and TMPRSS2 genes were obtained through the: 1) genotype-tissue expression (GTEx) database (https://gtexportal.org/home/), which was also used to extract quantitative trait loci (eQTLs) for the two genes (all data based on RNAseq experiments); and 2) Gene Expression Omnibus (GEO) repository (https://www.ncbi.nlm.nih.gov/geo/).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Gene Expression Omnibus</div><div>suggested: (Gene Expression Omnibus (GEO, RRID:SCR_005012)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Genetic data: Genetic data for general European and East Asian populations were retrieved through the GnomAD repository, which contains data on a total of 125,748 exomes and 71,702 genomes (https://gnomad.broadinstitute.org/).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>https://gnomad.broadinstitute.org/</div><div>suggested: (Genome Aggregation Database, RRID:SCR_014964)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">All calculations were performed using the R software (https://www.r-project.org/).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>https://www.r-project.org/</div><div>suggested: (R Project for Statistical Computing, RRID:SCR_001905)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.30.20047878
doi.org doi.org

https://doi.org/10.1101/2020.04.01.20048561

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.01.20048561: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: The study protocol was submitted and approved through the Hospital Ethics Board. Patients, or their legal representative, provided either verbal or written consent to participate in the study.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">All statistical analyses were performed with SAS® software (Version 9.4 or later).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SAS®</div><div>suggested: (SASqPCR, RRID:SCR_003056)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Our study has several limitations. It is an observational study with a small sample size, which limits the interpretation and generalisability of the results. Due to the observational study design, we cannot exclude the possibility of unmeasured confounding factors, although we have reassuringly noted consistency in the propensity score-matched analyses. No data were available for laboratory parameters and adverse events in the control cohort, meaning that comparisons between treated and untreated patients were not possible. Nonetheless, there is a sound rationale for the use of siltuximab in this patient group, and there were improvements in mortality and patient outcomes. In summary, our study indicates that siltuximab administered at the onset of ventilatory support reduces mortality associated with COVID-19 and respiratory failure compared with best supportive care. Further randomised controlled studies are needed to confirm the efficacy and safety of this IL-6 neutralising mAb in the treatment of patients with COVID-19 and respiratory failure.
  Results from TrialIdentifier: We found the following clinical trial numbers in your paper:<br><table><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Identifier</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Status</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Title</td></tr><tr><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">NCT04322188</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Completed</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">An Observational Study of the Use of Siltuximab (SYLVANT) in…</td></tr></table>
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.04.01.20048561
doi.org doi.org

Perceptions and behavioural responses of the general public during the COVID-19 pandemic: A cross-sectional survey of UK Adults

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.01.20050039: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Data Analysis: Analyses were conducted in Stata 15 and SPSS version 25.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  This study has three limitations. First, with an online approach, responses of those without internet access were under-represented. Second, the survey tool consisted of predominantly closed-ended questions. Thus, we were unable to explore responses in more depth. Third, surveys collecting self-report data are generally subject to limitations including honesty, introspective ability and interpretation of the questions. Our findings highlight the stark choices faced by those in lower socio-economic groups and suggest that unless the government intervenes to support these individuals, the impact of this epidemic will likely be felt unequally in our society. Not only this, but if a large proportion of the population continues to work while unwell, low compliance will render the various forms of social distancing less effective, as low-income workers are forced to choose between financial and physical health. Indeed, this behaviour has already been observed in the workplace in previous pandemics: workers without access to paid sick leave were more likely to work while unwell than those with paid sick leave (14). A study in China after the H7N9 epidemic found that only 7% of people reported willingness to self-quarantine (15). Also, during the Middle East Respiratory Syndrome (MERS) outbreak in Korea in 2015, there was heterogeneous uptake of preventive interventions (16). Conclusions and policy implications: In the absence of a vaccine and treatments over the short-term, high com...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.04.01.20050039
doi.org doi.org

https://doi.org/10.1101/2020.04.01.20049767

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.01.20049767: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: Thank you for sharing your code.
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.04.01.20049767
doi.org doi.org

https://doi.org/10.1101/2020.03.31.20049155

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.31.20049155: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.31.20049155
doi.org doi.org

https://doi.org/10.1101/2020.03.30.20048058

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.30.20048058: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">Articles eligible for inclusion were observational cohort, case-control, or randomized controlled trials (RCTs) characterizing either serum IL-6 dynamics or therapeutic response to tocilizumab in adult or pediatric patients diagnosed with COVID-19.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">This systematic review was undertaken with methodology in accordance with Cochrane Handbook,25 and reporting consistent with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Cochrane</div><div>suggested: (Cochrane Library, RRID:SCR_013000)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">, pre-publication manuscripts in pre-print servers (Biorxiv, Medrxiv, and Chinxiv), and Google Scholar, and for planned trials in clinical trial registries (clinicaltrials</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Biorxiv</div><div>suggested: (bioRxiv, RRID:SCR_003933)</div></div><div style="margin-bottom:8px"><div>Google Scholar</div><div>suggested: (Google Scholar, RRID:SCR_008878)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">We then conducted an expanded Ovid Medline and Embase database search from January 1, 2020 to March 15, 2020 for all published cohort studies reporting COVID-19 patient characteristics and outcomes (see Appendix for full search strategy) to ensure all studies reporting IL-6 levels in COVID-19 were identified.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Embase</div><div>suggested: (EMBASE, RRID:SCR_001650)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Data analysis was undertaken utilizing Microsoft Excel version 16.35 (</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Microsoft Excel</div><div>suggested: (Microsoft Excel, RRID:SCR_016137)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">(Microsoft, Redmond, United States, 2020) and Review Manager version 5.3.5 (Cochrane Collaboration, Copenhagen, Denmark, 2014).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Review Manager</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>Cochrane Collaboration</div><div>suggested: None</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  The results of the preliminary investigation of tocilizumab in severe COVID-19 are promising, but also suffer from important limitations.43 In patients receiving tocilizumab, all experienced rapid resolution of fever, symptomatic improvement, and the majority had early reductions in oxygen requirements and radiographic abnormalities. In contrast to other cohorts, which have demonstrated mortality rates of up to 61.5% amongst critically ill patients (and the pooled mortality of 22% among all hospitalized patients seen in our meta-analysis), no patients died in this study after administration of tocilizumab.48 Further, despite intensive immunosuppression, no patients developed superimposed nosocomial pulmonary infections nor significant adverse drug reactions. This study is limited by its small sample size, non-randomised intervention, lack of comparator arm, and retrospective design, but the results are biologically plausible as the included patients all had elevated IL-6 levels which decreased progressively in parallel to clinical and radiographical improvement.43 Despite these early signals of benefit, the results of several ongoing clinical studies should be awaited to better define the role of tocilizumab in the therapy of COVID-19.49-53 Such studies benefit from larger sample sizes, prospective recruitment of patients with a wide spectrum of disease severity, and in some protocols, the use of active controls. Further, sarilumab, another monoclonal antibody blocking the IL...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.30.20048058
doi.org doi.org

https://doi.org/10.1101/2020.03.31.20048397

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.31.20048397: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: Thank you for sharing your code and data.
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.31.20048397
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https://doi.org/10.1101/2020.03.31.20048876

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.31.20048876: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">Consent: All survey participants gave consent to participate in the anonymous online survey by MACROMILL INC.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">From a pool of approximately 1.2 million registered individuals residing in Japan, we recruited a total of 11,342 males and females aged from 20 to 64 years.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Data analysis: We analyzed the data using STATA/MP version 16.0 for Mac (StataCorp, College Station, TX, United States).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>STATA/MP</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>StataCorp</div><div>suggested: (Stata, RRID:SCR_012763)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  It is notable that approximately 65 percent of the participants support stricter countermeasures, such as limitation of movement. As we mentioned in the introduction, as of yet, the government has not made stay-at-home orders mandatory and it has not offered financial aid to those affected by such measures. The current requests from central/local governments are not legally binding and people/businesses have to arrange financial compensation independent of the government. We should observe how effective these measures are in Japan over the long term. There are several limitations to this study. First, the data were self-reported, and participants’ actual behaviors have not been observed. Second, the sample was not collected based on random sampling. Quota sampling ensured a similar distribution to the Japanese population among demographic groups (gender, age and work status), but the sample within each group does not necessarily reflect the population. Third, we obtained this dataset at the end of March 2020, when the infection is not explosively widespread in Japan. This study should be reanalyzed after the COVID-19 pandemic comes to an end.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.03.31.20048876
doi.org doi.org

https://doi.org/10.1101/2020.04.01.20050450

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.01.20050450: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">ALL statistical analyses were done using the SPSS software, version 20.0 (IBM Corporation, Armonk, NY).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  The spread of SARS in 2003, also brought to light substantial weaknesses in the country’s public-health system. After the SARS epidemic was brought under control, the government increased its commitment and leadership to tackle public-health problems and, among other efforts, increased public-health funding, revised laws that concerned the control of infectious diseases, implemented the world’s largest internet-based disease reporting system, and started a program to rebuild local public-health facilities(22). For the outbreak of epidemic in the whole country, the prevention and control system should be changed timely. Different levels of cases should be treated differently. Case detection and management, vulnerable population protection, and transmission routes cutting off are needed to decrease the rate of infection. The monitoring of the epidemic by Health Commission is necessary. Real time media are needed to attract the people’s attention. In this study, we found the provinces that reported the life tracks for confirmed cases had mild epidemic and less confirmed cases (Figure 2 and Figure 3). Compared with the paired province, Tianjin, Jilin, Gansu, Shanxi, Hainan and Guizhou have significant differences in the number of new confirmed cases and have lower mean rank (P<0.05, table 2). Compared with the matched municipalities, Shanghai has not significant difference but has a lower mean rank (P=0.175). There may be two reasons for this result. Firstly, the population densi...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.04.01.20050450
doi.org doi.org

https://doi.org/10.1101/2020.03.30.20047852

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.30.20047852: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.30.20047852
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https://doi.org/10.1101/2020.04.02.20046375

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.02.20046375: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: Thank you for sharing your code and data.
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  There are however some limitations to this analysis. While South Korea’s testing strategy has clearly been comprehensive, it is not clear that it has been completely un-biased. In particular, the low number of cases in the 10-19 years bin compared to the 20-29 years bin might be explained by a radical difference in the true proportion of cases between those two age groups, but also by lower testing among younger individuals because they might have been considered at very low risk of complications and/or unlikely to be infectious. The information available does not allow us to discriminate between those explanations. Moreover, the assumption that the case fatality rate in South Korea and (north) Italy is identical is subject to discussion as physicians in South Korea are more experienced in managing patients suffering from Acute Respiratory Distress Syndrome following the 2015 Middle East Respiratory Syndrome (MERS) epidemic in South Korea. Moreover, every country adopted its own specific strategy for testing and reporting of cases, resulting in heterogeneity of the COVID-19 data coming from different countries. For example, South Korea opted for blanket testing of its population and selective quarantine of the positive cases, while Italy focused on testing high-risk and symptomatic subjects and generalized lockdown of the country to reduce the R0 by acting on the frequency of social contacts. Even within the same country, the reporting strategy changed over time in some cases...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  No funding statement was detected.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.04.02.20046375
doi.org doi.org

https://doi.org/10.1101/2020.03.31.20042333

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.31.20042333: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: Study design and patients: This study was approved by the Institutional Review Board (IRB) of Nanjing Medical University.<br>Consent: Written informed consent was obtained from the 12 enrolled patient.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">In summary, we recruited 12 survived male COVID-19 patients from January 31 to March 14, 2020 in Wuhan.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">IgM and IgG antibodies in serum were measured by using a commercial colloidal gold test kit (Wondfo biotechnology, Guangzhou, China) recommended by the CDC.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>IgM</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>IgG</div><div>suggested: None</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Our study has several limitations. First, the sample size was relatively small in which only 13 patients with 2019-nCov positive was included; more patients are needed to confirm our findings in the future. Second, multiple nucleic acid tests on semen should be taken during the course of disease, especially in the incubation period. However, multiple collection of semen sample was difficult. Nevertheless, this is the first study that directly evidenced the absence of 2019-nCov in semen and testicular biopsy specimen of male COVID-19 patients, which indicated that 2019-nCov can not straightway infect the testes and male genital tract.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.03.31.20042333
doi.org doi.org

https://doi.org/10.1101/2020.04.01.20041186

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.01.20041186: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">Consent: This study was conducted with informed consent of the respondent.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Statistical methods: Statistical analysis was performed using SPSS 22 (IBM, USA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  The limitations of our study and implications are as follows. (1). Compared with super large-scale number of people affected by the countrywide quarantine, the sample size of our survey was very small. Thus, our results might not be able to fully reveal the true situation. (2). Although there is not much we can do, the form of online survey naturally ignored certain population, especially those aged adults who could be more vulnerable to COVID-19(Wu and McGoogan, 2020) but do not use smart phones. From our survey, only a very small portion of respondents (2.9%) are older than 65 years. (3). As we mentioned earlier, anxiety level could be a mixed result of many different factors. It is almost impossible to find out the pure contribution of quarantine to anxiety level. For example, worries about potential infection or financial problem could also elevate anxiety score(McAlonan et al., 2007, Zheng et al., 2005). Some respondents even leaved message to express their concerns about childcare and education due to school suspensions.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.04.01.20041186
doi.org doi.org

https://doi.org/10.1101/2020.03.30.20047803

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.30.20047803: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

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doi.org/10.1101/2020.03.30.20047803
doi.org doi.org

https://doi.org/10.1101/2020.03.31.20038935

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.31.20038935: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: Study Design and Participants: This retrospective study complied with the Declaration of Helsinki and was approved by the Hubei Provincial Hospital of Traditional Chinese Medicine (HPHTCM)’s ethical review board (Clinical Ethical Approval No. HBZY2020-C15-01).<br>Consent: Written informed consent was waived by the Ethics Commission of the hospital for emerging infectious diseases.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">Age- and sex-matched cases were randomly selected from the remaining COVID-19 patients without hypertension as non-hypertension controls.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Statistical Analysis: Data analysis was performed using SPSS (Statistical Package for the Social Sciences, version 23).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div><div style="margin-bottom:8px"><div>Statistical Package for the Social Sciences</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Our study has several limitations. First, due to the retrospective nature of this study and the fact that it was conducted in a single hospital, interpretation of our findings might be limited by the sample size and selection bias. We also realize that there are additional risk factors may not be well-controlled despite as many confounders as possible were corrected for. Nevertheless, as far as we know, this is the largest retrospective cohort study designed to examine the usage of ARBs/ACEIs and its effect on COVID-19 patients with preexisting hypertension. Second, the severity and disease course were not identical among these patients, which resulted in the difficulty in collecting laboratory indicators at the same time point, we therefore selected the most extreme values beyond the normal range of laboratory indicators that could reflect the severity of condition for comparison. However, this strategy might still cause biases in presenting laboratory indicators. Third, the expression of ACE2 and other inflammatory factors were not determined in this study due to the sample availability and limited technical resources in our hospital, this limitation prevented us from further exploring the mechanisms by which ARBs/ACEIs regulate the inflammatory status of COVID-19 patients with hypertension.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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sciscore

URL

doi.org/10.1101/2020.03.31.20038935
doi.org doi.org

https://doi.org/10.1101/2020.04.03.20047977

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.03.20047977: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: Please consider improving the rainbow (“jet”) colormap(s) used on page 30. At least one figure is not accessible to readers with colorblindness and/or is not true to the data, i.e. not perceptually uniform.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a protocol registration statement.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.03.20047977
doi.org doi.org

https://doi.org/10.1101/2020.04.03.20051722

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.03.20051722: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: This study was approved by the Institutional Ethics Board of Wuhan Union Hospital of Tongji Medical College, Huazhong University of Science and Technology (No. Union Hospital-0093).<br>Consent: Written informed consent was waived by the Ethics Commission of the designated hospital for the emerging infectious diseases.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">The threshold of Scr was 54-133 (μmol/L) for male and 44-106 (μmol/L) for female, BUN was 2.9-8.2 (mmol/L), serum uric acid was 208-428 (μmol/L) for male and 155-357 (μmol/L) for female, as well as Cystatin C was 0.63-1.25 (mg/L) for male and 0.54-1.15 (mg/L) for female.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">All statistical analyses were performed using SPSS 20.0 software, and P <0.05 was regarded as a significant difference.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.03.20051722
doi.org doi.org

https://doi.org/10.1101/2020.04.01.20047373

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.01.20047373: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Analysis was conducted in Jupyter notebook with Python 3.8.2 software and also with XL-Stat statistical software for excel.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Python</div><div>suggested: (IPython, RRID:SCR_001658)</div></div></td></tr></table>
  Results from OddPub: Thank you for sharing your data.
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  5.1 Study limitations: Firstly, correlation studies do not mean causality. The associations mentioned above are indicative of certain trends only. However, at an early stage of a novel disease trends can definitely be a good approximation for a large data-related analysis. Secondly, due to extreme paucity of data from many countries, they were excluded in certain analysis for example the one on testing frequency and outcomes. This weakness was overcome by including the top 15 countries wherefrom the majority of the data were more homogenous and devoid of significant outliers. Thirdly, the correlation values are not indicative strong associations-both positive and negative. However, this is due to the fluidity of the situation. We do not desire the numbers to go up to give us opportunity for a robust analysis. This is precisely why we attempted to identify trends from the updated data and guide our health care system to gear up for a better assessment of the situation. Fourthly, the use of GDP as a measure of disease outcomes cuts both ways. If it is an indicator of surplus wealth, then it is expected that a large proportion of the same could be channelized into the health care facility and hence the outcomes. Hence, we choose to include both GDP as well as share of the World’s GDP in this analysis to overcoming this confounding. 5.2 Strength of the study: In contrast to the association data related to mortality rates and risk factors for the same like sex age, other co-morbid...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.01.20047373
doi.org doi.org

https://doi.org/10.1101/2020.04.03.20051813

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.03.20051813: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  No funding statement was detected.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.03.20051813
doi.org doi.org

https://doi.org/10.1101/2020.04.02.20050773

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.02.20050773: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">We used climatic data represented by monthly average minimum and maximum temperature (°C) and total precipitation (mm) retrieved from the WorldClim database (https://www.worldclim.org) [29].</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>WorldClim</div><div>suggested: (WorldClim, RRID:SCR_010244)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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URL

doi.org/10.1101/2020.04.02.20050773
doi.org doi.org

https://doi.org/10.1101/2020.04.01.20049957

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.01.20049957: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">Consent: Ethical approval and informed consent: According to the Dutch Medical Research Involving Human Subjects Act (WMO) the present study did not require ethical approval.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.01.20049957
doi.org doi.org

https://doi.org/10.1101/2020.04.02.20050781

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.02.20050781: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Statistical decisions were all made at a 5% level of significance using SPSS software.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.02.20050781
doi.org doi.org

https://doi.org/10.1101/2020.04.01.20049759

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.01.20049759: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  However, a major limitation is that the models presented here use data on physical infrastructure but do not account for staffing or ventilator supplies. Healthcare workers, especially those involved in critical care, are at high risk for COVID-19 infection and thus there may be staffing shortages that reduce the utility of the critical care beds that could be gained under surge responses. There have already been reports of hospitals being unable to accept patients, not because of lack of beds but due to lack of staff to cover those beds. Some states, like New York, are currently recruiting retired healthcare workers to assist with staffing shortfalls, an approach that might be generally applicable in alleviating shortfalls during the current epidemic. These retirees are, however, generally older and can be particularly vulnerable to poor outcomes from COVID-19. Our models also cannot account for the innovation, ingenuity and perseverance of medical staff, many of whom are trained to work in crisis situations. It is likely that medical staff will find solutions that are unanticipated by our models, that can subsequently be included as they become known and more widely applied across healthcare systems. Future analyses should also incorporate counts of ventilators in addition to critical care beds. Our models also did not account for heterogeneities arising from specific high-risk communities in different localities. For instance, places with large elderly populations or high ...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.01.20049759
doi.org doi.org

https://doi.org/10.1101/2020.04.01.20050310

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.01.20050310: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Although our study uncovers some convincing approximation on the dynamic progression patterns of COVID-19 in Wuhan, there remain some limitations. Here we assume that all recovered patients become totally immune to the novel coronavirus infection. If recovered patients are still susceptible, an extension from SIQR to SIQRS (that is, Susceptible-Infective-Quarantined-Removed-Susceptible) may be employed, while the general framework of our method remains largely applicable. In addition, the removed compartment in our model contains both death and cured cases, which prevents us from estimating the time-varying case fatality rates. Consequently, our assessment of large scale hospitalization does not reflect its effectiveness in death toll reduction, although literature has shown that promptly hospitalizing infected people could reduce the fatality rate for older adults and even for those with mild symptoms20,21,22,23,24. Future studies may investigate the trajectory of fatality rates by treating death and cured cases separately. In summary, our finding provides a quantitative illustration that the scale of infection size in Wuhan can be multi-fold higher than officially reported numbers and partially explains the excessive stress experienced by frontline medical workers despite seemingly modest case number increases reported during late January of 2020. This work thus gives a cautionary tale for drawing immediate public health conclusions solely based on unadjusted official case ...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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sciscore

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doi.org/10.1101/2020.04.01.20050310
doi.org doi.org

https://doi.org/10.1101/2020.04.01.20049908

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.01.20049908: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: Thank you for sharing your code and data.
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  The model presented here is subject to several limitations. Because the model does not explicitly structure individuals by household, we are unable to evaluate the impact of measures based on household contacts, e.g. household quarantine, i.e., where all members of a household with a suspected COVID-19 case remain in isolation. Such contact-targeted measures could increase the impact of a package of interventions by limiting spread in the community. However, the presence of asymptomatic infections [23] means that isolation based on symptomatic case identification would be unlikely to fully prevent ongoing transmission. We also do not include individual level variation in transmission (i.e. ‘superspreading events’, [24]). There are several examples of such events for COVID-19 [25], and individual-level variation is likely important in influencing the success of control measures in the very early stages of an outbreak [5]. However, as outbreaks of directly-transmitted infections become larger, the population-level dynamics will predominantly be driven by the average mixing pattern between key epidemiological groups, particularly between different ages [11,26]. We therefore used a stochastic model implementation to capture variation in these population-level dynamics. We also assumed that subclinically-infected individuals were 50% as infectious as clinical cases. A study of 2,147 close contacts in Ningbo, China estimated that the mean onward transmission from asymptomatic infec...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.01.20049908
doi.org doi.org

https://doi.org/10.1101/2020.04.02.20050351

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.02.20050351: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: Thank you for sharing your code and data.
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.02.20050351
doi.org doi.org

https://doi.org/10.1101/2020.04.01.20049684

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.01.20049684: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: Thank you for sharing your code and data.
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  As limitations, we should be note that the application does not take into account the changes in the definition of a case diagnosed by COVID-19, nor the population exposed. So, the number of events is modeled directly instead of the incidence rate, assuming that the entire population is at risk, except for the case fatality rate. On the other hand, the analyzes are not free from the biases linked to the source of information provided by the Ministry of Health (8), being collected on a daily basis through the Datadista github (7). We continue to plan improvements to the app to include new analytics and visualizations. Also, the application could be extensible for use in other countries or geographic areas. In summary, this application, easy to use, come to fill a gap in this particular scenario for the visualization of epidemiological data for the COVID-19 epidemic in Spain.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: Please consider improving the rainbow (“jet”) colormap(s) used on page 7. At least one figure is not accessible to readers with colorblindness and/or is not true to the data, i.e. not perceptually uniform.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.01.20049684
doi.org doi.org

https://doi.org/10.1101/2020.04.03.20049734

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.03.20049734: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The trust-region based method implemented in the lsqnonlin Matlab function is applied to solve problem (6) (see [11] for details about this aspect).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Matlab</div><div>suggested: (MATLAB, RRID:SCR_001622)</div></div></td></tr></table>
  Results from OddPub: Thank you for sharing your code and data.
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.03.20049734
doi.org doi.org

https://doi.org/10.1101/2020.04.03.20049080

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.03.20049080: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.03.20049080
doi.org doi.org

https://doi.org/10.1101/2020.04.01.20049478

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.01.20049478: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  The limitations in our analyses are important to consider. Deaths lag behind symptomatic infection by 2-8 weeks, and when compared with concurrent incidence cases may underestimate the CFR, although this is less likely to influence cumulative crude mortality32. Health system preparedness of each country and the institution of control measures such as social distancing and lockdowns can also determine the cases and mortality numbers. Our data are not meant to falsely reassure countries that their use of BCG may lead to lower mortality. Indeed, our analysis is ecological, does not take into account present BCG coverage, nor timing of BCG vaccine introduction into national schedules, and is not based on a randomized comparison. By far the most important source of unmeasured confounding in our analysis relates to differential testing and reporting. Limited laboratory surveillance availability and access to facility-based care is common in countries using BCG. Substantial case underascertainment or under-reporting of deaths can magnify any association between mortality and BCG use. In exponential functions, small iterations in time result in substantial changes in outcome. Our findings need to be interpreted with caution; given vulnerable health systems and high levels of comorbidities in LMICs, if an exponential rise of cases followed by deaths were to occur in ensuing weeks, this would alter the epidemiological predictions in this report. Despite all these caveats, the inverse r...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.01.20049478
doi.org doi.org

https://doi.org/10.1101/2020.04.03.20048868

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.03.20048868: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.03.20048868
doi.org doi.org

https://doi.org/10.1101/2020.03.31.20048256

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.31.20048256: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">Consent: 2.1 Patients: This study was approved by our institutional review board; informed consent was waived for the retrospective nature.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Quantitative analyses were automatically performed in all cases using an updated artificial intelligence-based image analysis system (Intelligent Evaluation System of Chest CT, Yitu Healthcare, China, https://www.yitutech.com/en).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Yitu Healthcare</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">2.4 Statistical Analysis: Statistical analyses were performed using Statistical Package for the Social Sciences (IBM Inc., USA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Statistical Package for the Social Sciences</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Our study has several limitations. Firstly, our study was based on a short-term follow-up and a small sample from a single center. Furthermore, most COVID-19 cases in our study were imported from the remote endemic center, and lack pediatric population and severe infection. In addition, some patients may receive early medical intervention before the base-line CT scans. Finally, some fibrous lesions, incidental nodules (not related to viral inflammation), motion artifact and intralesional vessels might become confounding factors in the artificial intelligence-based analysis. In summary, UHR-CT imaging patterns of peripleural GGO with interlobular and intralobular septal thickening, pleural retraction and thickening, and intralesional vasodilatation indicate the preliminary diagnosis of COVID-19. Most imported COVID-19 cases manifest marked progressed volume of both GGOs and consolidations during the early-phase CT follow-up. The UHR-CT based artificial intelligence methodology should be further explored for assessing pneumonia development in COVID-19 patients.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.03.31.20048256
doi.org doi.org

https://doi.org/10.1101/2020.03.30.20047969

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.30.20047969: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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URL

doi.org/10.1101/2020.03.30.20047969
doi.org doi.org

https://doi.org/10.1101/2020.04.02.20048892

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.02.20048892: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">Two reviewers (of those aforementioned) independently and blinded against the others’ judgements assessed full-text eligibility.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">12 Data Sources and Searches: We designed specific search strategies for biomedical databases (MEDLINE/Ovid, EMBASE/Elsevier, and PsycInfo/EBSCO), combining MeSH terms and free-text keywords (Online Appendix 1).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>MeSH</div><div>suggested: (MeSH, RRID:SCR_004750)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">9,13,14 We used EndNote X8™ to create a bibliographical database, and Rayyan to screen relevant records.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>EndNote</div><div>suggested: (EndNote, RRID:SCR_014001)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">For studies about the impact of outbreaks on mental health, we conducted random-effects meta-analyses to estimate the prevalence and 95% confidence interval (CI) of each type of mental health condition, using the STATA command “metaprop”.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>STATA</div><div>suggested: (Stata, RRID:SCR_012763)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Strengths and limitations of the review: This is a timely and comprehensive rapid review of the current literature on the impact of infectious disease outbreaks on the mental health of HCWs. We examined three relevant areas, namely the prevalence of mental health problems, factors associated with an increased likelihood of developing those problems, and the effects of interventions to improve mental health of HCWs. We followed the highest methodological standards when undertaking the current rapid review,10 and we used the GRADE approach to evaluate the certainty of the evidence, in order to facilitate evidence-informed decision making processes. Our review team is also a strength, as it included experts in evidence synthesis, Cochrane authors, members of the GRADE Working Group, physicians, nurses, editors, psychologists, and psychiatrists. There were also some limitations underlying this work. Despite searching three major databases and manually searching references of previously published systematic reviews, we did not examine gray literature; hence, we cannot discard that relevant references may have been missed out. We observed high heterogeneity when pooling data, which could be partially attributed to the high variability across studies in terms of study population (e.g. occupational role), context (e.g. magnitude of the health emergency caused by epidemic) and outcome measures. In light of this, our results should be interpreted with caution. Some of the risk factors ...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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sciscore

URL

doi.org/10.1101/2020.04.02.20048892
doi.org doi.org

https://doi.org/10.1101/2020.04.02.20051417

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.02.20051417: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Filtered reads were de novo assembled using SPAdes (30) and contigs were ordered against the reference using BWA-MEM (31).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPAdes</div><div>suggested: (SPAdes, RRID:SCR_000131)</div></div><div style="margin-bottom:8px"><div>BWA-MEM</div><div>suggested: (Sniffles, RRID:SCR_017619)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Consensus sequences were annotated using Prokka (32) and deposited to Genbank (accessions pending)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Prokka</div><div>suggested: (Prokka, RRID:SCR_014732)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">) bioinformatics pipeline Augur to align genomes via MAFFT v7.4 (33), build maximum likelihood phylogeny via IQTREE v1.6 (34) and reconstruct nucleotide and amino acid changes on the ML tree.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>MAFFT</div><div>suggested: (MAFFT, RRID:SCR_011811)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Additionally, 293 SARS-CoV-2 aligned genomes from the WA1 outbreak clade were analyzed in BEAST (35) to estimate time of common ancestor and rate of epidemic growth.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>BEAST</div><div>suggested: (BEAST, RRID:SCR_010228)</div></div></td></tr></table>
  Results from OddPub: Thank you for sharing your code and data.
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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URL

doi.org/10.1101/2020.04.02.20051417
doi.org doi.org

https://doi.org/10.1101/2020.04.02.20051334

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.02.20051334: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: We found the following clinical trial numbers in your paper:<br><table><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Identifier</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Status</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Title</td></tr><tr><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">NCT04331509</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Recruiting</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">COVID-19 Symptom Tracker</td></tr></table>
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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URL

doi.org/10.1101/2020.04.02.20051334
doi.org doi.org

https://doi.org/10.1101/2020.03.31.20048652

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.03.31.20048652: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  A further limitation of our study was that we were unable to quantitate the intensity of face mask use per country. This resulted in a rather crude binary classification of face mask usage per country. At this albeit early phase of the pandemic it is important to explore why the virus has spread more extensively in many European countries than China and neighboring countries where the outbreak appeared to have commenced. This is difficult in the absence of data that quantitates national competency in terms of the various components of successful national COVID-19 response plans. Narrative reviews of the features that resulted in the success of countries such as China, Hong Kong, Japan, Singapore and Taiwan have noted a number of common features. These include: rapid response, extensive testing, contact isolation and the widespread usage of face masks in public [4, 21]. There are a number of countries in Western European such as Italy that have conducted intensive screening, contact tracing, isolation, social distancing and widespread lockdowns and yet have amongst the largest COVID-19 epidemics in the world [2]. A striking omission from this response-list if we compare it to the responses in China and other Asian countries with lower COVID-19 incidence is that the widespread use of face masks in public was not promoted. The only European country to adopt this strategy was Czechia, and it did so at a relatively late stage in the epidemic [19, 20]. Early indications suggest tha...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.03.31.20048652
doi.org doi.org

https://doi.org/10.1101/2020.04.03.20052217

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.03.20052217: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.03.20052217
doi.org doi.org

https://doi.org/10.1101/2020.04.03.20052183

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.03.20052183: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IACUC: The study has been approved by Ethical Committee of IstitutoTumori G Paolo II, IRCCS, Bari with Protocol number CE 870/2020.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">A surface antigen from SARS- CoV-2 which can specifically bind to SARS-CoV-2 antibodies (including both IgM and IgG) is conjugated to colloidal gold nanoparticles and sprayed on conjugation pads.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SARS-CoV-2</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The SARS-CoV-2 rapid IgG-IgM combined antibody test strip has two mouse anti-human monoclonal antibodies (anti-IgG and anti-IgM) stripped on two separated test lines.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-human monoclonal antibodies</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>anti-IgG</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">As the specimen flows through the device, anti-SARS-CoV-2 IgG and IgM antibodies, if present in the specimen, are bound by the SARS-CoV-2 antigen labeled gold colorimetric reagent fixed on the conjugate pad.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti-SARS-CoV-2 IgG</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">As the conjugated sample continues to travel up the strip, the anti- SARS-CoV-2 IgM antibodies are bound on the M(IgM) line, and the anti-COVID-19 IgG antibodies are bound to the G (IgG) line.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>anti- SARS-CoV-2 IgM</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>anti-COVID-19 IgG</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The presence of SARS- CoV-2 IgG and IgM antibodies are indicated by a red/purple line in the specific region indicated on the device.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>IgM</div><div>suggested: None</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Such a behavior in the 6-10 day time window after symptom appearance is accompanied by an improvement in serological test sensitivity compared to standard molecular testing Our study has some important limitations. Firstly, the Viva-Diag™ test is based on a colorimetric evaluation of the IgG and IgM bands by the operator thus implying all the limitations that a qualitative inter-intra-operator evaluation produce in terms of variability (15). In our study, this aspect was partially solved by resorting to double operator evaluation and taking picture of all test results to be re-analyzed by a third party in the case of first level evaluation disagreement. However, in this regard, our next step of research to overcome the issues met,will be to use quantitative immunoenzymatic methods to analyze SARS-CoV-2 specific immunoglobulins (16). A further limitation of our study regarded the fact that the neutralizing antibodies used in the Viva-diag™ test might cross-react with other corona-virus antigens, like those of the SARS-CoV. The recombinant antigen utilized in Viva-Diagis the receptor binding domain of SARS-CoV-2 spike protein for which information on possible cross-reactivity with other corona and flu viruses has not yet been studied (9). Further studies are urgently needed to definitely clarify this point.
  Results from TrialIdentifier: We found the following clinical trial numbers in your paper:<br><table><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Identifier</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Status</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Title</td></tr><tr><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">NCT04316728</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Not yet recruiting</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Clinical Performance of the VivaDiag ™ COVID-19 lgM / IgG Ra…</td></tr></table>
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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sciscore

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doi.org/10.1101/2020.04.03.20052183
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https://doi.org/10.1101/2020.04.05.20054460

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.05.20054460: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: Thank you for sharing your code.
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

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doi.org/10.1101/2020.04.05.20054460
doi.org doi.org

https://doi.org/10.1101/2020.04.04.20053595

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.04.20053595: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: Thank you for sharing your code and data.
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.04.04.20053595
doi.org doi.org

https://doi.org/10.1101/2020.04.05.20053769

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.05.20053769: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: This study was approved by the Ethics Committee of the hospital.<br>Consent: All subjects signed informed consent forms at admission to hospital.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Statistical methods: In this study, GraphPad 8.01 software was used for data statistics and mapping.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

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doi.org/10.1101/2020.04.05.20053769
doi.org doi.org

https://doi.org/10.1101/2020.04.04.20053280

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.04.20053280: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: The study was approved by the Ethics Committee of the First Hospital of Jilin University, Changchun Infectious Disease Hospital and Siping Infectious Disease Hospital.<br>Consent: Written informed consent was waived in review of the emergency need to collect clinical data.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Limitations of this study: Disadvantages are as follows: (1) there were 59 cases enrolled in the present study and the sample size may be not very large. Nevertheless, given that Jilin province is the least affected area in China, this study covered approximately 70% of diagnosed cases in Jilin province, in addition to longitudinal measurements of laboratory tests had been collected, these rendered the sample size of this study adequate for reliable statistical estimations; (2) the data of clinical manifestation in the patients with COVID-19 was not included since this study mainly focused on the temporal trajectories of laboratory findings.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.04.04.20053280
doi.org doi.org

https://doi.org/10.1101/2020.04.05.20054254

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.05.20054254: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">This dataset of PubChem Bioassay assigned AID 1706 contains around 290893 compounds as one activity set and they are the inhibitors of SARS coronavirus 3C-like Protease in the cells.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>PubChem</div><div>suggested: (PubChem, RRID:SCR_004284)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">This process is done by self-written python code to split as per the conditions.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>python</div><div>suggested: (IPython, RRID:SCR_001658)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

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doi.org/10.1101/2020.04.05.20054254
doi.org doi.org

https://doi.org/10.1101/2020.04.05.20053884

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.05.20053884: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">We plotted the trendline for the real data using Microsoft Office Excel 2007, and used the equation of the curve to find out the trend of β in India in the present day scenario by comparing it to equation 4.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Microsoft Office Excel</div><div>suggested: (Microsoft Excel, RRID:SCR_016137)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.04.05.20053884
doi.org doi.org

https://doi.org/10.1101/2020.04.05.20054155

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.05.20054155: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">According to the pre-determined protocol, we systematically searched PubMed and Embase for eligible reports (search terms are listed in Web Appendix 1).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>PubMed</div><div>suggested: (PubMed, RRID:SCR_004846)</div></div><div style="margin-bottom:8px"><div>Embase</div><div>suggested: (EMBASE, RRID:SCR_001650)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Data collection and quality assessment: The same eight reviewers collected relevant data elements from each identified publication and recorded in Microsoft Excel (Microsoft Corporation, Redmond, Washington, USA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Microsoft Excel</div><div>suggested: (Microsoft Excel, RRID:SCR_016137)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">All analyses were conducted with Stata 14 or 15 (StataCorp, LLC, College Station, Texas, USA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>StataCorp</div><div>suggested: (Stata, RRID:SCR_012763)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Our study has some limitations. First, reflecting the fact that the outbreak started from China, most studies were from China. However, given similar case-fatality rates and clinical manifestations across different countries, it seems likely that these results are largely generalizable. Nonetheless, we need to acknowledge regional variations of some risk factors (e.g., ∼25-fold difference in the prevalence of smoking in men vs. women in China45) and thus future investigations in different regions would be valuable. Second, we did not include non-English publications. Third, most studies reported odds ratios, which are known to overestimate risk ratio when the prevalence of exposures is relatively high. Fourth, we cannot deny the possibility that some patients were included in multiple studies especially in the China CDC report17 and other Chinese studies. Nonetheless, the pooled estimates were largely similar in analyses that excluded the China CDC data (data not shown). Finally, the literature of COVID-19 is growing rapidly, and thus there is a lag time from our literature search and publication. On the other hand, our systematic review has several strengths: in-depth review of CVD and its risk factors, a clinically relevant definitions of severe COVID-19 that minimize subjective reporting, careful consideration of potential overlap of patients by conducting restrictive and inclusive meta-analyses, meta-regression to explore potential confounding, and relatively short elapse...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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URL

doi.org/10.1101/2020.04.05.20054155
doi.org doi.org

https://doi.org/10.1101/2020.04.03.20052175

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.03.20052175: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">On each date, patients and their rooms, were randomly chosen for sampling.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  There are limitations in our study. Due to the possibly strong infectivity of the new virus, there was a need for quarantine and the wearing of inconvenient full PPE by our sampling operative, which might have affected his sampling operation. Moreover, we were only permitted to access the rooms of patients with mild symptoms. The number of collected air samples was also small.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.04.03.20052175
doi.org doi.org

https://doi.org/10.1101/2020.04.05.20053983

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.05.20053983: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Search strategy and selection criteria: A systematic search was carried out in databases (PubMed, Embase and Cochrane Library) to identify published studies included epidemiological studies and case-control studies.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>PubMed</div><div>suggested: (PubMed, RRID:SCR_004846)</div></div><div style="margin-bottom:8px"><div>Embase</div><div>suggested: (EMBASE, RRID:SCR_001650)</div></div><div style="margin-bottom:8px"><div>Cochrane Library</div><div>suggested: (Cochrane Library, RRID:SCR_013000)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Statistical analysis: The meta-analysis was performed using “metan” and “metaprop” programs in STATA version 11 (STATA, College Station, TX, USA) based on clinical characteristics of COVID-19 infection as input.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>STATA</div><div>suggested: (Stata, RRID:SCR_012763)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  In addition to the limiting number of studies included in this meta-analysis, another caveat is that all included studies were from China. The results of four studies showed that 61% of the affected family members also had the disease. Because of close contact with the patient’s aerosols, the patient’s family members are at greater risk. This meta-analysis showed that all pregnant women underwent C-section. It is not clear that the vertical transmission risk of 2019-nCov in C-section is lower than vaginal delivery (15). It seems that physicians think C-section is the better option for delivery. The surgery should be done in a negative-pressure operating room, and doctors should follow some protective measures like using a N95 mask, wearing a medical protective suit and goggles to avoid contamination with droplets from the surgical site (16). Our analysis showed that all pregnant women delivered live and healthy infants that were negative tested for 2019-nCov. This result indicates that the possibility of vertical transmission is very low, and performing intra-operative hygiene procedures and transferring the baby to an isolated ward will help to protect the baby from getting infected with COVID-19.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.04.05.20053983
doi.org doi.org

https://doi.org/10.1101/2020.04.02.20050153

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.02.20050153: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.02.20050153
doi.org doi.org

https://doi.org/10.1101/2020.04.02.20050914

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.02.20050914: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: We found the following clinical trial numbers in your paper:<br><table><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Identifier</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Status</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Title</td></tr><tr style="background-color:#FF0000"><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">NCT12345678</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Trial number did not resolve on clinicaltrials.gov. Is the number correct?</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">NA</td></tr></table>
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.02.20050914
doi.org doi.org

https://doi.org/10.1101/2020.04.06.20045393

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.06.20045393: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.06.20045393
doi.org doi.org

https://doi.org/10.1101/2020.04.03.20048389

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.03.20048389: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: Checklist for Reporting Results of Internet E-surveys was adhered to.[5] Exemption from review was obtained from the institute ethics committee (2018-62-IP-EXP) of SGPGIMS, Lucknow as per local guidelines.[</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Mhaskar et al. have reported 73% concordance between decision analysis driven by expert consensus with evidence gathered from RCTs.[17] Considering the potential limitations of generating evidence in the face of a global crises, it might be imperative to embark on a Delphi exercise to generate expert-opinion, while data from COVID-19 rheum registries in progress is awaited.[18] The present survey provides perspectives on rheumatology care during the COVID-19 pandemic from a single country and the response rate was modest, albeit represents the viewpoint of a large number of rheumatologists. The findings of the survey may help shape future evidence-based opinions on managing patients with IS during COVID-19 pandemic.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.03.20048389
doi.org doi.org

https://doi.org/10.1101/2020.04.05.20050245

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.05.20050245: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.05.20050245
doi.org doi.org

https://doi.org/10.1101/2020.04.04.20052928

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.04.20052928: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.04.20052928
doi.org doi.org

https://doi.org/10.1101/2020.04.07.20054585

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.07.20054585: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: This study has been approved by the Ethical/Institutional Review Board of Taizhou Public Health Medical Center and Westlake University.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">Serum samples of four patient groups from both training and validation cohorts were randomly distributed in eight different batches.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Digested peptides were cleaned-up with SOLAμ (Thermo Fisher Scientific™, San Jose, USA) following the manufacturer’s instructions, and lableled with TMTpro 16plex label reagents (Thermo Fisher Scientific™, San Jose, USA) as described previously.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Thermo Fisher Scientific™</div><div>suggested: (Thermo Fisher Scientific, RRID:SCR_008452)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The resultant mass spectrometric data were analyzed using Proteome Discoverer (Version 2.4.1.15, Thermo Fisher Scientific) using a protein database composed of the Homo sapiens fasta database downloaded from UniprotKB on 07 Jan 2020 and the SARS-CoV-2 virus fasta downloaded from NCBI (version NC_045512.2).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Proteome Discoverer</div><div>suggested: (Proteome Discoverer, RRID:SCR_014477)</div></div><div style="margin-bottom:8px"><div>UniprotKB</div><div>suggested: (UniProtKB, RRID:SCR_004426)</div></div><div style="margin-bottom:8px"><div>NCBI</div><div>suggested: (NCBI, RRID:SCR_006472)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">From the training cohort, the important features were selected with mean decrease accuracy larger than 3 using random forest containing a thousand trees using R package randomForest (version 4.6.14) random forest analysis with 10-fold cross validation as binary classification of paired severe and non-severe group using combined differentially regulated proteins and metabolites features.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>randomForest</div><div>suggested: (RandomForest Package in R, RRID:SCR_015718)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The top Gene Ontology (GO) processes were enriched by Metascape web-based platform (Zhou et al., 2019).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Metascape</div><div>suggested: (Metascape, RRID:SCR_016620)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The GO terms is enriched using the Cytoscape plug-in ClueGO (Bindea et al., 2009).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Cytoscape</div><div>suggested: (Cytoscape, RRID:SCR_003032)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.07.20054585
doi.org doi.org

https://doi.org/10.1101/2020.04.02.20051565

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.02.20051565: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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sciscore

URL

doi.org/10.1101/2020.04.02.20051565
doi.org doi.org

https://doi.org/10.1101/2020.04.07.20053660

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.07.20053660: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Data and Test: The positive Likelihood Ratio (LR+) of IgM and IgG in suspected cases for nucleic acid positive patients was calculated mainly by reinterpreting the data in the article “Diagnostic Value of Combined Detection of Serum 2019 novel coronavirus IgM and IgG Antibody in novel coronavirus Infection”, According to the relevant data in “novel coronavirus Nucleic Acid Detection and Analysis of Combined Infection Results of 8274 Subjects in Wuhan Area”, the posterior probability of IgM and IgG antibody detection alone and in series for diagnosis of nucleic acid positive patients was calculated.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>IgG</div><div>suggested: None</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.07.20053660
doi.org doi.org

https://doi.org/10.1101/2020.04.06.20052522

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.06.20052522: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.06.20052522
doi.org doi.org

https://doi.org/10.1101/2020.04.08.20054551

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.08.20054551: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Observational healthcare databases mapped to the Observational Medical Outcomes Partnership (OMOP) common data model collaborated in an international effort with the Observational Health Data Science and Informatics (OHDSI) community.37,38 De-identified or pseudonymised data were obtained from routinely collected records from clinical practice in Germany, Spain, the UK, Japan, and the USA.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Observational healthcare</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Studies were performed locally and no patient level data shared using the following databases: IQVIA Disease Analyser Germany EMR (ambulatory EMR from Germany); JMDC (Japanese claims); IPCI (primary care EMR from Netherlands); SIDIAP (primary care EMR from Spain); CPRD and IMDR (primary care EMRs from UK); and CCAE, Optum, MDCR, MDCD, PanTher, IQVIA OpenClaims, Veteran Affairs (VA), and IQVIA US Ambulatory EMR (USA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>PanTher</div><div>suggested: (PANTHER, RRID:SCR_004869)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">For the cohort analysis, the CohortMethod package was used (https://ohdsi.github.io/CohortMethod/) using a large-scale propensity score (PS) constructed through the Cyclops package (https://ohdsi.github.io/Cyclops).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>CohortMethod</div><div>suggested: (CohortMethod, RRID:SCR_018511)</div></div></td></tr></table>
  Results from OddPub: Thank you for sharing your code and data.
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Another potential limitation in this study is the potential for patients to be included in more than one dataset in the US. Whilst we ran meta-analysis, which assume populations are independent, we wish to highlight we are likely to under-estimate variance in our meta-analytic estimates. The comparative new user cohort studies are anchored in patients using HCQ for RA, who therefore are likely to be using HCQ at a lower dose than is currently being proposed for use in the treatment of COVID-19. We have taken into consideration that patients with RA taking HCQ may also have further auto-immune conditions such as systemic lupus erythematosus (SLE) and therefore generate the potential for confounding by indication.50 We therefore ensured that when investigating covariate balance after propensity score stratification and matching and before unblinding study results, that we did not see unbalanced proportions of patients with a diagnosis of SLE between the groups. Negative control outcome analyses also did not identify any residual unobserved confounding in the PS analysis. Whilst patients with RA may have greater levels of comorbidities than the general population, the age and demographic profile of patients developing cardiovascular complications described in both the systematic review and FAERS database suggests that complications are not only restricted to those with multimorbidity.48 However, absolute risk in our study should be interpreted cautiously since patients with RA a...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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URL

doi.org/10.1101/2020.04.08.20054551
doi.org doi.org

https://doi.org/10.1101/2020.04.09.20056325

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.09.20056325: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Antibodies</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The assay is based on a double-antigen sandwich principle that detects total antibodies binding SARS-CoV-2 spike protein receptor binding domain (RBD) in human serum or plasma.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SARS-CoV-2 spike protein receptor binding domain ( RBD</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">In two separate semi-quantitative ELISAs, either IgA or IgG antibodies against SARS-CoV-2 spike protein subunit 1 (S1) are detected in human serum or plasma.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>IgA</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>SARS-CoV-2 spike protein subunit 1</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Point-of-care (POC) tests: Six POC tests for rapid detection of antibodies in blood, serum or plasma were evaluated: 2019-nCOV IgG/IgM Rapid Test (Dynamiker Biotechnology, Tianjin, China Cat # DNK-1419-1), OnSiteTM COVID-19 IgG/IgM Rapid Test (CTK Biotech, Poway, CA, USA; Cat # R0180C), Anti-SARS-CoV-2 Rapid Test (AutoBio Diagnostics, Zhengzhou</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>2019-nCOV IgG/IgM Rapid Test ( Dynamiker Biotechnology , Tianjin ,</div><div>suggested: None</div></div><div style="margin-bottom:8px"><div>Anti-SARS-CoV-2</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">, Coronavirus Diseases 2019 (COVID-19) IgM/IgG Antibody Test (Artron Laboratories, Burnaby, Canada; Cat # A03-51-322), 2019-nCoV IgG/IgM Rapid Test Cassette (Acro Biotech, Rancho Cucamonga, CA, USA; Cat # INCP-402), and 2019-nCoV IgG/IgM Rapid Test Cassette (Hangzhou Alltest Biotech, Hangzhou, China; Cat # INCP-402).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>2019-nCoV IgG/IgM</div><div>suggested: None</div></div></td></tr><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The clinical accuracies of the ELISA assays were examined by using Receiver Operator Characteristic (ROC) plots with GraphPad Prism version 8.0.2 (GraphPad Software, San Diego, CA, USA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>GraphPad Prism</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div><div style="margin-bottom:8px"><div>GraphPad</div><div>suggested: (GraphPad Prism, RRID:SCR_002798)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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URL

doi.org/10.1101/2020.04.09.20056325
doi.org doi.org

https://doi.org/10.1101/2020.04.06.20055244

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.06.20055244: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: Thank you for sharing your code.
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.06.20055244
doi.org doi.org

https://doi.org/10.1101/2020.04.07.20057356

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.07.20057356: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The data were gathered by Google from users who have enabled the Location History setting on their accounts and were the same data used by Google Maps to track human traffic at various restaurants and other locations.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Google Maps</div><div>suggested: None</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Our study has a number of limitations. First, the Google database is not based on the universe of all smartphone users and it only includes those individuals who have enabled the Location History setting on their account. However, given that around 90 percent of users keep their location services on (“Smartphone Users Keep Location Services Open”, 2020), our estimates should not be largely affected. Similarly, the data are imperfect since they don’t include people without smartphones and those who don’t carry their phones to certain places. However, this should not affect changes in recorded behavior and is expected to have little impact on our results. Finally, it is worth noting that measuring the effectiveness of social distancing policies based on confirmed cases hinges on how the tests are conducted in different states, requiring more than controlling for just the number of conducted tests that we used in this study. This problem can be in part mitigated by analyzing the policy effects on the number of COVID-19 deaths. Given that the median time from infection to death is reported to be close to 17 days, and since many states have issued their strongest policies in the last week of March, that study needs to wait until enough reliable data are collected.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.04.07.20057356
doi.org doi.org

https://doi.org/10.1101/2020.04.07.20057315

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.07.20057315: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Cell Line Authentication</td><td style="min-width:100px;border-bottom:1px solid lightgray">Contamination: Based on laboratory pathogen identification results including 2019 novel coronavirus, influenza A, B (INF A, INF B), respiratory syncytial virus (RSV), mycoplasma pneumoniae (MP), and bacteria, all cases were divided into the COVID-19 confirmed group and the non-COVID-19 group.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">SPSS Inc, Chicago, IL).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  However, this method had its limitations, such as false positive or false negative results, time consuming, false sampling, inconsistence of sample collections and preparations. Most importantly, the inaccuracy of RT-PCR method caused problems in timely triage, isolating the source of infection, the following reasonable treatment, early removal of isolation, and improvement of psychological stress in children. In addition, CT changes in novel coronaviral pneumonia are nonspecific and difficult to differentiate from other viral infections [6,11]. Therefore, it is necessary to start from other clinical features and laboratory data, independent of nucleic acid detection and chest CT, to provide a basis for early differential diagnosis. As a viral infection, it is obvious that children are especially susceptible to COVID-19. Most of the infected children we observed are asymptomatic or mildly febrile and or symptoms of ARI [3,15]. However, the changes of chest CT are very typical of viral pneumonia [11], which is consistent with the results of other relevant reports. Also, from the COVID-19 cases with coinfection, they all had fever and symptoms of ARI, chest CT findings of viral pneumonia were also typical. Therefore, COVID-19 with other viral coinfections may be more common in children [6]. Pediatric patients should be alert to the possibility of coinfection if severe symptoms appear. Compared with other non-bacterial pathogens, COVID-19 has more family cluster infections, whic...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.04.07.20057315
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https://doi.org/10.1101/2020.04.08.20057729

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.08.20057729: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Second, data mining for a final enlarged dataset was done on the pages of the official national health agencies, Wikipedia, and within the data mining community on GitHub using archived webpages if necessary in order to enable a large-scale cross-country assessment and comparison of IFR-values.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Wikipedia</div><div>suggested: (Wikipedia, RRID:SCR_004897)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Even if countries would either go through periods of rapid test rate growths or experience limitations with their testing capacities, the distortion provoked will not lead to huge uncertainty ranges by a substantial unknown error propagation. Correcting CFRs with f is capable of harmonizing differences in CFRs between countries that would otherwise be difficult to explain. Amongst these candidate countries are Japan, South Korea, Iceland, and Norway, which have done meticulous work in dealing with their testing data, protocolling everything transparently and timely, to the public, and moreover, which have strong economies and strong health care systems to cope with the current pandemic. Amongst those, that report their testing data almost in real time and comprehensively, is Pakistan. Pakistan is a country, which seems to fall out of the range of IFRs, with an IFR of 0.007 that is roughly 10-fold lower than the one reported for the so-called developed countries. Since testing was reported transparent and timely, it is important to understand, whether this extremely low IFR figure reported in Table 3 could be possibly realistic, or not. Population statistics of this country compared to any of the developed countries is very informative with this regard. As of 2018, 6.7% of the population in Pakistan were over 60 years old and 45% were younger than 20. In Germany 19 % were younger than then 20 years old, 29% were older than 60 years. The CFR for people aged 60-69 compared to pe...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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doi.org/10.1101/2020.04.08.20057729
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https://doi.org/10.1101/2020.04.08.20057471

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.08.20057471: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: We found the following clinical trial numbers in your paper:<br><table><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Identifier</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Status</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Title</td></tr><tr><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">NCT04290780</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Recruiting</td><td style="min-width:95px; border-right:1px solid lightgray; border-bottom:1px solid lightgray">COVID-19 - Multicenter Study on Nosocomial Transmission of S…</td></tr></table>
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.04.08.20057471
doi.org doi.org

https://doi.org/10.1101/2020.04.06.20053124

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.06.20053124: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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URL

doi.org/10.1101/2020.04.06.20053124
doi.org doi.org

https://doi.org/10.1101/2020.04.07.20051060

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.07.20051060: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: The study was approved by the ethics committee of NPFH (202002050).<br>Consent: With the patient’s oral consent, we gave them lung</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">All the results of each physician were recorded in sheet, then summarized and normalized by two graduate students who were blinded to patient information.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">In addition to the result judgments of respiratory doctors, the above audio is also graphically displayed and quantitatively described by means of signal analysis using Matlab R2019, v9.6.0 (MathWorks, USA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Matlab</div><div>suggested: (MATLAB, RRID:SCR_001622)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">These statistical analyses were performed using SPSS version 13.0 (SPSS Inc, USA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SPSS</div><div>suggested: (SPSS, RRID:SCR_002865)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  At the same time, there are limitations in this study. Since the results of auscultation are mostly based on personal experience, we did not perform statistical analysis such as the sensitivity, specificity and other indicators of diagnostic test due to lacking effective gold standard. In addition, this is a small observed research, and only the lung breath sounds of the patients are collected at the time of admission. No follow-up research was conducted. This investigation complements the existing clinical data of COVID-19, which provides a convenient screening method. It is hoped that public health workers around the world will be able to use electronic stethoscope to increase the detection rate of mild and asymptomatic patients, reduce their own infection risk, and allow remote treatment to help fight the epidemic.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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URL

doi.org/10.1101/2020.04.07.20051060
doi.org doi.org

https://doi.org/10.1101/2020.04.07.20057299

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.07.20057299: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Strengths and limitations: As far as we know, this is the first study to report factors affecting the length of stay of COVID-19 from a province in China. We used the original data in Sichuan Province, a place with a size that is comparable to Germany, and more than that of most European countries such as Britain and Italy in population, and per capita gross domestic product is less than 50 thousand yuan, lower than that of most European countries 30. According to the research results, our study is a novel finding to make recommendations for policies, measures and strategies.31 We believe that the results of this study can serve as a practical reference for global control of COVID-19 under situations of a global pandemic and shortages of medical resources. There are some limitations of the study. First, there may be other factors that affect the length of stay that are not included in the analysis, such as whether the diagnosed patient has underlying diseases. Second, this study did not further divide the confirmed cases of COVID-19 into imported or local cases, in order to obtain more detailed inpatient characteristics.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

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doi.org/10.1101/2020.04.07.20057299
doi.org doi.org

https://doi.org/10.1101/2020.04.08.20040907

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.08.20040907: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  This study has some limitations. First, we trained our model on a limited number of cases, from the same geographical area. We could improve performances and generalizability of our model by adding new images, in particular from different geographical regions than Lombardy. Second, the external validation set was only temporally separate but not geographically separate from the training one and also relatively small. Third, we did not include other data such as clinical conditions such as symptoms and pulse oximeter data as complementary information to be given to the AI model and the human readers, a perspective to be explored in future studies. In conclusion, we preliminarily showed that a CNN-based AI system applied to bedside CXR in patients suspected to be infected with COVID-19, even though trained on a limited number of cases, enable to reach a 0.80 sensitivity and a 0.81 specificity in an independent temporally separate patient group. The system could be used as a second opinion tool in studies aimed at assessing its usefulness for improving the final sensitivity and specificity in different geographical and temporal setting. Its performance could be improved by training on larger multi-institutional datasets.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.08.20040907
doi.org doi.org

https://doi.org/10.1101/2020.04.06.20042580

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.06.20042580: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: Ethics approval for analysis of all data collected was waived by hospital Institutional Review Boards, since all patient data collected conformed with the policies for a public health outbreak investigation of emerging infectious diseases issued by the National Health Commission of the People’s Republic of China.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Serum cytokine levels (IL-2, IL-4, IL-6, IL-10, TNF-α, IFN-γ) were assayed using the BD Biosciences Th1/Th2 cytokine kit, as per the manufacturer’s instructions (BD Ltd., Franklin Lakes, NJ, USA) and peripheral blood cell populations enumerated using a BD FACSCanto Plus flow cytometer as per the Union Hospital’s routine clinical laboratory protocols.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>BD Ltd.</div><div>suggested: None</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  This retrospective study has several significant limitations. Most obvious is the fact that the study cohort was small, non-randomized, with unbalanced demographics between treatment arms that were of unequal size. However, we considered this an exploratory study only, with the objective of determining in as rapid a manner as possible if a full trial should be considered. The results indicate that an IFN-α RCT is now warranted. Furthermore, since the entire cohort consisted only of moderate cases of COVID-19 disease, our findings may not be indicative of what occurs in more severely ill patients; such caution about generalizability is indeed further supported by the lack of impact of age, sex and comorbidities on the course of COVID-19 disease in our cohort, as all these have been shown to influence clinical course.15 Irrespective of these significant limitations, to our knowledge, the findings presented here are the first to suggest therapeutic efficacy in COVID-19 disease of IFN-α2b, an available antiviral intervention. Furthermore, beyond clinical benefit to the individual patient, treatment with IFN-α2b may also benefit public health measures aimed at slowing the tide of this pandemic, in that duration of viral shedding appears shortened.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
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sciscore

URL

doi.org/10.1101/2020.04.06.20042580
doi.org doi.org

https://doi.org/10.1101/2020.04.05.20054346

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.05.20054346: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.05.20054346
doi.org doi.org

https://doi.org/10.1101/2020.04.07.20056234

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.07.20056234: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Similar issues were reported early on in China, where testing could not be performed for all suspected cases due to limitations in capacity (13). In a recent study we demonstrated that a previously published TaqMan based SARS-CoV-2 RT-PCR assay, endorsed by ECDC and WHO, can be adapted to run on an automated batch-based high-throughput system, the cobas6800 (11). Utilizing this assay, more than 10,000 samples were tested for SARS-CoV-2 during the month of March 2020 while maintaining all other routine diagnostics in our laboratory, proving the potency of rapid automation to cope with massive surges in demand. However, taking into consideration sample registration, pretreatment, preparation of batches, and generating reports, it usually takes more than 5 hours before results can be made available to clinicians (14). Consequently, alternative workflows are required to enable fast-tracking of high-priority samples. The NeuMoDx 96 system is a fully automated RT-PCR platform, performing extraction, amplification and signal detection without requiring any human interaction. it provides random-access capabilities and turn-around times of 80 minutes for RNA targets. In this study we have adapted the SARS-CoV-2 RT-PCR assay by Corman et al. (6) for use on the NeuMoDx 96 automated system. Analytical and clinical performance was comparable to the cobas6800-based reference assay (11), showing an LoD of approximately 100 copies/ml and positive and negative agreement of 100% and 99.2% resp...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.07.20056234
doi.org doi.org

https://doi.org/10.1101/2020.04.09.20056291

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.09.20056291: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">To identify potential sources of heterogeneity, we did subgroup analysis according to the predefined criteria as follows: age (≥65 vs. <65), gender (male vs. female), hypertension (yes vs. no), diabetes (yes vs. no), COPD (yes vs. no) and CVDs (yes vs. no).</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Search strategy: We performed a literature search using the online databases of Web of Science, PubMed, Scopus, Cochrane Library and Google scholar for relevant publications up to 1 May 2020.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>PubMed</div><div>suggested: (PubMed, RRID:SCR_004846)</div></div><div style="margin-bottom:8px"><div>Cochrane Library</div><div>suggested: (Cochrane Library, RRID:SCR_013000)</div></div><div style="margin-bottom:8px"><div>Google scholar</div><div>suggested: (Google Scholar, RRID:SCR_008878)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The following medical subject headings (MeSH) and non-MeSH keywords were used in our search strategy: (“novel coronavirus” OR “severe acute respiratory syndrome coronavirus 2” OR “SARS-CoV-2” OR “COVID-19” OR “2019-nCoV”)</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>MeSH</div><div>suggested: (MeSH, RRID:SCR_004750)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">To facilitate the screening process of articles from databases, all literature searches were downloaded into an EndNote library (version X8, Thomson Reuters, Philadelphia, USA).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>EndNote</div><div>suggested: (EndNote, RRID:SCR_014001)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  The present study has some limitations. First, interpretation of our meta-analysis findings might be limited by the small sample size. However, by including studies conducted in different designated hospitals for COVID-19, we believe our findings are representative of cases in Wuhan, China. Second, our meta-analysis did not include data such as smoking history and body mass index, which are potential risk factors for disease severity and mortality.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.09.20056291
doi.org doi.org

https://doi.org/10.1101/2020.04.03.20051821

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.03.20051821: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.03.20051821
doi.org doi.org

https://doi.org/10.1101/2020.04.09.20049288

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.09.20049288: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.09.20049288
doi.org doi.org

https://doi.org/10.1101/2020.04.09.20056903

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.09.20056903: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Graphs were created with Prism.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Prism</div><div>suggested: (PRISM, RRID:SCR_005375)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  This conclusion is in line with experts in the field https://www.bbc.com/future/article/20200401-coronavirus-why-death-and-mortality-rates-differ, emphasizing that “the data is not from peer-reviewed research, but rather is almost real-time clinical data – which can be messy and come with many caveats”. The experts also underscore that “the lack of widespread, systematic testing in most countries is the main source of discrepancies in death rates internationally”. Indeed, it is the widespread testing and drastic quarantine measures for travelers that has led to exemplary flattening of the COVID-19 outbreak curve in Iceland https://www.icelandreview.com/ask-ir/whats-the-status-of-covid-19-in-iceland/, where there has never been a universal BCG testing policy in place. Additionally, the use of appropriate protective gear or personal protective equipment (PPE), especially in the healthcare setting has added to a similar success in South Korea and China https://www.thelancet.com/journals/lanres/article/PIIS2213-2600(20)30134-X/fulltext. The lack of strict home stay and distancing policy, however, has associated with a very recent surge of new COVID-19 cases in Japan https://abcnews.go.com/Health/coronavirus-live-updates-us-forces-japan-declares-public/story?id=69992372, in spite of the country having a universal BCG vaccination policy in place since 1942 (Supplementary Table 1). This surge follows a relatively prolonged flat curve of the outbreak since January 15th, 2020, which w...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.09.20056903
doi.org doi.org

https://doi.org/10.1101/2020.04.08.20057463

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.08.20057463: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  NIH rigor criteria are not applicable to paper type.
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">For Malaysia, daily data has been published by the STAR [25], Malaysiakini [26] and also by the Ministry of Health Malaysia [8-10].</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>STAR</div><div>suggested: (STAR, RRID:SCR_015899)</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

URL

doi.org/10.1101/2020.04.08.20057463
doi.org doi.org

https://doi.org/10.1101/2020.04.09.20057901

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.09.20057901: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">Consent: This study was conducted across two laboratory sites (Site 1 and Site 2) and had ethics approval from the Western Australian branch of the Australian Medical Association, with all participants providing informed consent.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">From power calculations assuming a significance level of 5% and a null hypothesis of low concordance between the HC and SC methods (H0: κ=0.3), there was at least 80% power to detect a concordance of 0.6 or more with a sample size of 66.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Limitations of this study include the limited number of positive SARS-CoV-2 patients and modest number of other positive respiratory virus cases with the exception of rhinovirus. Further data on self-collection would be helpful to confirm these findings. In the setting of limited resources, both in terms of PPE and health care workers, these findings may be important for other health services. Furthermore, we have instituted use of a single swab to sample both throat then nasal sites. This has the potential to preserve limited supplies of swabs and also provide additional efficiencies in the laboratory as only preparation of a single sample per patient is required.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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sciscore

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doi.org/10.1101/2020.04.09.20057901
doi.org doi.org

https://doi.org/10.1101/2020.04.08.20056929

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.08.20056929: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">IRB: Ethics statement: This study was reviewed and approved by the Institutional Review Board of the Icahn School of Medicine at Mount Sinai.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  <table><tr><th style="min-width:100px;text-align:center; padding-top:4px;" colspan="2">Software and Algorithms</th></tr><tr><td style="min-width:100px;text=align:center">Sentences</td><td style="min-width:100px;text-align:center">Resources</td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Additionally, a conserved region in the E-gene was chosen for pan-Sarbecovirus detection including SARS-CoV-2.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SARS-CoV-2</div><div>suggested: (Active Motif Cat# 91351, RRID:AB_2847848)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">For genomes sequenced on the PacBio Sequel II platform, high-quality (>Q20) circular consensus sequence (CCS) reads were first generated from raw subreads, using the SMRTLink analysis suite, v8.0 with a minimum of 3 passes.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>SMRTLink</div><div>suggested: None</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Trimmed reads were aligned to SARS-CoV-2 genome MN908947.3 using minimap2 version 2.17-r941 (Li 2018), and consensus sequence was called using Pilon v1.23 (Walker et al. 2014), allowing for all variant types (single nucleotide variants, small insertions/deletions, large insertions/deletions or block substitution events, and local misassemblies).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>Pilon</div><div>suggested: (Pilon , RRID:SCR_014731)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">The ML tree was inspected in TempEst for outliers that deviated from a temporal root-to-tip divergence (Andrew Rambaut et al. 2016).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>TempEst</div><div>suggested: (TempEst, RRID:SCR_017304)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Tree visualization and annotations were done in FigTree v1.4.4 (A.</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>FigTree</div><div>suggested: (FigTree, RRID:SCR_008515)</div></div></td></tr><tr><td style="min-width:100px;vertical-align:top;border-bottom:1px solid lightgray">Maps were created in ArcGIS Desktop using the ArcMap v10.6 application available through the Environmental Systems Research Institute (ESRI).</td><td style="min-width:100px;border-bottom:1px solid lightgray"><div style="margin-bottom:8px"><div>ArcMap</div><div>suggested: None</div></div></td></tr></table>
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  A limitation of our analysis is the relatively small number of isolates from cases identified in the first week of March 2020 which means that our model relies on inferences based on sequences deposited in the GISAID database. Since sequencing efforts vary by country, the fraction of sequences available by region/country is not necessarily representative of the number of cases reported for each of these regions. Thus, some of these inferences may change as more complete and representative SARS-CoV-2 sequences become available. Taken together, we provide a first analysis of the SARS-CoV-2 viral genotypes collected from patients seeking medical care. We find that New York City, as an international hub, provides not only a snapshot of the diversity of disease-causing SARS-CoV-2 at the global level but also informs on the dynamics of the pandemic at the local level. Future studies are needed to define viral phenotypes and explore the impact of the public health measures such as closing of educational facilities (March 18, 2020), closing of non-essential services (March 20, 2020) and stay at home orders (March 22, 2020) on community transmission.
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
Visit annotations in context

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sciscore

URL

doi.org/10.1101/2020.04.08.20056929
doi.org doi.org

https://doi.org/10.1101/2020.04.08.20058297

1
1. sciscore 23 Mar 2021
  
  in Public
  
  SciScore for 10.1101/2020.04.08.20058297: (What is this?)
  Please note, not all rigor criteria are appropriate for all manuscripts.
  Table 1: Rigor
  <table><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Institutional Review Board Statement</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Randomization</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Blinding</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Power Analysis</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr><tr><td style="min-width:100px;margin-right:1em; border-right:1px solid lightgray; border-bottom:1px solid lightgray">Sex as a biological variable</td><td style="min-width:100px;border-bottom:1px solid lightgray">not detected.</td></tr></table>
  Table 2: Resources
  No key resources detected.
  Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
  Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
  Nonetheless, there are limitations of this study. First, there were discrepancies in reporting and investigation across the countries/areas. Cases without reported occupational history could potentially lead to underestimation in the analysis. Second, the report date of a case could be different to the date of getting infected and having symptoms. However, the information bias should be non-differential as the official reports were not different between whether a case was work-related or not. Third, the criteria of deciding whom to be tested varied between countries/areas, especially during early outbreaks when testing capacities were limited. Therefore, high risk populations, including high risk occupations, might tend to be tested. However, we believe the bias was non-differential, as health authorities should not decide whom to be tested differently based on whether the suspected case was a worker or not. In fact, most of the early cases were tested because of the symptoms or obvious contact histories, instead of occupations [30]. Finally, we excluded all imported cases in the analysis. Travelers, however, could actually be business travelers, or other workers in travel-related industries, such as flight attendants, tour managers, and so on. Although workers of these occupations do have frequent contact with the public and have higher probability to be infected, our results could not demonstrate their risks and thus further studies on business travelers are warranted. In c...
  Results from TrialIdentifier: No clinical trial numbers were referenced.
  Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
  Results from JetFighter: We did not find any issues relating to colormaps.
  Results from rtransparent:
  Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
  Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
  No protocol registration statement was detected.
  <footer>
  About SciScore
  SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.
  </footer>
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doi.org/10.1101/2020.04.08.20058297

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