On 2021-02-24 22:16:27, user Long Nguyen wrote:
Hello. This paper has been published at https://pubmed.ncbi.nlm.nih... <br /> Thank you!
On 2021-02-24 22:16:27, user Long Nguyen wrote:
Hello. This paper has been published at https://pubmed.ncbi.nlm.nih... <br /> Thank you!
On 2021-02-25 11:19:58, user Manuel Riegner wrote:
Have the participants of the control group been symptomatic or asymptomatic ?<br /> What kind of symptoms did they include in their study ? ( The Oxford study with Astra Zeneca did not include gastrointestinal symptoms neither fatigue, muscle pain, headache or any psychological symptoms ).
On 2021-02-25 15:12:43, user jubel wrote:
"It was estimated that 80% (95% CI 65-92) of the patients that were infected with SARS-CoV-2 developed one or more long-term symptoms." – do these 80% refer only to infected people who were hospitalized, or are mild cases (no hospitalization) included? That would be very important to know.
On 2021-02-27 22:24:10, user ABO FAN wrote:
The latest version, version 3, seems to have the wrong reference number. For example, in the text, No. 11 is supposed to be a GTTC document that started in July 2020, but the corresponding MHLW page is from April 2020.<br /> Also, I do not think it is appropriate to use regression analysis to examine the effect of Emergency status. This is because even if an Emergency status is declared "after" the mobility and R(t) start to decrease, it will still be statistically significant. Figure 4 suggests that this is the case.
On 2021-03-01 19:34:43, user Alexander Buell wrote:
Dear authors,
my students and I have studied your paper in our course at DTU (Quantitive analysis and modelling in protein science). We have reproduced some of your analysis and we have noticed something that we wanted to hear your views on. In the methods section you mention that "For the MAAP measurements, varying fractions of human plasma samples were added to a solution of the antigen of concentrations varying between 10 nM and 150 nM..." At the same time, if we look at the red and yellow binding curves in Figure 2 a) they cannot have been measured at a RBD concentration above 100 pM. Indeed, we were unable to fit the data with a concentration of RBD higher than 100 pM or so.<br /> This would mean that you have added 99% serum and 1% labeled protein at 10 nM. Is this the case? Is the instrument really sensitive enough to get good signal at sub-nM concentration?<br /> Thanks in advance for your clarification!<br /> Alexander Buell<br /> Professor of Protein Biophysics at DTU
On 2021-03-02 06:39:50, user Azad Ghulam wrote:
Where is the supplementary material?
On 2021-03-02 13:11:50, user Syarranur Zaim wrote:
Hello, I’ve read the article and your article on vaccination was very enlightening. If possible, can you provide the code for your mathematical model and also the source of datasets for my reference.
On 2021-03-03 00:47:52, user Bin Jiang wrote:
Dear readers,
I am the corresponding author of this article. Please kindly notice this article has been published in the Environment International Journal. Please check out the article at the following two webpages:
Bin JIANG<br /> Ph.D., UIUC, USA<br /> Co-Chair, Research and Methods Track, Council of Educators in Landscape Architecture (USA)<br /> Founding Director, Virtual Reality Lab of Urban Environments and Human Health<br /> Associate Professor, Division of Landscape Architecture, Faculty of Architecture<br /> The University of Hong Kong, Hong Kong
On 2021-03-07 14:54:48, user Dr Ish Midha wrote:
Changing strains of SARS CoV -2 are pose big epidemiological and therapeutic challenge. Retinol has great impact on immunity and there is possible role of differences in retinol metabolism behind immune dysregulation that hallmarks severe Covid-19. During infections there is decreased mobilization of retinol stores as well as decreased conversion to active form ATRA.
Since there exist correlation between low circulating retinol level and severity of infections especially measles and supplementation of under 5 children with retinol is associated with decreased infection related mortality and morbidity.<br /> Thus, it may be interesting to assess serum retinol levels in patients with severe Covid-19 and study the impact retinol supplementation on outcome.<br /> If found favourable, supplementation at community level may augment circulating retinol level in population aborting the peak of on going peak of pandemic.<br /> Retinol supplementation being rapid acting and easy intervention may be of use during peak of pandemic.
On 2021-03-09 21:18:20, user Antonio Beltrão Schütz wrote:
In this meta-analisis, the I2 is very rise to be accept and CI to recovery time is, also, very big to be accept. Therefore, the results of this meta-analisis are not confiable. Is possible that personal interpretation of Grade parameters has contribute to increase I2
On 2021-03-11 13:20:03, user Yan Gp wrote:
Even if it seems obvious, may I suggest to indicate in your abstract that you're talking of Soluble ACE2 ?
On 2021-03-15 13:44:09, user Daniel Mølager Christensen wrote:
Congrats on an important and well-written paper. I'm particularly interested in your eTable 4d. It's an important analysis as it in my opinion seems unreasonable to compare hospitalized patients to a matched general population when investigating clinical sequalae. Seems like there would be conditioning on the future if COVID-19 hospitalization status was determined after time zero of follow-up. If that was not the case; how did you in that analysis handle patients that were hospitalized with COVID-19 after start of follow-up?
On 2021-03-17 14:25:05, user John Smith wrote:
Hi<br /> I look forward to seeing what you come up with for Turkmenistan who have 'officially' recorded no cases of Covid but more than 1000 deaths have been unofficially noted including that of one senior government official and hundreds of medical staff.<br /> The country also has a rule implemented that all grave markers must be flat so as not to be seen from the air which indicates high mortality trying to be hidden.
On 2021-10-23 08:34:43, user Leslie Viljoen wrote:
Is there any way to be notified when a preprint completes peer review?
On 2021-06-23 23:58:28, user ID9192 wrote:
Psychological stress is known to bring about several changes in the brain, and it is possible that people who contracted covid-19 were really stressed out and this may explain the changes in the brain.
On 2021-03-21 23:57:56, user M K wrote:
Run a PCR for the moderna mRNA. Did that get transferred as well?
On 2021-03-23 14:35:54, user Malcolm Semple wrote:
Hi Folk, Your search strategy missed "Features of 20 133 UK patients in hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: prospective observational cohort study. BMJ 2020; 369 doi: https://doi.org/10.1136/bmj... (Published 22 May 2020). This paper describes predictors of mortality, and describes length of stay. Other papers missed include all global ISARIC reports in MedRxiv. These alone would give you an additional samples size of 300,000 cases.
On 2021-03-24 00:01:30, user Elle wrote:
I'm surprised the paper doesn't discuss weight as a factor. If you look at the last figure, you'll see that nearly all categories are overweight (both controls and long haulers), with many with a BMI >30 (obese).
On 2021-03-24 05:27:18, user Eik Dybboe Bjerre wrote:
Dear Authors, Please find a comment to your paper here. On page 31, line 608-609. You write:" None of the 78 published articles from the 31 trials were free from incomplete, 609 inconsistent, or selectively reported outcomes". As I can see in your review of trials, the trial I were responsible for (The FC Prostate Community trial) only fail on 1 criteria, the ability to present a "statistical analysis plan (SAP) ". As per ICH-GCP guidelines and the detailed guideline from Cochrane on assessing bias then a SAP should be in place before unblinded data was accessed. In the FC Prostate Community trial. The data collection was fully done by a web-based system and all data was keept logged and confined. As stated in publications of the results);the trial randomised 1.participant in June (15th)2015 an the SAP was published in Nov 2015 on clinicaltrials.gov. No participants had at that time complete the full 6 month intervention period. The data had not accessed from the database I only have detailed knowledge on the trial I was responsible and I acknowledge that it is difficult to evaluate if the SAP was in place in a timely matter. It is of course an important aspect but as it is not possible to assess without contacting authors/trialist I suggest the author group to consider the judge on this domain. Also if you look at the COMPare project, this do not evaluate the SAP. <br /> Best regards<br /> Eik Dybboe Bjerre
On 2021-03-25 20:16:01, user Peter Novák wrote:
Seems, that nothing has stopped the paper from publication.
On 2021-04-02 11:10:37, user Rudy Faelens wrote:
It's obvious why, in the first wave, GP's didn't get higher infection rates. The physical exam was replaced by a pure telephonic anamnesis, diagnosis, and therapy. Pure horror. Unethical. <br /> Definitely safe for the GP, but at a severe sometimes lethal cost of false diagnoses and wrong therapies.
On 2021-04-09 15:15:15, user Martin Bleichner wrote:
We read this preprint in our journal club and have collected some comments I would like to share. <br /> Overall, we liked the approach and the straightforward message of the paper. <br /> Comments regarding the paradigm<br /> • Do you control somehow for word length? In the given example, “swift” is shorter than “swrfeq”. <br /> • Are word combinations repeated? I.e., do participants see ‘swift horse’ as well as ‘swrfeg horse’? In that case, participants may remember that they saw a similar item before. Hence, memory could play a role<br /> Controls and Patients<br /> • The ACE-R scores overlap between the two groups (range controls 83 – 100, range MCIR (64-99). Isn’t it then surprising that the results in figure 8 show such a good separation?<br /> Signal Analysis<br /> • The ERP subtraction was only done for the cap. Based on those results, it was concluded that it does not make a difference, and hence this approach was not used for the cEEGrid data. Since the segmentation of the ERP components depends on the data quality that differs between the two devices, this transfer might not be valid.<br /> • It is stated that the lexical retrieval effect is absent in the MCI-group, but in figure 3, the alpha rebound, for example, seems to be present in both groups to some degree. Furthermore, in figure 4, the main difference between the conditions (bottom TRF) is between 600 and 800 msec), i.e., exactly before the alpha rebound kicks in (around 800 msec figure 3). <br /> Comparison Cap cEEGrid<br /> For Figures 7 and 8, individual electrodes were used. It would be interesting to know how variable that was across subjects and how often the different electrodes were chosen. Furthermore, given that the results of the individualized electrodes and standard electrodes are comparable, it would be interesting to see the spectra of all channels. <br /> • The electrodes used for referencing and re-referencing are not completely clear to us. Unfortunately, different people use different names for the electrodes A layout-plot of the cEEGrids with indications of gnd, ref, etc. would be helpful.
Figures<br /> • The figures are difficult to compare to each other (different units [% signal change for the cap, but t-values for the cEEGrid] in same-colored color bar, different time axis, etc.) E.g., in figure 6 Top TRF x-axis is from 0 to 1.4, Bottom TRFs from 0 to 1. Figures are differently scaled along the x-axis.<br /> • Please indicate in the figures the important time points (word off-set, onset, etc.)<br /> • Explain the ROC-curve in detail. What data goes in exactly? Should be added to the method section.
On page 20 the is a space missing between “The” and “current”.
On 2021-04-13 09:35:53, user Economy Decoded wrote:
There are also claims that there have been cases of vaccine wastage and shortage in production funds. Massive exports have also been cited as one of the reasons for vaccine scarcity. India has exported 64 million doses of vaccines to 85 countries in the form of “gifts,” commercial agreements signed between the vaccine makers and the recipient nations, and under the Covax scheme, led by the World Health Organisation (WHO). The experts have pointed out that vaccine shortages have become a problem in some parts of India due to supply bottlenecks. They claimed that vaccine makers had oversold their capacities while taking orders from all over the world. The steadily rising cases of COVID-19 and the issues related to “vaccine scarcity” are significant challenges to making India free from COVID-19. There is an urgent need to plan and prioritize providing vaccinations to achieve the target of inoculating 400 million vaccine doses by July, as stated by the Ministry of Health and Family Affairs. This piece has also taken a look at the current shortage of vaccines India is facing: We Analysed Whether The COVID-19 Vaccine Shortfall Is Due To Exports Or High Domestic Consumption https://edtimes.in/we-analy...
On 2021-04-23 10:30:29, user Paul-Olivier Dehaye wrote:
Following criticism that the results announced do not match the data (for instance at<br /> https://pdehaye.medium.com/...<br /> or<br /> https://lasec.epfl.ch/peopl... )
the main author seems to now (2021.04.21) acknowledge problems.
From https://www.youtube.com/wat... :
“What I also need to mention here is... We do see this time advantage [but] this is also early[?] days. We have not been able to dissect each and every secondary survey. This is still ongoing, but what is kind of confusing is that about 8 of those 43 specifically mentioned that they received the exposure notification before they were called up by manual contact tracing. So there is an accumulation of those people in those groups but then you still have a few [sic, given it’s 35/43!?] where manual contact tracing was first and then exposure notification was second. So the picture is still a bit blurry, but overall I think we are getting closer and we are doing additional analysis”.
Note that, in accordance to the "Data/Code" section presented on medrxiv ("We are open to sharing individual participant data that underlie the results reported in this article, after de-identification upon reasonable requests to the corresponding author. Data requestors will need to sign a data access agreement."), the author of this comment has requested access to the data, but his request has not been acknowledged.
On 2021-05-02 07:00:13, user Peter McIntyre wrote:
This is an interesting and detailed analysis. One metric not provided is whether any identified infections arose from persons who had no travel history outside Australia. Such persons from NZ have not been required to quarantine on arrival in Australia so comparison of this metric would be helpful for policy assessment. A long and extensive list of potential interventions and/or policy changes to reduce or eliminate infections in MIQ is provided but their relative cost/ time to implement or difficulty not discussed. Vaccination is listed as only of value if transmission is eliminated - while this is the case if the target is no instances of infection in the context of a population unprotected by Immunization, once vulnerable populations are protected and risk of adverse outcomes from infection greatly reduced, this will have a major impact on the cost-effectiveness of a continued zero infection target and therefore on cost-effectiveness of listed interventions. <br /> Although this retrospective review is valuable, forward thinking is now needed to estimate future cost effectiveness
On 2021-05-04 17:36:43, user Patrick Boyle wrote:
This article is now accepted for publication by eLife: https://elifesciences.org/a...
On 2021-05-28 07:23:17, user Roger Morrison wrote:
If masks were effective against respiratory illnesses like the flu and Covid-19 the CDC would have recommended it years ago.
From the CDC "surgical masks won't stop the wearer from inhaling small particles which can cause infection. The CDC recommends a surgical mask ONLY for people who already show symptoms of coronavirus and must go outside since wearing a mask can ONLY help prevent spreading the virus by protecting others." [1.]
A study in November 2020 out of Denmark showed that masks do not stop the spread of Covid-19. "The researchers found no statistically significant difference between mask wearers and bare-faced participants." and "The recommendation to wear surgical masks to supplement other public health measures did not reduce the SARS-CoV-2 infection rate among wearers." [2.]
On March 5, 2021 the CDC put out a report which recommends wearing masks, however, the report also says "Daily case and death growth rates before implementation of mask mandates were not statistically different from the reference period." Then why the recommendation? [3.]
Center For Disease Control and Prevention - Time magazine 2020
Annals of Internal Medicine - Effectiveness of Adding a Mask Recommendation to Other Public Health Measures to Prevent SARS-CoV-2 Infection in Danish Mask Wearers<br /> https://www.acpjournals.org...
Center For Disease Control and Prevention - Association of State-Issued Mask Mandates and Allowing On-Premises Restaurant Dining with County-Level COVID-19 Case and Death Growth Rates — United States, March 1–December 31, 2020 | MMWR<br /> https://www.cdc.gov/mmwr/vo...
On 2021-05-29 00:24:49, user Bill Kelly wrote:
This is great information. While this is only a preliminary paper that has been submitted but not reviewed and accepted, the study looks solid. I might quibble with how cases are counted, but we're not going to get perfect counting because the counting was handled poorly. This study is consistent with many others that show that the masks are not effective at stopping the transmission of viral diseases.
On 2021-06-13 01:37:36, user Fisher Wright wrote:
The study shows that there is a negligible differential effect size of masks when not-very-large, different proportions of mask use (e.g. 65% vs. 75%) between populations occur. What the study doesn't show is there is no effect size from mask use. You would have to compare no use to use (e.g. 0% vs. 75%) between populations to do that.
Secondly, I have some skepticism concerning the main result since it didn't seem like they controlled for confounders. States with greater mask use may share other differences (e.g. denser urban areas with crowded housing) compared to states with lesser mask use. Did they simply assume these confounders would cancel out?
On 2021-06-03 12:03:42, user Sahan Laboratory wrote:
I think use of HCQ with Glychrryzin will be best for recovery of COVID patient. <br /> This type of study should be combined with other form which will provide best result for upcoming trials. <br /> Suggestion - Use of HCQ with Glychrryzin in treatment of Ventilated COVID19 patient.
On 2021-06-11 13:50:33, user Jay Alan Erdman wrote:
My apologies, I didn't see the full text so some of my criticism can be refuted. Nonetheless it is a chart review with not a very large N. And again, most importantly, it says nothing about current treatment.
On 2021-06-11 18:28:35, user lee_r wrote:
I see no indication of how many patients received the high doses of hydroxychloroquine and zinc, so it is impossible to tell how meaningful the results are. If 78.2% of the 255 patients died, that leaves only 55 or 56 who survived. Is the increased survival rate a function of the small number phenomenon, the drug regimen, both, neither?
On 2021-06-13 20:13:06, user Christopher Knittel wrote:
I would like to receive the underlying data and code for this paper. The paper states a CSV is available, but there are no contact details for the authors listed. Please let me know an email address that I can use to get access to the data. Thank you.
On 2021-06-05 13:34:28, user Gowtham Kumar wrote:
We were trying to access the scans available in Oasis-1 dataset but we were unable to open the scans because the extensions of the files are .nifti.img , if you have any idea to open this please help us.
On 2021-06-06 07:02:22, user Ju-Sheng Zheng wrote:
This work is now published in the Journal of Genetics and Genomics. 2021. doi: 10.1016/j.jgg.2021.04.002
On 2021-06-07 07:55:12, user David Curtis wrote:
The confounding effects of ancestry on genetic risk prediction are well established. See for example:
Polygenic risk score for schizophrenia is more strongly associated with ancestry than with schizophrenia. <br /> https://journals.lww.com/ps...
On 2021-06-08 03:28:15, user mengmeng Wang wrote:
one standard deviation (SD) is equal to ? natural log transformed random glucose mmol/L?
On 2021-06-08 18:41:47, user Keith Flippen wrote:
Was there tracking of HIV viral load and T cell count during the infection and are numbers known prior to COVID?
On 2021-06-09 16:25:27, user Aliya Amirova wrote:
The peer-reviewed paper is here: https://openheart.bmj.com/c...
On 2021-06-10 17:58:43, user Aliya Amirova wrote:
A blog post: https://aliyaamirova.medium...
On 2021-06-09 17:03:22, user Squid Tractor wrote:
Were all participants exposed to the live virus to ensure infection would have happened?
On 2021-06-09 22:00:05, user Dr Chad wrote:
This would coincide with virtually all other RNA respiratory viruses studied. I am surprised that the initial instinct seems to be resistant to recognizing that natural immunity would be inferior to induced immunity when we have no precedent to suggest that would be the case.
On 2021-06-14 00:01:49, user Lemarque wrote:
Hello, <br /> I have a doubt, it was not clear for me when the serological test was done. Looking for AZ numbers, its clear that the antibodies start to rise at week 3 or more, >15 days after vaccination with lower numbers in the timeframe 7 to 14 days (less than 50% had antibodies in this timeframe). The serological tests was made at the end of the timeframe or sorted during the timeframe (eg: 7 to 14 it was done on day 14, and 15 to 21 it was done on day 21)?
On 2021-06-14 23:51:06, user Mark Czeisler wrote:
Note from the authors:
This paper was published in Epidemiology and Psychiatric Sciences on 14 June 2021 following peer review. Below is a link to the article, along with the PubMed citation.
https://www.cambridge.org/c...
Czeisler MÉ, Wiley JF, Czeisler CA, Rajaratnam SMW, Howard ME. Uncovering survivorship bias in longitudinal mental health surveys during the COVID-19 pandemic. Epidemiol Psychiatr Sci. 2021 May 26;30:e45. doi: 10.1017/S204579602100038X. PMID: 34036933.
On 2021-06-17 16:40:52, user S Venkata Mohan wrote:
This pre-print has been peer-reviewed and published in ‘Environmental Technology & Innovation’, doi.org/10.1016/j.eti.2021.....
On 2021-06-22 14:30:04, user ibamvidivici wrote:
2 more questions:
you count the number of SARS-Covid-19 from the danish data base. Are in this database only symptomatic cases? Because if there are also asymptomatic cases (as it is in Germany), this has a high impact on the result. A Virus who is infecting a human cannot see, if this human is vaccinated or not, so the infection happens, whatever the human vaccination status is. Then the PCR test resluts should be nearly the same, however the vaccination status of the case/control group.
Table 2 shows the numbers for unvacc. and vacc. people. The time period for the unvacc. people is 54 days (=study time period). But the time period for the vacc. People is different, depends on the date when they got their vaccination. Is the different time period included in the Adjusted-VE calculations?
On 2021-06-26 16:12:33, user Daisy wrote:
Why on earth wouldn’t they include all age groups? Or at least those 60 and up, who have lower immune response.
On 2021-06-30 13:49:14, user Toksyuryel wrote:
Conclusion is poorly-worded. This study only looked into the potential for re-infection and the conclusion should reflect that. There are other studied benefits to vaccinating previously infected individuals and you should not imply to invalidate those with a study that looked into none of those benefits.
On 2021-07-01 17:46:23, user mehuldpatel wrote:
The published version is available at: https://jamanetwork.com/jou...
On 2021-07-03 05:01:14, user Covid wrote:
Is this pre-print going to be published on real peer reviewed journals?
On 2021-07-06 10:59:10, user Princess Aakuti wrote:
Great Read, first vaccine reporting clinical efficacy on detla
On 2021-07-07 22:42:55, user Leo G. wrote:
That confirms that mass vaccination with spike-only antigen streamlines the coronavirus evolution.
On 2021-08-15 14:53:19, user Johannes Hambura wrote:
The study authors found that the prevalence of mutations is higher in B cell epitopes than in T cell epitopes. They infer that vaccines that rely primarily on T cell immunity should confer protection more durable against the worrisome variants of SARS-CoV-2.<br /> It would be logical and consistent to assess this T cell immunity in unvaccinated and recovered Covid-19 patients, in order to better coordinate the strategy towards collective immunity.
The authors report, based only on 47 cases studied, that unvaccinated patients share significantly more genomic mutational similarities with the variants of concern than patients with a breakthrough infection.<br /> This finding is interesting, but it requires statistically significant evaluation and verification.<br /> Especially since<br /> - in vitro, the selection pressure imposed by the antibodies, induced by the vaccines, has led to the emergence of new variants of SARS-CovV-2 (1);<br /> - in vivo, the case of a severe and prolonged form of infection by SARS-CoV-2, treated with antibodies taken from convalescents, favored the appearance of a variant. The variants decreased when the treatment with the injected antibodies was stopped and reappeared with new doses of the injected antibodies. In the absence of the antibodies, the wild strains again became the majority (2).
In addition, the following findings by the authors tend to favor selective pressure exerted by vaccinations:<br /> - the diversity of SARS-CoV-2 lines decreases at country level with an increased rate of mass vaccination (negatively correlated with the increase in the rate of mass vaccination in the countries analyzed);<br /> - The decline in lineage diversity is coupled with the increased dominance of variants of concern;<br /> - vaccine breakthrough patients harbor viruses with significantly lower diversity compared to unvaccinated COVID-19 patients.
The question still remains open, whether vaccination should not be limited to only vulnerable people in the world population, in analogy with a risk calculator for the population proposed by American scientists (3).
On 2021-07-09 01:05:25, user Steven Scullion wrote:
Is this study connected in any way to the research being done by Cedars-Sinai: https://link.springer.com/a...
On 2021-07-16 09:48:28, user Šafo wrote:
Question: Do patients who have overcome the disease have the mentioned S-protein S1 in the body? Or only vaccinated people have S-protein in their body!
On 2021-07-17 15:00:07, user pfwag wrote:
The VAERS reported death toll is now almost 11,000.
In 2010 the Department of Health and Human Services (HHS) awarded a million-dollar grant to the Harvard Medical School to investigate the accuracy of the reporting. Their report concluded that “Fewer than one percent of vaccine adverse events are reported by the VAERS System.
https://digital.ahrq.gov/si...
As of July 16, according to VAERS, more people have died from the Covid-19 vaccinations than from all other vaccines in the previous 25 years combined. I wonder how many people have to die before the AEs become "serious"?
On 2021-08-10 22:41:16, user Ashley Derrick wrote:
I had covid in May of 2020. I had many long covid issues for months after - but the biggest issue was chest (heart and lung) pain. The symptoms included shortness of breath, burning sensation in the chest, difficulty getting a deep breath and feeling as if I was having a heart attack when more active (exercising). I went to both a heart specialist and a pulmonary specialist and nothing ever was found to be "wrong". The heart doctor was convinced it was inflammation in and around my lungs and heart that caused this. After 9 months, it went away (shortly before my first vaccine). I felt "normal" for about 4.5 months, but two weeks ago, the chest and heart issues came back. Same feelings. I am a fit 49 year old woman. Wondering if there are any studies that see symptoms going away and then months later coming back. Thanks -
On 2021-08-12 06:11:36, user Gabriele Pizzino wrote:
The study brings up relevant insights.<br /> I agree with Richard, uniformity of testing frequency is a potential confounding factor that should be taken into account.
Also, you may have a selection bias generated by vaccination policies, and timeline.<br /> I’m gonna use Italy to give you the idea: Pfizer was rolled out earlier, and in a much more massive way, than Moderna. The same was true for the AstraZeneca one.<br /> The Italian government gave priority to high-risk workers (especially health workers, and whoever was working into medical facilities or nursing homes), and to high-risk individuals (so elderly people, and/or people with severe underlying conditions).<br /> At the time, the choice was between Pfizer and AstraZeneca; considering Pfizer showed a better efficacy, and it was better perceived in terms of safety profile by the public, the very very large majority of those high-risk categories received the Pfizer shots.
That is a textbook-level selection bias, which could potentially affect the results in a significant way.<br /> I live in Italy, so I followed the vaccination process here much more closely; I don’t know if the same dynamics I described stand true also for the US, but I think it is worth to take a look and check it.
On 2021-08-12 19:49:26, user Steven Ramirez wrote:
From the preprint:
"Date of vaccination (bucketed). For a given individual in the mRNA-1273 cohort who<br /> received their first vaccine dose on a given date, only individuals in the BNT162b2<br /> cohort who were vaccinated on the same date or within two weeks after that date were<br /> considered for matching. This match helps to ensure that matched individuals reach their<br /> date of full vaccination (14 days after the second dose) on approximately the same date."
This seemingly addresses my point and effectively controls for diminution over time.
Perhaps an explicit sentence in the preprint would help clarify this point.
On 2021-08-12 17:18:46, user Iñigo Ximeno wrote:
Although the observation is very interesting, it does not lead to the conclusion that it is the most prudent thing to continue with indiscriminate vaccination in the middle of a pandemic when the vaccine does not prevent the transmission of the pathogen.
It is not relevant how many mutations are detected but the importance of them. It is obvious that among people with some immunity the mutations for which the antibodies can neutralize the virus will not be spreaded and therefore those will not be detected. However the mutations that can evade the immunity, even if they are few, will be more virulent and letal.
On 2021-08-12 20:58:05, user Raul Sanchez-Lopez wrote:
This article is now "in press" in Frontiers in Neuroscience:<br /> https://www.frontiersin.org...
On 2021-08-13 11:07:32, user BO Dong wrote:
This paper has been published elsewhere!!!<br /> https://celljournal.org/jou...
On 2021-08-14 05:50:28, user Brad Mellen wrote:
I assume the 167 infected people tracked in the study were previously vaccinated. Is it possible that antibody mitigated viral enhancement played a role in the increased viral loads? A study done by Wen Shi Lee et al in the Nature Microbiology volume 5, pages 1185–1191 (2020) noted the potential dangers of Covid 19 vaccinations could increase viral loads and ultimately increase the spread of Covid 19.
On 2021-08-18 16:51:05, user Diane Krall wrote:
We need data for severe COVID patients and reactogenicity. These patients had high dose steroids during their illness, which may be a confounding factor.
On 2021-08-18 17:39:03, user John Baron wrote:
The first sentence states that this is a study of individuals who underwent SARS-CoV-2 testing, presumably (though not stated) during the study period. Unless there was population testing surveillance in place, there must have been selection factors (e.g. COVID exposure or symptoms) prompting testing. This would bias estimates of infection rates upward, though the bias is unlikely to differ between vaccine groups and may not differ much between vaccinated and unvaccinated groups. Tthe relative infection measures might be OK.
In the "final" paper, it would be important to account for the usual cohort issues: censoring, movement out of the health care system, etc. Also, the first paragraph of the Methods section should include unvaccinated individuals.
On 2021-08-19 02:48:38, user Sheila Halpenny wrote:
I assume everyone responding here will use the same “logic” to apply to every other poll taken.
On 2021-08-09 21:26:26, user CdSS wrote:
Where can I get the reasons why PhDs answered "probaly not/definitely not"?
On 2021-08-21 17:14:03, user Alan wrote:
How will increased vaccination make a difference if the efficacy is as is being reported less than 50%? Once one is infected it does not appear to reduce one's odds of being hospitalized. So if the efficacy approaches zero, there would be zero benefit to being vaccinated, with the currently available vaccines.
On 2021-08-23 13:04:39, user Eyal Oren wrote:
I don't see any mention of vaccination status. Were these patients vaccinated or unvaccinated? Also the study would be stronger if comparison done to other patients in your catchment area vs CDC data (I believe that dataset is across US and not limited to Georgia?).
On 2021-08-25 16:22:39, user Sajjad Nasiri wrote:
I am wondering if you considered manually sniffing nasal saline irrigation?
On 2021-08-24 09:17:07, user Martin Steppan wrote:
A fundamental methodological caveat of this article is the date / season of sample collection. Breakthrough infection samples were collected in the sprjng-summer period of 2021 only (apr-jul), whereas unvaccinated samples seem to be predominantly from fall / winter 2020 (apr-dec). It has been shown in many studies that sars-cov-2 virions are temperature-sensitive and less active / infectious in warm environments. Hence, the results of this manuscript may reflect a seasonal pattern in infectivity. The authors may want to control for this statistically by either (1) using a matched design of samples from similar dates; (2) include historical temperature data for the Netherlands as a covariate / proxy for this likely bias. Due to this reason, the analyses in their current form do not rule out this bias, which casts doubt on the authors' implicit hypothesis that vaccination status moderates the link between viral load and infectiousness.
On 2021-08-26 11:54:58, user Gubbedefekt wrote:
Can someone confirm: what difference did it make if the natural immunity was acquired from a delta variant infection compared with one from another variant? Did the study look at this?
In any case the comparison looks devastating for Pfizer and other vaccine producers.
On 2021-08-26 18:20:25, user thestreetlawyer1 wrote:
Love to see this peer reviewed. Been really trying to determine what is the best move for me. Hard to put all the dogma and peer pressure aside (from both sides). I'm curious how this data reckons with u.s data on hospitalizations, seems most of our hosp cases are unvaccinated.
On 2021-08-28 19:52:31, user Catriona wrote:
“ individuals who were previously infected with SARS-CoV-2 and given a single dose of the BNT162b2 vaccine gained additional protection against the Delta variant.”
I’m confused. Didn’t your study show no significant difference for symptomatic infections in previously infected individuals with or without a single vaccination dose? Or did I get that wrong? The table says the previously infected and vaccinated odds ratio for symptomatic infection is 0.65 but confidence intervals were 0.34-1.25 and P value was 0.194.
In which case, exactly what were they protected against? Is there some sort of clinical significance regarding a positive PCR in the absence of any symptoms? Or are you implying that individuals can have atypical symptoms that can cause them health problems but aren’t recorded as symptoms? The study didn’t look at infectivity.
Are you claiming the vaccinated individuals were healthier in some way because they had fewer positive PCRs? Or are you claiming they did not pass on the Delta variant as often? Or was there something else that you meant by “additional protection against the Delta variant?”
Would love some clarification on these issues.
On 2021-08-27 11:08:39, user Lakesha Scout wrote:
Most people do not understand how their immune system works, and fall back upon the inept press as their inept narratives. Antibodies do not continue long term, as such a condition would in fact prove disastrous.
Long term immunity relies upon the creation of memory .. specifically memory B and T cells. These are the cells which identify later reemergence of a pathogen (such as SARS-CoV-2) in the body and mount a successful and rapid response to its demise.
There are two pathways to "Active" immunity (infection, and inoculation) <br /> Also there is "Passive" immunity which occurs through such things as a blood plasma infusion from a prior infected person who has existing antibodies. <br /> Any of these three paths, can provide immunity to a pathogen.
The false narrative being pumped by the media is that the only way to overcome a pathogen is through inoculation (vaccination).... that quite simply is not true, neither in medical sense nor in scientific sense. As a mater of medical fact, some inoculations (specifically mRNA) have been proven to enhance a pathogens capability to infect. This condition is known as Antibody Dependent Enhancement or (ADE).
On 2021-08-27 17:26:33, user Mohammad Ali wrote:
Please find the published article at BMJ Open here: https://bmjopen.bmj.com/con...
On 2021-08-03 22:35:32, user Gemma Hollie wrote:
Can you advise how many pregnant women / live births / still births there was during this period. Also, for moderate to severe disease, you report 45% for the delta variant. Can you advise, is this of the total 3371 women or the 1137 admitted due to symptoms of covid? <br /> Vaccine safety for pregnant women has not been well filtered down to health care professionals, therefore the uptake of women getting the vaccine has not high. Now more women are having the vaccine, i wonder if future results of women getting moderate to severe disease will continue to support recommending the vaccine. Will you be doing another study in the near futute to update the findings? Thank you
On 2021-08-04 16:08:46, user Sam Chico wrote:
They compare raw Ct values which are meaningless in qPCR testing and must be correlated with something, e.g. a dilutions series of positive control COVID RNA at the very least. Should really be related back to viral counts using plates and plaques.
This is very lazy research that only shows that vaccinated people can harbor detectable amounts of viral RNA, its quite a reach to say that implications of this data is to say that vaccinated people are infectious. The only way to do that without clearly and reproducibly demonstrating it is looking at the population level data.
Its irresponsible and borderline unethical to publish data like this, the MIQE guidelines made clear what publishable qPCR data should look like. These sorts of publications undermine the impact of properly performed studies with truly actionable data. The authors should know better.
On 2021-08-05 17:53:16, user Ultrafiltered wrote:
Not even peered reviewed and yet the authors and local news stations in Dane County are promoting and reporting on this paper. That sends a dangerous message to the public that anyone can write anything and its believable/credible. Seeing the other comments here on the fallibility of the PCR test, as CDC has called out and published authoritatively along with other FDA withdrawals of rapid assay test procedures, indicates mine and their comments are just as good as this paper. The authors should remember that information is like a match, it can burn a whole lot of people if left unchecked/ unqualified / uncontrolled.
On 2021-08-05 16:37:19, user circleofmamas wrote:
So by not being vaccinated, I am reducing my relative risk of a 'severe adverse event' by 74%. And my absolute risk to become a "case" is less than 4%, and severe COVID is 0.1%.
On 2021-08-09 18:06:43, user MJ wrote:
".....assuming that baseline mitigation measures of simple ventilation and handwashing reduce the second+ary attack rate by 40%".
Congress gave billions of dollars to upgrade schools, to properly fit them with the necessary equipment for proper ventilation/air purification. Schools have had a year to do it, yet it hasn't been done. Schools are going to be reopened in the next few weeks without proper mitigation strategies for airflow.. Schools will be a breeding ground for this virus, even scarier now that the transmission rate is triple what it was a year ago. Speaking as someone who was infected via classroom exposure, and still suffering effects from the virus, more needs to be done to protect and reduce the risk to the children and staff
On 2020-11-19 18:22:04, user Ivan Ivanov wrote:
Impressive work. It is probably misunderstanding but the authors use 10mM KCl/10mM NH4SO4 in the buffer for Bst 2.0 and they call it 1x Isothermal Buffer which infact is the commonly known ThermoPol buffer (optimal for Bst LF, not for Bst 2.0). NEB sells Bst 2.0 with Isothermal buffer containng 50mM KCl/10mM NH4SO4.
On 2020-11-20 02:26:46, user Prasad Kasibhatla wrote:
Interesting.. scaling reported median risk (2e-6) for individual touches by average touches per day (336), gives a transmission risk by fomites of 10-12% over a 6 month period (roughly length of pandemic ). Seems high .. so my scaling must not be appropriate. Any thoughts?
On 2020-11-23 23:12:54, user Louis Rossouw wrote:
Why does this paper compare mortality July 2019 to June 2020 to try and determine the impact "after" COVID-19 when the pandemic started in Feb-March 2020? So the "after COVID-19" of the title of the paper includes more time before COVID-19 than after the epidemic started?
The authors also do not allow for any changes in age distribution / popualtion mix that may be affecting observed mortality trends.
On 2020-11-25 07:42:20, user Carol Shadford wrote:
When you say 'continual sensation of having had a “nasal douche”' are you referring to a feeling that the sinuses have been cleared out and are now empty or is that referring to the rushing feeling you get when chlorinated water accidentally goes up your nose -- a wasabi-like feeling?
On 2020-11-26 05:48:46, user Community Medicine with velz wrote:
Re-infection can be defined only by viral genome sequencing. The implication of these results can be mis-leading as re-infection has been defined by RT-PCR in this study.
On 2020-11-27 19:21:54, user Jackie A wrote:
This work is useful because it is the first modeling paper reckoning IFN role in the disease - and an early administration of it could be beneficial, which is consistent with recent RTC for IFN-beta. However, it is built on rodents and the extrapolation to humans is not clear and not validated by tissue data extracted from humans. The authors assume that tissue viral loads correlate with organ failure which has not been demonstrated.
On 2020-11-27 21:02:26, user Robert Brown wrote:
Vitamin D, Magnesium, Steroids, PPI and COVID-19; Interactions and Outcomes - Response to ‘Effect of Vitamin D3 Supplementation vs Placebo on Hospital Length of Stay in Patients with Severe COVID-19: A Multicenter, Double-blind, Randomized Controlled Trial’ [Preprint] [1]
Thank you and congratulations on your important and significant paper. This is only the fourth[2] [3] [4] reported RCT examining vitamin D supplementation as a therapeutic intervention for COVID-19. Biology provides multiple pathways by which vitamin D hydroxylated-derivatives[5] may impact Covid-19 risks [including via; ACE2 receptors; airway-epithelial-cell tight-junction-function, immune responses [affecting lymphocytes, macrophages T cells, T helper cells, Th1, -17; Tregs; cytokine secretion IL-1, -2, -4, -5, -6 -10,-12; IFN-beta, TNF-alpha; defensins and cathelicidin, and receptors HLA-DR, CD4, CD8, CD14, CD38. Vitamin D also regulates; mitochondrial respiratory, inflammatory, oxidative and other functions; RXR and other receptor links between steroids, retinoids, hormonal vitamin D, thyroid hormone, oxidised lipids and peroxisomal pathway immune responses.][6]
Significant evidence [40+ patient-papers[7]] suggests higher Vitamin D status [serum/plasma 25(OH)D concentration] is associated with diminished COVID-19 infection rates,and reduced severity [including ICU admission and mortality].[2 3 4]
Thus, it is crucial, to consider if the preprint’s broad-based conclusion “Vitamin D3 supplementation does not confer therapeutic benefits among hospitalized patients with severe COVID-19”, [time to discharge as well as lack of observed ICU and mortality rate benefits], stands scrutiny when any one, or combination of, the following factors are considered: -
Delay in vitamin D administration after severe symptoms onset
Patients presented “10.2 days after symptoms”, thus were already verging on serious outcomes at admission; “89.6% required supplemental oxygen at baseline [183 oxygen therapy; 32 non-invasive ventilation] and 59.6% had computed tomography<br /> scan findings suggestive of COVID-19.” [Days to dyspnoea from overt infection average 7-8, and acute-respiratory-distress-syndrome [ARDS] develops after median 2.5 days.[8]]
Further, the timing of vitamin D supplementation, at or after <br /> hospitalisation, was not specified, despite timing clearly being an important factor, given the advanced stage of illness at admission.
Baseline vitamin D status [serum 25(OH)D concentrations] were relatively ‘good’
Baseline 25(OH)D values averaged 21.0ng/ml and 20.6ng/ml in the treatment and control groups respectively, i.e. they were relatively ‘good’, and above levels reported as being associated with the greatest COVID-19 risks.[9] [10]Sub-analysis of patients < 10ngml +/-Dexamethasone would be instructive. Further, deficiencies such as magnesium (an essential ‘D’ enzyme co-factor) might factor more in the lack of observed benefits for Covid-19 severity, than vitamin D status itself.
Corticosteroids
COVID-19 related corticosteroid vitamin ‘D’ interactions require<br /> investigation. 64.2%(Treatment) and 60.8%(Control) group patients respectively, were treated with Corticosteroids (Dexamethasone?), and mortality was somewhat higher in the Treatment than Control arm. Interactions between vitamin D and steroids including dexamethasone are observed[11], including “decreased synthesis of active vitamin D, and impairment of biological action at tissue level.”[12] However these potential effects have not been investigated in COVID-19 patients treated with both vitamin D and dexamethasone.
It would be most useful to know therefore, at what stage corticosteroid treatment began, and at what dosages, what other treatments were given [and at what dosage], and when such treatments were stopped, so that potential interactions between vitamin D, corticosteroids and other treatments for COVID-19<br /> patients could be elucidated.
In particular, any negative or neutralising effect of corticosteroids on<br /> ‘D’-derivatives and pathways, could account for the lack of reduction in risks of ICU and mortality outcomes, including slightly higher mortality, in those given vitamin D, a matter of importance, since dexamethasone, given before onset of serious ARDS, was reported in Oxford[13] to increase, not reduce, mortality.
Proton pump inhibitors.
PPI are known to lower serum magnesium,[14] an essential ‘D’ hydroxylase-enzyme co-factor. 47/120-(39%)[Treatment] and 49/120-40%[Control] used PPI, compared to 9.2% population usage in USA.[15] PPI-induced related serum magnesium reduction, +/- dietary insufficiency, is a reported COVID-19 risk factor,[16] thus possibly helping account, for D3 treatment, failing to reduce Brazilian Covid-19 mortality. Thought-provokingly a Brazilian paper reported “There is chronic latent magnesium deficiency in apparently healthy university students”, which deficiency is potentially more widespread.[17]
Conversely, RCT administration of magnesium with vitamin D reduced COVID-19 in-patient mortality.2
Rate of increase of Serum 25(OH)D
It is unclear when blood was sampled for determination of serum 25(OH)D concentrations, or if this was standardised for all patients.
A large bolus will increase 25(OH)D values in the healthy, “Oral D2 and D3 (100,000 to 600,000 IU) significantly increased serum 25(OH)D from baseline in all reviewed studies” . . . “peak levels were measured at 3 days (34) and 7 days following dosing,”[18]
However, timing matters, because hepatic hydroxylation5 to form 25(OH)D (Calcifediol) is likely reduced by; severe illness, as well as by obesity diabetes, and possibly hypertension,[19] conditions already recognised as risk factors for covid-19 severity.[20]
The Cordoba study[3] suggests that 25(OH)D [Calcifediol, that could be given together with vitamin D3, cholecalciferol], may be key to effective treatment of severe COVID-19 illness. There is no suggestion Cordoba patients were treated with corticosteroids. Cordoba patients were administered calcifediol on admission-day, but the period between overt infection and hospital admission <br /> was not reported.
Risk-factor Differentials in Patient Groups
A skew in risk factors favouring the control?
Control-Placebo to Treatment-D3:
Increased risk factors - Overweight (31/37, 0,84); Obesity (58/63, 0,92); Hypertension (58/68, 0,74); Diabetes II 35/49, 0,71); COPD (5/7,0,71); Asthma (7/8, 0,88); Chronic Kidney Disease (0/2, 0,0); Rheumatic Disease (10/13, 0,77)[21]; Black (14/20) Male 965/70).
Decreased factors - White (79/62) Female (55-50)
Improved oxygen parameters are not reflected in conclusion
“Despite the D3 group being at a greater risk, including due to hypertension, COPD and diabetes, known risk factors, significant differences in oxygen supplementation favour the D3 treatment group“.21
Oxygen supplementation (%) Placebo No. (%) D3 <br /> No oxygen therapy 9 (7.5) 16 (13.3)<br /> Oxygen therapy 97 (80.8) 86 (71.7)<br /> Non-invasive ventilation 14 (11.7) 18 (15.0)
Conclusion requires Caveats?
Thus, the un-caveated conclusion “Vitamin D3 supplementation does not confer therapeutic benefits among hospitalized patients with severe COVID-19”, likely requires caveats about possible effects of the several factors discussed above.
Further, the reported finding cannot be extrapolated to care of all Covid-19 patients, since the above- mentioned-potential interactions require further investigation, including; as to effects of; magnesium
status; treatment with PPI inhibitors, impact of corticosteroids in severe Covid-19 illness on vitamin D biology and outcomes, and consideration of pre-existing vitamin D status.
Further public health policy directed at reducing vitamin D, and other nutrient deficiencies for mitigation of COVID-19 risks at population levels, should not be conflated with clinical optimisation of vitamin D and metabolites for treatment of severe COVID-19 illness.
[1] Murai,I., Fernandes, A., Sales, L., Pinto, A., Goessler, K., et. al. 17th November 2020). Effect of Vitamin D3 Supplementation vs placebo on Hospital Length of Stay in Patients with Severe COVID-19 A Multicenter, Double-blind, Randomized Controlled Trial. medRxiv 2020.11.16.20232397; doi: https://doi.org/10.1101 /2020.11.16.20232397 Available at: https://www.medrxiv.org/content/10.1101/2020.11.16.20232397v1<br />
[2] Tan, C., Ho, L., Kalimuddin, S., Cherng, B., Teh, Y., et.al. (10th June 2020). A cohort study to evaluate the effect of combination Vitamin D, Magnesium and Vitamin B12 (DMB) on progression to severe outcome in older COVID-19 patients. doi: https://doi.org/10.1101/202... Available at: https://www.medrxiv.org/content/10.1101/2020.06.01.20112334v2<br />
Now published in Nutrition doi:10.1016/j.nut.2020.111017 <br />
[3] Entrenas Castillo, M., Entrenas Costa, L., Vaquero Barrios, J., Alcalá Díaz, J., López Miranda, J., Bouillon, R., & Quesada Gomez, J. (29th August 2020). Effect of calcifediol treatment and best available therapy versus best available therapy on intensive care unit admission and mortality among patients hospitalized for COVID-19: A pilot randomized clinical study. The Journal of steroid biochemistry and molecular biology, 203, 105751. https://doi.org/10.1016/j.j... Available at: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7456194/<br />
[4] Rastogi, A., Bhansali, A., Khare, N., et. Al. (12th November 2020).<br />
Short term, high-dose vitamin D supplementation for COVID-19 disease: a randomised, placebo-controlled, study (SHADE study). Postgraduate Medical Journal Published Online First:. doi: 10.1136/postgradmedj-2020-139065 Available at: https://pmj.bmj.com/content/early/2020/11/12/postgradmedj-2020-139065<br />
[5] Bouillon, R., & Bikle, D. (2019). Vitamin D Metabolism Revised: Fall of Dogmas. J Bone Miner Res. 2019 Nov;34(11):1985-1992. doi:<br />
10.1002/jbmr.3884. Epub 2019 Oct 29. PMID: 31589774. Available at: https://asbmr.onlinelibrary.wiley.com/doi/full/10.1002/jbmr.3884<br />
[6] Brown, R., Rhein, H., Alipio, M., Annweiler, C., Gnaiger, E., Holick M., Boucher, B., Duque, G., Feron, F., Kenny, R., Montero-Odasso, M., Minisola, M., Rhodes, J.,Haq., A, Bejerot, S., Reiss, L., Zgaga, L., Crawford, M., Fricker, R., Cobbold, P., Lahore, H., Humble, M., Sarkar, A., Karras, S., Iglesias-Gonzalez, J.,Gezen-Ak, D., Dursun E., Cooper, I., Grimes, D. & de Voil C. (April 20, 2020). COVID-19 ’ICU’ risk – 20-fold greater in the Vitamin D Deficient. BAME, African Americans, the Older, Institutionalised and Obese, are at greatest<br />
risk. Sun and ‘D’-supplementation – Game-changers? Research urgently required’: ‘Rapid response re: Is ethnicity linked to incidence or outcomes of COVID-19?’: BMJ, 369(m1548). DOI: 10.1136/bmj.m1548. Available at: https://www.bmj.com/content... (Accessed: 24 November2020. - Alipio study<br />
now in question – rest stands)<br />
[7] Brown R. (15 Oct 2020). Vitamin D Mitigates COVID-19, Say 40+ Patient Studies (listed below) – Yet BAME, Elderly, Care-homers, and Obese are still ‘D’ deficient, thus at greater COVID-19 risk - WHY? BMJ 2020;371:m3872 Available at https://www.bmj.com/content/371/bmj.m3872/rr-5 (Retrieved 24 Nov 2020) <br />
[8] Cohen, P., Blau, J., Eds: Elmore, J., Kunins, L., & Bloom, A. (2020). MD disease 2019 (COVID-19): Outpatient evaluation and management in adults. Literature review. Wolters Kluwner. Available at: https://www.uptodate.com/contents/coronavirus-disease-2019-covid-19-outpatient-evaluation-and-management-in-adults/print<br />
(retrieved 25th November 2020)<br />
[9] Jain, A., Chaurasia, R., Sengar, N., Singh, M., Mahor, S., & Narain, S. (19th Nov 2020). Analysis of vitamin D level among asymptomatic and critically ill COVID-19 patients and its correlation with inflammatory markers. Sci Rep. 2020 Nov 19;10(1):20191. doi: 10.1038/s41598-020-77093-z. PMID: 33214648; PMCID: PMC7677378. Available at: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7677378/<br />
[10] Radujkovic, A., Hippchen, T., Tiwari-Heckler, S., Dreher, S., Boxberger, M., & Merle, U. Vitamin D Deficiency and Outcome of COVID-19 Patients. Nutrients 2020, 12, 2757. Available at https://www.mdpi.com/2072-6643/12/9/2757 <br />
[11] Hidalgo, A. A., Trump, D. L., & Johnson, C. S. (2010). Glucocorticoid regulation of the vitamin D receptor. The Journal of steroid biochemistry and molecular biology, 121(1-2), 372–375. https://doi.org/10.1016/j.j... Available at https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2907065/<br />
[12] Giustina, A., Bilezikian, J. (eds) (2018). Vitamin D and Glucocorticoid-Induced Osteoporosis. Vitamin D in Clinical Medicine. Front Horm Res. Basel, Karger, 2018, vol 50, pp 149-160 (DOI:10.1159/000486078) Available at https://www.karger.com/Article/Pdf/486078<br />
[13] The RECOVERY Collaborative Group. (17th July 2020). Dexamethasone in Hospitalized Patients with Covid-19 — Preliminary Report. J New England Journal of Medicine R10.1056/NEJMoa2021436 https://www.nejm.org/doi/fu... Available at https://www.nejm.org/doi/full/10.1056/NEJMoa2021436<br />
[13] FDA. (8th Apr 2017). FDA Drug Safety Communication: Low magnesium levels can be associated with long-term use of Proton Pump Inhibitor drugs (PPIs) https://www.fda.gov/drugs/drug-safety-and-availability/fda-drug-safety-communication-low-magnesium-levels-can-be-associated-long-term-use-proton-pump (Accessed 25th November 2020)<br />
[14] Hughes, J., Chiu, D., Kalra, P., & Green, D. (2018). Prevalence and outcomes of proton pump inhibitor associated hypomagnesemia in chronic kidney disease. PLoS ONE 13(5): e0197400. https://doi.org/10.1371/jou... Available at: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0197400<br />
[15] Lee, S., Ha, E., Yeniova, A., et. al. (30th July 2020). Severe clinical outcomes of COVID-19 associated with proton pump inhibitors: a nationwide cohort study with propensity score matching. Gut Published Online First: 30 July 2020. doi: <br />
10.1136/gutjnl-2020-322248 Available at: <br />
https://gut.bmj.com/content/early/2020/07/30/gutjnl-2020-322248<br />
[17] Hermes Sales, C., Azevedo Nascimento, D., Queiroz Medeiros, A., Costa Lima, K., Campos Pedrosa, L., & Colli, C. (2014). There is chronic latent magnesium deficiency in apparently healthy university students. Nutr Hosp. 2014 Jul 1;30(1):200-4. doi: 10.3305/nh.2014.30.1.7510. PMID: 25137281. Available at: http://www.aulamedica.es/nh/pdf/7510.pdf<br />
[18] Kearns, M., Alvarez, J., & Tangpricha, V. (2014). Large, single-dose, oral vitamin D supplementation in adult populations: a systematic review. Endocrine practice: official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists, 20(4), 341–351. https://doi.org/10.4158/EP1... Available at: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4128480/<br />
[19] Kheiri,B., Abdalla, A., Osman, M. et al. (2018) Vitamin D deficiency and risk of cardiovascular diseases: a narrative review. Clin Hypertens 24, 9 (2018). https://doi.org/10.1186 /s40885-018-0094-4 Available at https://clinicalhypertension.biomedcentral.com/articles/10.1186/s40885-018-0094-4 <br />
[20] Kruglikov, L,. Shah, M., Scherer, E. (Sept 2020). Obesity and diabetes as comorbidities for COVID-19: Underlying mechanisms and the role of viral-bacterial interactions. Elife. 2020 Sep 5;9:e61330. doi: 10.7554/eLife.61330. PMID: 32930095; PMCID: PMC7492082.<br />
[21] Borsche L. Private email 19.11.20
On 2020-12-01 21:23:17, user NubOfTheMatter wrote:
This trial appears to have been a wasted opportunity.
It is unclear why Vitamin D3 was orally administered to severely ill C-19 patients. It can take a fortnight to be metabolised into Calcifediol, the active, metabolised form required to trigger an immune response. A most unhelpful delay to the effective treatment of severely ill COVID-19 patients.
The RCT conducted at the teaching hospital in Cordoba used Calcifediol, with dramatic results. Compared to the untreated ‘control group’ there was a 96% reduction in the need for Intensive Care Unit admission, and a commensurate reduction in deaths.
One has to ask, therefore, why, in Sao Paulo, it was decided to administer un-metabolised Vitamin D3 rather than Calcifediol to severely ill C-19 patients for whom every day of non-treatment reduces the chance of a good outcome if not survival? Indeed, an experienced physician could have forecast the results obtained without the need for a trial.
On 2020-12-07 13:02:33, user Fernando wrote:
Good morning, I have some comments: I couldn’t find the final D level at 7 and 10 days (hospital discharge), this information is crucial to establish the effectiveness of the ministered dose. <br /> At a first glance, considering the patients were mostly deficient in vitamin D and obese (slow D absorption) the dose provided seamed too low to produce results in such a short time (7-10 days), specially as it was vitamin D in its over the counter form (not calcifediol).<br /> Also not clear how many days after testing positive did the patients take vitamin D. It seems that in Brazil people are only hospitalized after aggravation.<br /> Thank You!
On 2020-12-06 20:15:11, user Murilo Perrone wrote:
It appears to me that the 8 patients on the treatment group who did not make it where exactly the ones who failed to reach adequate levels of 25OHD (above 30 ng/mL). The chart indicates that 5 patients from the treatment group failed even to reach 20 ng/ml. Unfortunately, the study gives no clue about this possible correlation, but that's my best guess.
I noticed that ventilation machine requirement was reduced by more than 50% in treatment group, but all 8 patients from treatment group who required it didn't survive. There is an indication that their outcome was predictable. IMHO, their specific data should be analyzed.
On 2020-12-01 14:30:16, user Peter Griffiths wrote:
Published as: Griffiths, P., Saville, C., Ball, J., Culliford, D., Pattison, N., Monks, T., 2020. Performance of the Safer Nursing Care Tool to measure nurse staffing requirements in acute hospitals: a multicentre observational study. BMJ Open 10 (5), e035828.10.1136/bmjopen-2019-035828
On 2020-12-01 17:48:06, user Pandora wrote:
Interesting. Did you take into account regular medication taken for each group. Studies have been done on Ace2 inhibitors and blockers. There's also studies on proton-pump inhibitors and Sarscov2. They seem inconclusive too, but it may skew your results. Interestingly, a lot of these drugs and a diabetes drug are under recall for NDMA contamination at present.
On 2020-10-30 18:25:19, user gatwood wrote:
I suspect there could be a strong corellation between vaccination status<br /> and following a strict adherence to all COVID anti-infection <br /> guidelines, PPE etc... Experienced and medically trained Drs and nurses<br /> more likely have been vaccinated and also are more likely to follow PPE<br /> wearing and careful anti-infection routines. Support staff (food <br /> service, assistants and claening staff) with less formal medical <br /> training and understanding of infection are probably less likely to be <br /> vacinnated and also may be less likely to carefully employ all technical<br /> anti-infection measures. Would this account for the vaccinated folks <br /> having less COVID infection?
On 2020-10-28 17:49:44, user Sam Wheeler wrote:
How often should a healthy 40-year-old person take the flu shot, for maximum protection? Every 2 months, until real covid-19 vaccine is available?
Does vaccine brand matter? Egg-free vaccines better? Egg-free flu vaccines are unavailable in most European countries, where could an European consumer buy them and how?
On 2020-12-03 15:34:00, user joetanic wrote:
Quite interesting data. I'm wondering whether anyone knows why France does not perform these tests?
Or the US? It seems a broad study, especially in France which seems to be bucking the trend, so to speak, would make clear what the future holds in many places.
On 2020-12-09 15:46:15, user Laura wrote:
This preprint has been published in The Journal of Immunology. You can read the latest version here: https://doi.org/10.4049/jim...
On 2020-12-11 16:21:41, user Fred wrote:
Disappointing study. I would not expect that antivirals are of any use if started when patients are already hospitalized. I would recommend to start with antivirals as soon as possible regardless wheter the patient has symptoms or not. But in this case we need studies comprising many more patients than in this small study
On 2020-12-11 18:07:58, user Thierry Grenet wrote:
Another discussion of the trajectories is given here : https://bmcmedresmethodol.b....
On 2020-12-12 17:48:59, user Patrick Karas wrote:
Congratulations on this excellent work. Molecular subtyping for meningioma is much needed to help develop future therapies, and your work pushes this forward. How do you think your subtypes A, B and C compare to the meningioma molecular types similarly labeled type A, B, and C published last year in PNAS by Patel et al (doi: 10.1073/pnas.1912858116)? It seems like there is a lot of overlap (group A with intact NF2; group B and C with NF2 loss; group C with increased FOXM1 expression and high copy number variation). This is a great step forward validating these subtypes through a different approach.
On 2020-12-12 23:20:04, user Omid Jahanian wrote:
This is an original manuscript of an article published by Taylor & Francis in the Journal of Spinal Cord Medicine on 09 Nov 2020, available online: https://www.tandfonline.com....
On 2020-12-13 04:57:43, user Haitham kussaibi wrote:
Dear valuable readers,
The current manuscript has been peer reviewed and published by <br /> Karger, Acta cytologica<br /> DOI:10.1159/000509669<br /> Thank you for your interest.<br /> The Authors
On 2020-12-16 20:05:03, user Wolfgang Lins wrote:
the authors discuss "anterior nasal (AN)" swabs, and on page 4 refer to this as:
Participants first underwent collection of the AN-sample, using the specific nasal swab provided in the test kit of the manufacturer, according to the instructions for use, which also correspond to the U.S. CDC instructions [4]. Briefly, while tilting the patient’s head back 70 degrees, the swab was inserted about 2cm into each nostril, parallel to the palate until resistance was met at turbinates, then rotated 3-4 times against the nasal walls on each side
First, the collection procedure described here in act matches to one in that CDC manual [4], however not to the AN collection but to the collection of Nasal mid-turbinate (NMT) specimen. That is a floppy usage of the terms AN versus NMT, and should at least been detailled when defining AN in this paper.
Second, the paper refers to a "specific nasal swab provided in the test kit of the manufacturer" for AN collection. Three lines later they write "a separate NP-swab (provided in the manufacturer test kit) for the Ag-RDT". <br /> As of my knowledge, the "STANDARD Q COVID-19 Ag Test" of SD Biosensor/Roche comes with a single kit - a NFS-1 from Noble Biosciences Inc., which is a swab for NP.
I think it would help this paper to identify the particular "specific nasal swab" used here to obtain the AN/NMT swab - since the conclusions of this paper make a claim that "using a professional AN-sampling kit is at least equal to....". Reference 5 with a link to a sdbiosensor IFU that refers to NP swab only does not put any more light into this.
Such a finding without properly identifying the particular kit unnecessarily reduces the value of this work.
On 2020-12-25 14:25:32, user muthu venkat wrote:
The Systematic Review and Meta-Analysis is interesting to read and need of the time to compile such an evidence particularly for middle and low income country. The authors have made sure that there is no bias in selection and reporting the evidences through use of appropriate software and methods.
On 2020-12-26 19:56:50, user Dr S K Maheshwari wrote:
This systematic review is focusing on measuring effectiveness of mHealth interventions on antenatal and postnatal care utilization in low and middle-income countries. A strong methodology was used along with wide inclusion of relevant studies from low and middle-income countries. The search strategy criteria were used very specific. I appreciate this work and recommend.
On 2020-12-25 16:08:55, user Deepak K. Gupta wrote:
Full paper now published in the Tremor and Other Hyperkinetic Movements journal here: https://tremorjournal.org/a...
On 2020-12-26 04:49:01, user Peter Tomasi wrote:
Correction: If we assume a latency of 28 days, a substantial amount of samples REPRESENTING A POINT IN TIME WHEN THE level of the exposure in the environment was not yet as high as the one the authors draw their conclusions for, could have been collected.
On 2020-12-27 21:03:59, user CO2lover wrote:
I wonder if those samples are ever tested for influenza?
On 2021-01-01 12:19:30, user Ed wrote:
This article is a preprint and has not been peer-reviewed. It reports new medical research that has yet to be evaluated and so should not be used to guide clinical practice.
..and yet it is being used for exactly that, ref. Department of Health and Social Care Joint Committee on Vaccination and Immunisation: advice on priority groups for COVID-19 vaccination, 30 December 2020 6th bullet-point of the introduction.
On 2021-01-05 07:56:40, user Rita Pizzi wrote:
previous researches
Ghate VS, Ng KS, Zhou W, Yang H, Khoo GH, Yoon WB, Yuk HG.
“Antibacterial effect of light emitting diodes of visible wavelengths on
selected foodborne pathogens at different illumination temperatures.”
International Journal of Food Microbiology. 166 (2013) 399.
Ghate VS, Leong AL, Kumar A, Bang WS, Zhou W, Yuk HG. “Enhancing the
antibacterial effect of 461 and 521 nm light emitting diodes on selected
foodborne pathogens in trypticase soy broth by acidic and alkaline pH
conditions” Food Microbiology. 48 (2015) 49.
Ghate, V, A Kumar, W Zhou and HG Yuk. 2015. Effect of organic acids
on the photodynamic inactivation of selected foodborne pathogens using
461 nm LEDs. Food Control 57:333–340.
Vaitonis and Ž. Lukšiene – Institute of Applied Research, Vilnius
University, Saul?etekio 10, LT-10223 Vilnius, Lithuania “Led-based light
sources for decontamination of food: modelling photosensitization-based
inactivation of pathogenic bacteria” Lithuanian Journal of Physics,
Vol. 50, No. 1, pp. 141–145 (2010)
http://www.lmaleidykla.lt/p...
Nicolai Ondrusch, Jürgen Kreft “Blue and Red Light Modulates
SigB-Dependent Gene Transcription, Swimming Motility and Invasiveness in
Listeria monocytogenes” Published: January 11, 2011DOI:
10.1371/journal.pone.0016151
On 2021-01-06 22:52:53, user Ana Laura Teodoro De Paula wrote:
Where's the funnel plot? The result can't be considered if you cite a funnel plot and don't show it.
On 2021-01-07 03:20:52, user Robin Whittle wrote:
The Mark Alipio article (43) is fake and was withdrawn in August. Please see https://researchveracity.in... for information on this article and two more by "Raharusun" et al. and "Glicio" et al.
On 2021-01-07 08:06:09, user Giuseppe novelli wrote:
Congratulations, the work confirms and extends the considerations reported by us in two published papers, which happy if the authors could quote in an updated version of the manuscript Thanks
Giuseppe Novelli
Novelli A, et al., Analysis of ACE2 genetic variants in 131 Italian SARS-CoV-2-positive patients. Hum Genomics. 2020 Sep 11; 14 (1): 29. doi: 10.1186 / s40246-020-00279-z. PMID: 32917283
Latini A, et al., COVID-19 and Genetic Variants of Protein Involved in the SARS-CoV-2 Entry into the Host Cells. Genes (Basel). 2020 Aug 27; 11 (9): E1010. doi: 10.3390 / genes11091010. PMID: 32867305
On 2021-01-07 14:34:51, user Meerwind7 wrote:
Households with single parents are also considered as socially deprived in other contexts. For infection rates, it might be of benefit if there is no second adult that could bring infections to the family. It was a pity if the effect was not taken into account. I also do not know if the social deprivation was evaluated for each individual child and its infection risks, or just for the schools and the aggregat of their pupils overall.
On 2021-01-08 21:53:07, user Marek J wrote:
Your study says that methylglyoxal contained in honey cause immunostimulatory or pro-inflammatory action via stimulating the production of immunological mediators, also IL-1?. This study https://www.nature.com/arti...<br /> Shows that low levels of IL-1 are linked to lower mortality.<br /> Is it then safe to recommend using honey rich for MGO, e.g. Manuka honey?
On 2020-12-15 23:58:58, user Samantha Braun wrote:
What was used as the placebo?
On 2021-01-09 18:28:12, user Alex Backer wrote:
This study appears to have been used to Curative to justify their methodology, yet the false positive and false negative rates in the FDA report are incredibly high. Look at the numbers: https://www.linkedin.com/pu...
On 2021-01-10 12:16:07, user Hans Binder wrote:
The paper is published under<br /> https://www.mdpi.com/1999-4...
On 2021-01-10 19:47:40, user Wayne Griff wrote:
21 days after the 1st dose of the Pfizer Vaccine, patients have 1/5th the viral neutralizing power of Convalescent Plasma. In contrast, 7 days after the 2nd dose, patients have 2-4 times the neutralizing power of Convalescent Plasma. NEJM Also, the 47% effectiveness rate is only up to 3 weeks. It's definitely going to be less at 6, 9, or 12 weeks.<br /> Giving only 1 vaccination is a waste of a vaccination. It provides little, if any immunity.
On 2021-01-12 20:36:18, user Michael Meyer wrote:
Can someone tell me if this study has completed the peer-review process prior to publication in the Journal of Infectious Diseases? If not, is it currently in that process?
On 2021-01-13 13:34:01, user Tavpritesh Sethi wrote:
Great work. Please do have a look at our work from June, 2020 on similar lines using explainable models https://www.medrxiv.org/con...
On 2021-01-14 00:01:25, user Emmanuel Aluko wrote:
Will such a study be done on older cohorts to show the age-dependent efficacy of Ivermectin on reducing mortality, for mortality is seen mainly in older patients with associated co-morbidities? Days to negative tests on such cohorts would also provide a better basis for accepting Ivermectin as a worthy COVID-19 therapeutic.
On 2021-01-14 14:10:21, user Jeroen van Kampen wrote:
Finally peer-reviewed and online.<br /> See: https://www.nature.com/arti...
On 2021-01-15 12:19:29, user Kit Byatt wrote:
Given that:<br /> 1. Excess mortality for a year can't be known for several weeks into the following year <br /> 2. Especially in a year with Christmas & New Year's Day on Fridays, and a pandemic impeding the bureaucracy of collecting & collating mortality data - particularly in cases where the Coroner [or equivalent] is involved)<br /> 3. Different countries have exhibited different patterns (or none) of winter excess mortality peaks (as shown in Figure 1c)
a) Is it not premature to undertake a comparison before all the data are in (or alternatively, at least title as 'Preliminary observations on...'?
b) Might not the association end up significantly higher, the same, or lower, then?
On 2021-01-27 10:12:04, user Elias Hasle wrote:
some countries being hardly hit while others to date are almost unaffected
Readers will tend to read this as "barely hit", the opposite of the intended meaning. "hit hardly" would be less ambiguous.
On 2021-01-17 06:42:44, user Seri Ratu Putri Binti Baharom wrote:
Hi, where can I see the survey form?
On 2021-01-18 11:40:13, user Kit Byatt wrote:
Was there a sex difference in LOS?
We know there are age differences in LOS (median & variance increasing with age). What were the LOSs for age brackets (e.g. each decade)?
Given the very skew LOS distributions in hospital in-patients usually, and especially here, mightn't it be helpful to put the inter-quartile range for the median LOS in 'Outcomes' para 2?
Could you calculate the 'decay' in in-patient numbers (i.e. the equation for the 'current number of inpatients' curve from time zero, for 1000 pts with the LOS distribution you know)? This could be invaluable for modelling bed occupancy.
It is difficult to know the percentage figure for each bar in the symptom combinations and ICU admission matrix. Either putting the number over/in each column (as in Figure 15 Top), or at least showing minor tick marks at 0.01 intervals would greatly improve the clarity of this chart.
On 2021-01-21 13:24:54, user Miroslava Stancíková wrote:
Testing was not voluntary, it was in conflict with the Constitution of the Slovak Republic and the Charter of Fundamental Human Rights
On 2021-01-21 18:33:05, user Calogero wrote:
Slovak people were forced to participate to the testing under threat of losing their jobs. One months after testing we were and now still are among the countries with higher deaths rate pro capite in the world. People had to wait per hours outside in severe november weather to be tested and after that wait inside for the results risking to be infected. During the weeks after testing the number of daily pcr tests was significantly lowered, that is reason why there were less new covid cases after testing. And despite whole scientific and medical community is contrary to the wide-testing, it is to be repeated next week, same conditions, not tested not allowed to go to the work, risking unexcused absence standing on the words of minister of labour, without any financial compensation. Unbelievable but true. (sorry for my english)
On 2021-01-23 13:21:08, user Dušan wrote:
"All authors declare that they have no conflicts of interest"
Have a look at Jarcuška's organisation Euromedpro which is sponsored by GSK and Pfizer.
On 2021-01-23 01:56:50, user Super Science wrote:
Interestingly similar Autoantibodies to beta-adrenergic and muscarinic cholinergic receptors in Myalgic Encephalomyelitis ‘Chronic Fatigue Syndrome’ (ME/CFS) patients were also found<br /> – A validation study in plasma and cerebrospinal fluid from two Swedish cohorts - ScienceDirect<br /> August 2020<br /> https://www.science direct.com/science/article/...
On 2021-01-25 15:10:24, user Chip Hughes wrote:
Thank you all for this great research. It will really help OSHA target enforcement to the highest risk sectors and job classifications so that we can hope to reduce deaths among frontline workers with the highest level of COVID19 exposures on the job. Chip Hughes, USDOL-OSHA DAS
On 2021-02-02 18:17:42, user Robert Enger wrote:
The #1 candidate is "cook". Frequently that person stands in proximity to the grill, which is a high air flow location, due to the high power exhaust fan system in the range-hood over the grill. This acts as a funnel, sucking air from the kitchen (and surrounding areas back to the various points of makeup-air ingress). The cook is thus "downstream" from numerous co-workers in the kitchen, and from persons in other locations between the makeup-air ingress points and the range hood (potentially all the restaurant patrons, if interior dining resumes).
This should sound familiar. Recall the studies of remote distance Covid transmission studied in Korea and China. In those studies, high air flow from air conditioner output ports carried virus from infected individuals to victims many feet removed from the infected party. In this case, the cook near the range-hood is "downstream" from potentially significant numbers of individuals (depending on the location of makeup-air ingress points, etc).
If this line of reasoning is found to be sound, then providing a direct ingress path for outside fresh air to enter into the kitchen "may" reduce the exposure of the cook (and nearby kitchen staff).
On 2021-01-26 01:45:47, user jsihje wrote:
Why is Ivermectin and Embelin not considered at all?
On 2021-01-26 01:57:03, user Steven David Stoffers wrote:
what about a model run where there wasn't any air travel at all, including private air travel, that needed to still be made let alone any actual air travel at all, as of January 30, 2020 thru to today? what does that model show?
On 2021-01-30 20:33:49, user Michael Höhle wrote:
Dear authors,
thanks for posting this very relevant manuscript! Please consider having a look at the statistical methodology of the two following papers, which are very closely related to your work, as they also use an imputation + nowcast + backprojection approach:
Nowcasting the COVID-19 pandemic in Bavaria:<br /> https://onlinelibrary.wiley...
Analysis of the early Covid-19 epidemic curve in Germany by<br /> regression models with change points:<br /> https://www.medrxiv.org/con...
Best regards,<br /> Michael Höhle
On 2021-02-04 19:21:10, user Eli Rosenberg wrote:
We note that the final form of this article was published in JAMA Network Open on February 3, 2021:
https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2775827
We thank the medRxiv community for your interest in our work.
Eli Rosenberg<br /> Associate Professor<br /> Department of Epidemiology and Biostatistics<br /> University at Albany School of Public Health, State University of New York
On 2021-02-22 19:53:12, user Alexander Porter wrote:
What does: '8,041 individuals received two doses of a COVID-19 vaccine and were at risk for infection at least 36 days after their first dose.' mean? Were these individuals exposed to SARS-CoV-2 directly every day?
Were all PCR methods run with the same cycle threshold before and after administration?
On 2021-02-23 12:35:42, user Marek J wrote:
Great. We need more trials like this. There is huge potential: https://www.medrxiv.org/con...
On 2021-04-15 21:01:27, user CY Liu wrote:
Did you control batch effect, position effect, covariates in the data analysis? I could not see it in the paper.
On 2020-11-06 05:07:01, user Schneide Fu wrote:
Not sure they got the dosage correctly, as Nitazoxanide has a half life of 2.9 hrs. Should have been on divided doses, several times a day.
On 2020-11-06 14:33:43, user Dr. Thiagarajan wrote:
Timely need article and very interesting. We need to understand the challenges faced by dialysis professionals during this COVID 19. I congratulate Dr. Ravi Kumar for this timely article. Looking for this complete manuscript.
On 2020-11-12 12:47:34, user leesohyun19 wrote:
is it possible without masking image?
On 2020-11-13 04:37:18, user Ryo Honda wrote:
Now it's revised and published in Sci. Total Environ.<br /> https://doi.org/10.1016/j.s...
On 2020-11-21 00:29:25, user Richard Wachterman wrote:
Will airlines allow during flight since they do not allow masks that have exhaust holes? I realize that there are options for putting filters over the exhaust valve, but do we know if the airlines will accept that.
On 2020-12-04 16:17:03, user sdharbinger wrote:
I have three reservations about aspects of this study.
Firstly, the study tried to emulate a Randomised Control Trial by isolating consideration and analysis of each component for their potential as a single magic bullet agent and it never recorded or analysed enough data on a far greater range of different agents when they are taken in combination as part of integrated protocols. For example the Eastern Virginia Medical School protocol advocates supplementing with a combination of Vitamin C, Vitamin D, Quercetin, Zinc, Melatonin and Vitamin B complexes. Many also advocate Selenium, Magnesium, Folic Acid, NAC or Elderberry Syrup to name but a few.
Any combination of these agents could possibly help to build immunity because they act in different ways in different parts of the immune system and collectively certain protocols might show highly significant improvements in outcomes. There is no reason why the ZOE.app could not have collected data on all popular supplements and then analysed the data looking to see how effective different combinations were. This ability in principle to have collected virtually unlimited data from millions of subjects is what potentially makes the ZOE.app far superior to any RCT with virtually real time results and reports. If the Zoe app had given users the chance to enter a full range of supplements instead of restricting to them to just 6, then it would have been possible to analyse the effects of these agents when used in different combinations. In trying to emulate the 'gold standard' design and functionality of RCTs the ZOE.app and the study it generated: ignored the huge advantages that the ZOE.app has over RCTS in principal and in potential practices.
Secondly the study restricted its analysis to a question of whether people taking various supplements would go on the have a positive PCR test. The general problem with this measure is that no-one supposed that any of these supplements would provide complete prophylaxis against Covid-19 and that people were taking vitamins in the hope that if they caught Covid-19 that they would experience less severe illness on account of a better immune system. The best metric in these terms would have been to assess the relative hospitalisation rates between those taking supplements or not and not simply reduced evaluation to just prophylaxis.
Thirdly, the study failed to record what dosages of supplements people were taking which potentially have a large effect on outcomes.
On 2020-12-11 16:41:00, user Richard Neher wrote:
Review of version 1 of this manuscript -- 2020-12-11:
Kemp and colleagues present a case of persistent SARS-CoV-2 infection and analyze the molecular evolution that unfolded within the host in detail. This case is not dissimilar from two recently described cases (Choi et al (10.1056/NEJMc2031364), Avanzato et al (10.1016/j.cell.2020.10.049)). In contrast to these previous cases, Kemp et al investigate within-host evolution using deep sequencing and trace the frequencies of different variants through time. They characterize three diverged variants with different mutations and deletions in the spike protein, some of which reduce neutralization titers of convalescent plasma in a pseudo-typed lentivirus. Overall, the work in this paper is well performed and it provides convincing evidence of in-vivo antibody escape.
I have a number of suggestions to improve the presentation, strengthen the conclusions, and to remove/tone down parts that might be misleading.
* Fig 2A: The radial tree in Figure 2 is rather unhelpful. The labels are hardly readable and distances between samples are very hard to judge from the radial presentation. A rectangular tree indicating major clades and the different within-host samples would be better.
* Fig 2B & 4B: I think the figure would be improved by changing the scale bar to correspond to one or two mutations (currently the scale bar is given in mutations per site and is roughly 6 mutations in 2B, 2 mutations in 4B). Zero-length branches in the ML trees should be collapsed into polytomies. Bootstrap values on SARS-CoV-2 trees are pretty useless. Better to label the branches with (number of) mutations that fall on the branch in a parsimony or ML reconstruction. This has a one-to-one correspondence to bootstrap values and is more interpretable.
* The purple line in Fig 3B suggests an iSNV at frequency 30% on day one that persists at a frequency around 30% until day 82. This iSNV doesn't seem to be affected by the fixation of other iSNVs at time points 66 or 82 days. Would be good to look into this. It could indicate population structure which would imply parallel evolution. Or it could be an artifact (more likely). Either way, this should be looked at and discussed.
* To understand the rapid shifts in dominating variants better, it would be helpful to include a discussion of their frequencies when they are rare. It makes a difference to the interpretation if the minor variants are present at 10%, 1%, or 0.1%. The reader currently has to piece this together from supplementary table 3 and there are some discrepancies: The S:64G variant seems to be very rare after day 95 (not detected by high coverage Illumina) while the linked S330S is still picked up (at high frequency in low coverage data??). Mutations 200H,240I,258S are missing from supplementary table 3.
* Fig 5 would be more useful on a logscale. Bar charts should be avoided, individual data points need to be shown.
* the description of how evolutionary rates are estimated from within-host data is very short. I would caution against over-interpreting these estimates for two reasons: (i) Phylogenetic estimates are done with consensus sequences and thus ignore minor variation. (ii) rate estimates likely depend a lot on how the within-host variation is rooted and how the root height is constrained. The error of the mean rates (table S2) seems way too small in some cases (1% of the main) calling the entire procedure into question. I would cut this as I don't think this is reliable and it is not central to the paper.
* Similarly, the logistic fit to T39I in ORF7a (Supp Fig 6) is not evidence for selection. I don't see what this figure adds that is not visible in Fig 3. All that Fig S6 shows is that the variant was rare at day one and then bounced around frequency 0.5 between day 30 and 60. There is no reason to fit a logistic and insinuate selection.
* the distances presented in Fig S5 seem rather large (two-fold larger than what I would have guessed from the tree).
* accession numbers for consensus sequences and reads need to be provided.
On 2020-12-13 09:54:35, user @nsmartinworld wrote:
This is now infamous as Sweden’s hospitals are at capacity.
On 2020-12-15 23:02:05, user E. de Moya wrote:
You should contact Mr. Wallukat and Celltrend, both researching autoantibodies in postviral Postural Tachycardia Syndrome (POTS) and ME/CFS. It would be interesting to see, if long-haulers also have amongst others, adrenergic and muscarinic aabs
On 2020-12-18 09:01:57, user Frank Conijn wrote:
For as to why in the latter version(s) the analysis regarding face masks was deleted, see the comments under version 2 on https://www.medrxiv.org/con....
On 2020-12-21 00:47:06, user Nikunj Bhagat wrote:
This paper has now been published by NeuroImage:Clinical and readers can access it at https://doi.org/10.1016/j.n...
On 2021-01-16 09:55:59, user Guillaume wrote:
please correct reference 22 to published version, thanks! https://www.nature.com/arti...
On 2021-01-24 08:54:43, user ad4 wrote:
Can the authors please provide a list / file of all input parameters (with error intervals) used in the model and make all code publicly available.
On 2021-01-25 17:46:56, user Yin Aphinyanaphongs wrote:
who is the corresponding author?
On 2020-09-13 07:52:10, user OxImmuno Literature Initiative wrote:
On 2021-07-10 22:08:06, user Mazzs wrote:
Australia is currently showing good data on precise outcomes for delta variant cases.
On 2020-09-13 08:20:33, user OxImmuno Literature Initiative wrote:
On 2020-09-16 02:09:39, user Peter Lange wrote:
Thanks, interesting paper. To my knowledge reporting appears complete but may I suggest statement that the paper is consistent with the relevant EQUATOR guideline and completion of the check-list - I think it would be STARD?
On 2020-09-16 21:22:39, user Philippa Wells wrote:
Our paper has now been published in The Lancet Rheumatology: https://www.thelancet.com/j...
On 2020-09-23 08:05:12, user Bastien Boussau wrote:
This preprint has been peer-reviewed by Peer Community In Mathematical and Computational Biology @PCI_MathCompBio. The reviews can be seen here: https://mcb.peercommunityin.org/public/rec?id=1&reviews=True
On 2020-09-23 18:54:07, user ???? ????? wrote:
Good work but l want to ask if the patients who died they had risk factor for thrombosis or not
On 2020-09-24 00:34:03, user Peter Olins wrote:
@Bjorn, <br /> Perhaps I'm missing something, but I don't understand why you assume a 12-second interval between breaths when the resting rate for adults is typically one breath every 3-5 seconds. In addition, I suspect that a high breath rate would be expected for people socializing and eating lunch in a crowded restaurant. <br /> What effect would a 4-fold increase in respiration have on your calculations?
Peter Olins, PhD.
On 2020-09-24 19:07:43, user Steve Schaffner wrote:
The paper reports that Rh-positive blood type and mortality are positively correlated. According to Supplemental Table 3 (which doesn't seem to be accessible from the preprint server), mortality is also positively correlated with Rh-negative status. Since people can only be Rh+ or Rh-, this is not possible. I suspect the authors didn't remove samples with missing blood type information before doing the calculation -- information that is more likely to be missing for those who survived. If this is what happened, the high correlation with Rh+ type simply reflects the high prevalence of Rh+ in the population.
On 2020-09-24 20:42:31, user Marcus Roscher wrote:
Interesting findings... but one might not agree with their interpretation: strong but late measures as in most countries lead to many also lethal cases and then a sudden case drop. If the tested seropositive group is representative enough to deduce 44-66% infection rate of the population is questionable IMHO. And if so we don’t know what influence it really had on the case evolution (considering possible reeinfections or weak till no immunity with mild and no symptoms) ... so it’s not clear if there is a kind of herd immunity and second in such short time. On the other hand this would mean we would have 400-500 death per 100k population in older societies in order to reach some kind of Heard- immunity. What a price!
On 2020-09-29 06:52:41, user Robert Stephens wrote:
Could it be that the infection fatality rate (IFR) within a community may be determined by the dominant mode/s of transmission within that community? In Mumbai for instance, the adjusted IFR in the Dharavi slum community was 0.076% but in the non-slum community the IFR was 0.27% for the same period (https://www.medrxiv.org/con... "https://www.medrxiv.org/content/10.1101/2020.08.27.20182741v1)"). This discrepancy is unlikely to be on account of genetic factors, prior exposure to other coronaviruses, and perhaps is not due to age differences either.
Poor sanitation in slums may have resulted in cases of spread through contaminated water. Orofaecal transmission may have resulted in "safer" infections (gastrointestinal infections, oral mucosal & upper respiratory tract infections). <br /> In communities without sanitation issues, transmission of virus via airborne routes perhaps occurs more frequently. Airborne exposure to virus is potentially more toxic than non-airborne exposure as the transmission is more directed to lungs.
Robert Stephens MB BS FACD
On 2021-03-16 09:37:40, user Luandrie Potgieter wrote:
How can one get the data that was used to test the methods in this paper?
On 2020-09-29 22:53:36, user Guillermo Ruiz-Irastorza wrote:
The paper has been already published in PLoS One 2020 Sep 22;15(9):e0239401. doi: 10.1371/journal.pone.0239401. eCollection 2020.
On 2020-09-30 14:37:10, user tjo wrote:
Were the 62 patients in that experiment all from the ED group, or was it a mix on inpatients and ED?
On 2020-10-05 08:20:30, user NMN wrote:
The way it is presented in the abstract seems misleading to me, it presents itself as a report of a mass screening of nearly 2000 individuals, in which saliva outperformed NP swabs, but this is not really an accurate picture of what they found.
They have 2 cohorts. <br /> 1) a contact tracing (CT) cohort of 161 individuals, of which 47 were positive by NP and/or Saliva. I would not consider contact tracing of less than 200 individuals to be “mass screening”<br /> 2) An airport mass screening cohort of 1763 individuals, of which 5 were positive by NP and/or saliva.
The saliva outperformed the NP swabs in the CT cohort only, with 44/47 positives for saliva compared to 41/47 positives for NP swabs.<br /> NP swabs outperformed the saliva in the mass screening cohort, with 5/5 positives by NP swab, and 4/5 positives by saliva. These numbers are too low to make conclusions for mass screening though.
Furthermore, it seems that there are math errors in the sensitivities that they report.<br /> They report sensitivities of NP and saliva as 86% and 92% respectively, yet there is no way to arrive at these %s from the numbers in their tables.
Sensitivities for NP vs saliva in:<br /> CT cohort only: 87.2 vs 93.6% (41 vs 44 /47)<br /> Mass Screen cohort only: 100 vs 80% (5 vs 4 /5)<br /> Combined cohorts: 88.5 vs 92.3% (46 vs 48 /52)
On 2020-10-09 06:56:14, user Reetpetit wrote:
Thank you for a very interesting study.
@Mark Wilson <br /> Sounds like your mind is already made up, which is unhelpful.
In the IZA study of the introduction of face masks in Germany - which was particularly interesting as it happened on slightly different dates in different regions, allowing for a synthetic control - face masks were shown to have reduced Covid transmission by about 40%.
On 2020-10-12 13:15:33, user Anechidna wrote:
Vitamin D, which one? The assumption is D3 but D2 is the most commonest form of supplemental vitamin D in the belief that it is converted into D3 which it isn't. Very sloppy work to talk about Vitamin D when you were performing your research on a specific form. The research also indicates elevating levels of D2 in an attempt to drive up D3 results in suppression of D3 levels. So either get the required skin sunlight interaction allowing for skin tone or get D3 in its proper supplemental form as D3.
On 2020-10-16 15:39:56, user Mithun Aswath wrote:
The dosage of HCQ is much higher than normal recommended dose. The British Medical journal suggests only 200-400mg per day. But in this they can three - four times the dosage.
There is a trial in Belgium with low dose HCQ which has shown efficacy.
Maybe WHO needs to do proper trial for HCQ as a prophaltic like it's used for Malaria with a proper dosage and not a high one.
Also Vitamin D and Zinc benefits should be studied quickly as it's a cheap and easy immunity builder.
On 2020-10-16 19:04:34, user rick wrote:
The results contradict those published in NEJM for remdesivir. This trial is slightly larger, but the NEJM study was better described, and more homogeneous in its methods. It's unclear to me how the two patient populations compare, although some comments here suggest that, in this trial, they tended to be fairly sick. I would also like to see more work on this drug given early. By the time a person is hospitalized, their immune response to the virus may be more important than viral load, and antivirals can't do anything about that.
On 2020-10-16 21:49:42, user Carlos Stalgis wrote:
The question I have is different. Do we really believe that this type of trial design and implementation is good enough to answer the questions posed? I don't know of any other trial such as this one. It seems that they tested the design and not the drugs. In addition, they should not use the generic term IFN but the more specific interferon-beta. Not all IFNs work the same as antivirals.
On 2020-10-17 01:47:55, user EntropicInfo wrote:
Seems odd for this preprint not to provide any information about time from symptom onset to antiviral administration. Was time from symptom onset omitted from the paper or simply not recorded?
On 2020-10-18 08:46:08, user Amichai Perlman, PharmD wrote:
The use of 99% confidence intervals for subgroups in the meta-analysis in figure 4 obscures the subgroup difference which is suggested by the data. Using 95% confidence intervals and formal test for interaction, the difference in the effect of remdesivir on mortality between ventilated and non-ventilated patients would likely be considered "significant" according to standard meta-analysis reporting procedures. While this is a post hoc analysis and therefore is not conclusive, and should not be portrayed as such, its total dismissal does not seem warranted, both in terms of accepted statistical standards, and in terms of the effect size (it is identical to that shown for dexamethasone in non-ventilated patients on oxygen the Recovery trial).
On 2020-10-18 11:36:53, user Benjamin Himes wrote:
Nice ideas, I hope it matures into some useful tech. There are a few holes in the experimental design (or at least the presentation of such.)
Full review is accessible on Zenodo.
On 2020-10-18 23:05:10, user Joe B wrote:
Would have been interesting to also examine use of fentanyl, dexmedetomidine and propofol in these patients. Also, since there is no IV formulation of melatonin available (we had the IND for it), presumable oral melatonin was used. The bioavailability of it is very low, about 15% (already published data years ago). So, the doses used would have been important to know also. Sort of shocking that P&S is using so much in terms a atypical antipsychotics in patients who presumably have ICU dementia, generally not recommended by SCCM guidelines.
On 2020-10-20 09:17:45, user Anne Hartmann wrote:
Dear Prof. Kähler, <br /> thank you very much for your study. <br /> Unfortunately, we think that some aspects are not considered correctly and some mentioned conclusions therefore can not be drawn. We summarized our comments in a statement on our blog (statement is available in German as well as English)<br /> https://blogs.tu-berlin.de/....<br /> Kind regards<br /> Anne Hartmann, member of the research group of Prof. Kriegel
On 2020-10-20 14:15:11, user Robbert Bentvelsen wrote:
This trial was published: N Engl J Med 2020; 383:494-496 DOI: 10.1056/NEJMc2016321
On 2020-10-21 14:36:25, user Stephen B. Strum wrote:
It would be important to see if hospitals in urban settings have superior outcomes re death rates versus rural medical facilities. It would also be important to know if the issue of viral load as it relates to the population wearing masks (e.g., high-mask wearing versus intermediate vs low-mask wearing) plays a role.
On 2020-10-22 21:10:27, user Critical Dissection wrote:
Dear author,
After reading your article, here are my comments. I will start out with positive; the abstract was greatly laid out. I like how it is broken down to individual parts. It helped me navigate that section better. Your discussion section hits a variety points discussed in the paper and wrap it up nicely. Now to discuss certain things that were missing. Presentation is very important, and the paper lack the proper flow to achieve that presentation, for example table 1 was not present as a unique table but broken down into two pages which can be confusing for some. The figures were not explained, and conclusion had to be made from the caption and some information. A major issue in deciding if this method works is the sample size and lack of a control population. Further trials would have to be done as indicated in the study limitations, bias should be minimized in next group and a control group containing patients needing ablation but never had one before would be recommended.
On 2020-10-27 00:19:10, user Critical Dissection wrote:
Dear author,
Thank you for posting this article! It was truly very informative and will likely have important implications in resolving disorders of the heart, or possibly in other diseases and organs one day. I appreciated how thoroughly you expanded upon the criteria, explained considerations and acknowledged limitations, particularly in the discussion section. Additionally, patients' medical history and data were depicted very well through the tables in the Results section, so this was helpful in providing additional background. Overall, the methods and discussion sections were very detailed and provided excellent insight on this topic.
I have some feedback and recommendations for this study and article that I believe will help to improve clarity and reach a wider audience. First, it may be helpful to include more background about atrial flutters and ablation techniques in the introduction section. This would allow a more diverse audience of readers to understand the paper's contents without referring to external sources. Further, the results were not explained in great detail, so it was slightly difficult to interpret the figures presented. There was a more substantial mention of these results in the discussion section, but there may be some merit in including a direct explanation of each figure. Lastly, the small sample size likely caused bias in the results, as mentioned in the study limitations. The study would reach a larger category of patients if the criteria were less specific, so I would love to see a follow-up study, perhaps with expanded scope.
Overall, this article was very interesting! I do not have much background in the field, so I found some parts difficult to understand without reviewing external sources, and I believe there are some improvements that could be made to make this article more accessible to the public and the study more generalizable. Thank you, and I hope to see some future studies on this topic!
On 2020-10-23 06:01:42, user Martijn Hoogeveen wrote:
Pre-proof is nu online https://authors.elsevier.co...
On 2020-10-24 19:58:34, user Per Sjögren-Gulve wrote:
Why not use multiple logistic regression and examine age plus additional predictive variables (continuous awa categorical) together + interaction terms? Studies can be numbered/ID:d and included as one predictive variable in a common dataset. In that way, differences in distribution of the other predictive variables between the studies can be considered or - if there are no such differences - rejected and datasets pooled.
On 2020-10-26 08:37:35, user Jan wrote:
Very nice study! But I'm wondering how much antibody levels und numbers of specific B and T cells in the blood really tell us about protection. Is there any data out there about numbers specific plasma cells in the bone marrow or presence of tissue resident memory cells, e.g. in the lung - maybe from autopsies?
On 2020-10-26 13:14:19, user Stefan Dombrowski wrote:
I am not a fan of these respositories. They may well contain research that has been rejected by the peer review process and thus cannot find a legitimate outlet. And, now that this study has been submitted to the world via this repository it very likely cannot be subjected to the gold standard of peer review-- the double blind peer review process. CNBC and other media outlets have been sloppy by disseminating this study broadly given its lack of scientific vetting.
On 2020-10-28 06:10:32, user DenSvenskeSkeptikern wrote:
My question is this; is this a cross-section study? They just tested cognitive abilities whose results were below the average otherwise and then conclude the cognitive decline must be chronic? I mean, you would need to do follow-up to even begin suggesting it is chronic, right?
If things improve even though it might take weeks or even months, then it isn't chronic is it? Also, wouldn't you suffer (maybe temporary) cognitive decline if you end up in the ICU because of how intense that is for your body no matter why you ended up there?
Is it likely my questions would be indirectly answered as the article goes through the peer-review process where they might realize the logical flaws or the possibly too weak evidence they base their conclusions on?
On 2020-10-28 11:35:36, user David Simons wrote:
I have interpreted the inclusion criteria for the "Severe SARS-CoV-2 infection" group to include those within the biobank that died during March to July. If that's not the case and it's only individuals who died with COVID-19 on their death certificate you need to make this clearer. I understand that there have been a high proportion of COVID-19 related deaths in the community but this has definitely not been the only cause of death in these 4 months. If you are intent on using this to include individuals I think you'd need to run a sensitivity analysis on your results to investigate what happens when you exclude these individuals from your analytic sample.
Further, an in-hospital test is not an adequate proxy for disease severity. The reference you site can also not clearly support that statement. There are multiple reasons for in-hospital testing of non-severe individuals. Some of these include; staff of the hospital (or family member of staff), at risk groups (i.e. those attending the hospital for regular dialysis or chemotherapy) and those that attend the emergency department but do not get admitted to hospital. There are several ways you can mitigate against this depending on what data you have available. One option would be to use length of stay combined with in-hospital mortality to support your definition of severity, for example, if a significant proportion of your participants are admitted and discharged within less than 2 days it's unlikely they have severe disease. A further option if available would be to explore their requirement for supplementary oxygen, enrollment into RECOVERY or similar trial with inclusion of only severe disease or treatment with dexamethasone/remdisivir. If none of these are possible having a sensitivity analysis where you remove those with known comorbidities that increase the probability of asymptomatic screening or where the disease may not be severe at testing (i.e. renal dialysis patients or chemotherapy patients) and healthcare workers may strengthen this assumption.
Hope these are helpful comments.
On 2020-10-28 21:36:35, user IJ wrote:
The SNPs were found using a GWAS that controlled for vitamin D supplementation, and thus measured the genetic association with unsupplemented vitamin D levels. However, the question we are interested in is the relationship of COVID-19 outcomes with actual vitamin D levels, including supplementation for those who are already taking supplements. Since the decision to supplement is affected by unsupplemented vitamin D levels, this study needs to account for supplementation.
In particular, those with low vitamin D levels are more likely to be advised to take supplements. Could it be that those with genetic predisposition towards low levels might be taking supplements that raise their vitamin D levels, on average, more than is needed to compensate for the genetic predisposition? In that case, genetic predisposition for low vitamin D could _negatively_ correlate with actual vitamin D level, which would reverse the interpretation of the results.
On 2020-10-29 07:12:38, user reality tester wrote:
orange county prevalence 12% equates to 7.6 x higher than reported? 61,000 cases reported x 7.6 = 463,000 divide by 3.1 mil population equals 15% at least as of today... add 35% of those who have innate immunity as research published in Science and Nature indicates, and OC is at herd immunity threshold... no wonder hospitalizations are decreasing on 7 day moving averages, and daily deaths likewise dropping, despite more "cases" as tallied by positive swabs ...
On 2020-10-29 16:33:54, user Najmul Haider wrote:
Dear Readers-- the original article of this Preprint is Published as a Peer review article at "BMJ Global Health". You can download the published article from here: https://gh.bmj.com/content/...
On 2020-10-30 07:38:22, user Rajeev A wrote:
Dear Sir,<br /> Thanks for the answer to a question I was waiting for.<br /> In America COVID has surpassed the road accident death stats already.<br /> Thanking You<br /> Yours sincerely<br /> Rajeev
On 2020-10-31 09:30:37, user Paolo Benna wrote:
In a meta-analysis related to EPHX1 polymorphisms, Gui-Xin Zhao et al. [1] used the Newcastle-Ottawa scale (NOS) [2] for assessing the quality of the case series to be included in the study. The same Authors in this meta-analysis [3] use, for the evaluation of other polymorphisms, some of the series already included in [1]. Nevertheless, they attribute a different NOS score to these in the two meta-analysis. In detail:<br /> Hung CC (2012): 8 [1] and 6 [3]<br /> Yun W (2013): 5 [1] and 8 [3]<br /> Zhu X (2014): 5 [1] and 8 [3]<br /> Daci A (2015): 8 [1] and 6 [3]<br /> I think a clarification in this regard is appropriate, since the discrepancy is not easy to understand.<br /> Yours sincerely,<br /> Paolo Benna
References<br /> [1] Zhao G, Shen M, Zhang Z, Wang P, Xie C, He G. Association between EPHX1 polymorphisms and carbamazepine metabolism in epilepsy: a meta-analysis. Int J Clin Pharm. 2019; 41: 1414–1428. https://doi.org/10.1007/s11...<br /> [2] Wells GA, Shea B, O’Connell D, Peterson J, Welch V, Losos M, et al. The Newcastle-Ottawa scale (NOS) for assessing the quality of nonrandomized studies in meta-analysis. The Ottawa Health Research Institute. 2013. http://www.ohri.ca/programs...<br /> [3] Zhao G, Zhang Z, Cai W, Shen M, Wang P, He G. Associations between CYP3A4, CYP3A5 and SCN1A polymorphisms and carbamazepine metabolism in epilepsy: a meta-analysis. medRxiv 2020.03.03.20030783. https://doi.org/10.1101/202...
On 2020-11-01 19:22:55, user kdrl nakle wrote:
Sample of 34?
On 2020-11-02 00:25:13, user Noriaki Kurita (????), MD, PhD wrote:
This paper was eventually published from BMC Nephrology.<br /> https://bmcnephrol.biomedce...
On 2020-11-03 14:18:18, user Jonas Svensson wrote:
Paper now published in Journal of Thrombosis and Thrombolysis:
On 2020-11-03 17:26:53, user Nicanor Austriaco, OP wrote:
The preprint has been published at the Philippine Journal of Science: https://philjournalsci.dost...
On 2020-11-05 02:41:54, user Robert Stephens wrote:
This is a nice study!
"Interestingly, among children with symptoms compatible with COVID-19, only 11% (1/9) of those tested with RT-PCR were positive, while 60% (12/20) seroconverted. "
Perhaps some of the PCR -ve / seropositive children had gastrointestinal disease. Was there a pattern of symptoms for this group? Faecal / rectal PCR might have been interesting.
Dr Robert Stephens MB BS FACD
On 2020-11-05 16:58:58, user Sorin Draghici wrote:
Hi, Thanks for your great work. Your preprint refers to patients 1 through 20 plus patients A-D. The associated GEO dataset GSE150316 has only patients 1 through 12 but then A through J. The GEO data set also has 7 samples allegedly from placenta. Can you please clarify this? Which 20 patients are referred to in the paper? How about the placenta sample?