On 2022-10-13 01:36:58, user Renier Mendoza wrote:
Now published in PeerJ <br /> https://doi.org/10.7717/pee...
On 2022-10-13 01:36:58, user Renier Mendoza wrote:
Now published in PeerJ <br /> https://doi.org/10.7717/pee...
On 2021-08-11 01:45:23, user Sli wrote:
Would be useful if you add a table listing the time from full vaccination for all those green dots beyond 10 days.
On 2020-11-23 20:10:20, user TheMeerkat wrote:
To me the graphs in the pdf look like random distribution. I have no clue how anyone could decide that there is any correlation between values on two axes unless they decided it would be there before starting this research.
On 2020-11-30 01:00:57, user lbaustin wrote:
Does your hospital not routinely check vitamin D status - 25(OH)D levels? Recent studies have shown that if vitamin D is given early, it can decrease Covid-19 severity, but it is far less effective in severely ill patients.
On 2023-01-14 13:18:53, user Basheer Marzoog wrote:
the paper is published https://www.eurekaselect.co...
On 2021-08-12 13:33:46, user brikz wrote:
Yep, the PHD factor stood out to me as well. Love to hear why that is.
On 2021-08-13 05:55:13, user Joseph Akins wrote:
The PhD finding is not surprising. Given how most PhDs live their lives the difference in getting the vaccine vs not getting it may be viewed as negligible. That pro vaccine "arguments" broadly fall into one of three logical fallacies there is reasonable skepticism as to the motivation behind them. The three basic fallacies used are: appeals to authority, appeals to sentiment and ad hominem attacks.
Additionally, those with PhDs are hopefully trained to not be fooled by logical fallacies and those that have no university "education" have not been brain washed to mindlessly find them compelling (at least that's what 10 years enlisted in the military showed me).
Those with PhDs in the sciences are more likely to understand that science is a process and cannot "say" anything and is only "followed" by fools. This is similar to David Hume's idea that "you cannot derive an ought from an is". How the world operates tells us nothing about what we ought to do in any situation including whether any particular individual "ought" to get vaccinated, or wear a mask.
Those with PhDs in non STEM related fields are in my opinion, as one with a PhD in the physical sciences, much more likely to see science as a social instrument and probably support vaccine promotion and even coercion. Unfortunately, too many people, in general, ignorantly see science as an instrument with which they can bludgeon their political adversaries. This is willful ignorance that results in people being treated as means towards an end and not as thinking people with their own ends in mind.
I not only have a PhD, but I left Academia and have worked as a Registered Nurse for over 15 years. As to whether I personally believe in vaccines is of no importance because the disagreement is actually not over vaccines, or masks, but over the millenia old tension between individual autonomy and the collective "good". I fall squarely on the side of individual autonomy and against arguing by logical fallacies regardless of any view on whether I ought to get a vaccine. That I, on occasion, actually take care of COVID positive ICU patients is not a factor most people need to consider.
On 2023-01-30 12:28:48, user Aniko Lovik wrote:
This preprint has been now published in Stress and Health after peer-review: https://doi.org/10.1002/smi...
On 2020-07-18 05:45:16, user Peter Lange wrote:
Those last 2 #covid symptom clusters associate strongly with frailty... seems frailty and covid are associated with delirium and poor outcome. Not sure structuring as "symptom clusters" helps
On 2021-12-07 11:30:00, user kdrl nakle wrote:
This paper is not worth much as the authors failed to collect any real world data. It is not easy but that is something that needs to be done instead of replacing it with hypothesizing this or that.
On 2020-06-02 19:28:30, user lfstevens wrote:
Would like to see the definition of "high" and "low". A concentration? Or just "early" or "late".
On 2023-07-21 14:12:39, user Gaël Nicolas wrote:
I think that this variant is definitely a strong contributor to AD. However, the pedigrees also show that the patients with DNA available and carrying the variant, also carry one APOE4 allele. Actually, APOE4 segregates as good as SORL1 in these pedigrees! All affected individuals with DNA available are SORL1+/APOE4+. One unaffected individual is SORL1+/APOE4- (family 1) and one unaffected individual is SORL1-/APOE4+ (family 2). To be clear, I have absolutely no doubt of a major role of the SORL1 variant here, but I feel that this is very much consistent with a more complex inheritance and not purely autosomal dominant, as shown in our penetrance paper (Schramm et al., Genome Medicine 2022, PMID 35761418)
Interestingly, we have the same variant in three independant families from France (one of them is mentioned in this preprint). Although there is an obvious aggregation of AD cases in the families, there is a huge diversity of ages of onset and younger cases have a positive family history in both branches, suggesting the contribution of additional factors. Some of them are APOE4+ but not the 2 youngest probands. This may suggest the contribution of undetected contributing variants along with SORL1.
Overall, our penetrance paper (Schramm et al., 2022) and many pedigrees suggest a contribution of additional factors with SORL1 variants and that SORL1 alone may not be sufficient / fully penetrant. We have clear evidence for APOE4, as this is a common allele, but we know that there are many other other AD-associated variants, especially rare variants, among known variants (as families with SORL1+ABCA7 as we previously reported in Campion et al., Acta Neuropath 2019, PMID 30911827) and in other papers and, obviously, not yet known variants.
I thus recommend to use such results with great caution for genetic counseling, as we still don't exactly know how variants in other genes may drastically change an age of onset from 50 to 75-80 for example, or to absence of AD (as also shown for some truncating variants, as in Campion et al., 2019 where a mother transmitted a truncating a truncating variant and was unaffected with AD at age 95 years).
On 2021-12-16 12:09:06, user Ichizo Nishino wrote:
Now the paper has been published online in Neurology.<br /> https://pubmed.ncbi.nlm.nih.gov/34873015/
On 2020-06-03 17:13:16, user Euclides Castilho wrote:
cases according the results of the survey is not the same that the official statistcs say. These are cases according the surveillance definition . Official statistics do not take in account "infected" people
On 2020-06-05 18:57:05, user Paul Gordon wrote:
Hi, nice work. One minor clerical issue you may want to address is that in Supplemental Table 2, the GISAID IDs for UC1-11 are incorrect (all have the same ID as UC12).
On 2020-06-05 20:58:26, user eduardo wrote:
Comment from author: new version (uploaded 04 June 2020) updated parameters based on new data; the main difference with the first version is that the "CID" critical delay is now shorter, but nothing changed qualitatively.
On 2020-04-10 09:17:04, user Rosemary TATE wrote:
Authors could you please provide me with the CSV data file that I requested in an email to the corresponding author on Monday. Or better still could you please upload it?<br /> Thanks
On 2020-04-10 22:18:29, user stephenkirby wrote:
We're seeing a lot of curves on Coronavirus right now, but I'm just wondering, are there similar stats of influenza this year that would be helpful for people's perspectives?
On 2021-01-22 03:19:14, user Roberto wrote:
Ok but, whats is this? More than 200 scientifics and academic articles saying HDC is effective for COVID-19? https://c19study.com
On 2020-08-26 08:35:30, user joejoe3 wrote:
Are you saying death data is given the death date as the time of data entry? Doesn't that seem completely irresponsible practice? Who would ever do that? Isn't the actual death date/time very prominent on the chart? Always???
On 2019-10-17 08:06:25, user Øystein Haaland wrote:
Paper published in PLOS ONE.
On 2020-01-07 12:53:20, user Guyguy wrote:
EVOLUTION OF THE EPIDEMIC IN THE PROVINCES OF NORTH KIVU AND ITURI ON 05 JANUARY 2020
Monday, January 06, 2020
• Since the start of the epidemic, the cumulative number of cases has been 3,390, including 3,272 confirmed and 118 probable. In total, there were 2,233 deaths (2,115 confirmed and 118 probable) and 1,114 people healed;<br /> • 373 suspected cases under investigation;<br /> • 2 new confirmed cases in Ituri in Mambasa;<br /> • No new deaths among the confirmed cases, including:<br /> o No community deaths have been recorded;<br /> o No death among the confirmed cases;<br /> • No healed person has left the CTE;<br /> • No health worker is among the new confirmed cases. The cumulative number of confirmed / probable cases among health workers is 164 (approximately 5% of all confirmed / probable cases), including 41 deaths;<br /> • Mambasa again reported a confirmed case after 66 days of silence.
NEWS<br /> Organization of an evaluation session of awareness-raising activities in the Malepe health area in Beni<br /> • The sub-coordination of the response to the Ebola virus disease epidemic organized this Monday 06 December 2020 an evaluation session of awareness-raising activities in the Malepe health area in Beni;<br /> • According to the Coordinator of this Sub-coordination, Dr. Pierre-Céleste Adikey, this evaluation aims to intensify surveillance around visitors and raise alerts. These strategies, he said, will strengthen measures to protect the City against any possible reinfection of the City;<br /> • On this occasion, it was announced the resumption of free healthcare within the Malepe health center with the support of the NGO ALIMA which, from now on, provides drugs for the free care of the sick;<br /> • In addition, the Ebola Treatment Center (CTE) in Mangina unloaded the first eight Ebola winners in 2020 on Monday. These survivors, who were reintegrated into their respective communities, notably in Aloya / Canteen, testified to good care within this CTE.
VACCINATION<br /> • 4,802 people were vaccinated, until January 2, 2020, with the 2nd vaccine Ad26.ZEBOV / MVA-BN-Filo (Johnson & Johnson) in the two health areas from Karisimbi to Goma;<br /> • Since the start of vaccination on August 8, 2018 with the rVSV-ZEBOV vaccine, 261,596 people have been vaccinated;<br /> • Approved on October 22, 2019 by the Ethics Committee of the School of Public Health at the University of Kinshasa and on October 23, 2019 by the National Ethics Committee, the second vaccine, called Ad26.ZEBOV / MVA-BN -Filo, is produced by Janssen Pharmaceuticals for Johnson & Johnson;<br /> • This new vaccine complements the first, rVSV-ZEBOV, a vaccine used until then (since August 08, 2018) in this epidemic manufactured by the pharmaceutical group Merck, after approval by the Ethics Committee on May 20, 2018. It was recently pre-qualified for certification.
ENTRY POINT SURVEILLANCE<br /> • Since the start of the epidemic, the total number of travelers checked (temperature measurement ) at health checkpoints has been 135,503,900 ;<br /> • To date, a total of 109 entry points (PoE) and health control points (PoC) have been established in the provinces of North Kivu and Ituri in order to protect the country's major cities and avoid the spread of the epidemic in neighboring countries.
As a reminder, the recommendations of the MULTISECTORAL COMMITTEE OF THE EBOLA VIRUS DISEASE RESPONSE are as follows:
On 2019-10-10 12:11:25, user GuyguyKabundi Tshima wrote:
EPIDEMIOLOGICAL SITUATION
EVOLUTION OF THE EPIDEMIC IN THE PROVINCES OF NORTH KIVU AND ITURI AT OCTOBER 06, 2019<br /> Monday, October 07, 2019<br /> Since the beginning of the epidemic, the cumulative number of cases is 3,205, of which 3,091 are confirmed and 114 are probable. In total, there were 2,142 deaths (2028 confirmed and 114 probable) and 1006 people healed.<br /> 363 suspected cases under investigation;<br /> 1 new confirmed case at CTE in North Kivu at Oicha;<br /> No new confirmed deaths<br /> 2 people healed from Butembo CTE;<br /> No health workers are among the newly confirmed cases. The cumulative number of confirmed / probable cases among health workers is 161 (5% of all confirmed / probable cases), including 41 deaths.
NEWS
7 people healed from Ebola Virus Disease released Monday at Komanda CTE<br /> - A total of 7 people cured of Ebola Virus Disease were released on Monday October 7th at the Ebola Treatment Center (ETC) in Komanda. ;<br /> - This is 4 people from Mambasa and 3 cases from Komanda Health Zone to whom discharge certificates were given by the director of this Ebola Treatment Center<br /> - This certificate of discharge bears as inscription: "On the date of issue of this document the bearer of this certificate does not present any risk of contaminating other people, because his test was negative for the Ebola virus disease. He / she is thus DECLARE GUERI (E) . His current state of health is not a danger to the community. That is why he / she can return to his household and his professional environment to continue the daily activities. The family, the community and the authorities are asked to welcome him to promote his social integration ".
VACCINATION
MONITORING AT ENTRY POINTS
As a reminder, the recommendations of the MULTISECTORAL COMMITTEE OF THE RESPONSE TO EBOLA VIRUS DISEASE are as follows:
On 2019-10-17 18:36:39, user GuyguyKabundi Tshima wrote:
EVOLUTION OF THE EPIDEMIC IN THE PROVINCES OF NORTH KIVU AND ITURI AS OF OCTOBER 15, 2019
Wednesday, October 16, 2019<br /> Since the beginning of the epidemic, the cumulative number of cases is 3,227, of which 3,113 are confirmed and 114 are probable. In total, there were 2,154 deaths (2040 confirmed and 114 probable) and 1038 people healed.<br /> 530 suspected cases under investigation;<br /> 3 new confirmed cases, including:<br /> No cases in North Kivu;<br /> 3 in Ituri in Mandima;<br /> 1 new confirmed death, of which:<br /> 1 community death in Ituri in Mandima;<br /> No confirmed deaths;<br /> 2 people healed from the CTE in Ituri in Mambasa;<br /> No health workers are among the newly confirmed cases. The cumulative number of confirmed / probable cases among health workers is 161 (5% of all confirmed / probable cases), including 41 deaths.
NEWS
The state of play of the response at the center of an interview in Goma between the Technical Secretary of the CMRE and the United Nations Emergency Coordinator for Ebola<br /> - The Technical Secretary of the Multisectoral Committee on Epidemic Response to Ebola Virus Disease (ST / CMRE), Prof. Jean Jacques Muyembe Tamfum, granted a hearing on Wednesday, October 16, 2019 in Goma to the United Nations Emergency Coordinator for Ebola;<br /> - During their meeting, the two personalities discussed the state of play of the response to the 10th Ebola Virus Disease outbreak and the security situation in the areas affected by this epidemic;<br /> - It should be noted that the 10th Ebola epidemic has been taking place in the Democratic Republic of the Congo in areas of armed conflict, particularly in the provinces of North Kivu and Ituri, for more than a year;<br /> - Some time before this meeting, the technical secretary of the Multisectoral Committee for the Response to the Ebola Virus Disease Epidemic (ST / CMRE), Prof. Muyembe Tamfum, who is currently staying in Goma, North Kivu to inquire about the evolution of the response, chaired the morning meeting of the general coordination of the Ebola response to the epidemic.
Pygmies at Mahombo camp in Mambasa territory in Ituri pledge to fight Ebola Virus Disease
VACCINATION
MONITORING AT ENTRY POINTS
As a reminder, the recommendations of the MULTISECTORAL COMMITTEE OF THE RESPONSE TO EBOLA VIRUS DISEASE are as follows:
On 2019-11-17 04:20:48, user GuyguyKabundi Tshima wrote:
EVOLUTION OF THE EPIDEMIC IN THE PROVINCES OF NORTH KIVU AND ITURI AS AT NOVEMBER 15, 2019<br /> Saturday, November 16, 2019<br /> • Since the beginning of the epidemic, the cumulative number of cases is 3,292, of which 3,174 are confirmed and 118 are probable. In total, there were 2,195 deaths (2077 confirmed and 118 probable) and 1070 people healed.<br /> • 517 suspected cases under investigation;<br /> • No new confirmed cases;<br /> • No new deaths of confirmed cases have been recorded;<br /> • No cured person has emerged from CTEs;<br /> • No health worker is among the new confirmed cases. The cumulative number of confirmed / probable cases among health workers is 163 (5% of all confirmed / probable cases), including 41 deaths.
NEWS
Goma opens leadership capacity building workshop for Ebola epidemic response to Ebola Virus Disease.
• The coordinator of the epidemic response to Ebola Virus Disease in North and South Kivu Province and Ituri, Prof. Steve Ahuka Mundeke, opened this Saturday, November 16, 2019 in Goma North Kivu a workshop on building the capacity of actors involved in the response against Ebola;<br /> • For four days, participants, coordinating and sub-coordinating officers from the response, the Ministry of Health, the World Health Organization (WHO), national security, CDC and DFID will be equipped with management skills epidemics before, during and after the tenth epidemic of Ebola Virus Disease, especially in the event of any outbreak;<br /> • According to Prof. Ahuka, this workshop will not only benefit this epidemic, but will help, through acquired skills, to cope with other epidemics or other crises in a collective and individual way. " Each participant will be able to use these skills in his daily life ," he concluded;<br /> • This training for the response officers, from 16 to 20 November 2019, is organized by the Ministry of Health in collaboration with WHO with funding from UKaid from the British people.
VACCINATION
• 93 people were vaccinated with the 2nd Ad26.ZEBOV / MVA-BN-Filo vaccine (Johnson & Johnson) in the two Health Zones of Karisimbi in Goma;<br /> • Since the start of vaccination on August 8, 2018 with the rVSV-ZEBOV vaccine, 252,835 people have been vaccinated;<br /> • Approved October 22, 2019 by the Ethics Committee of the School of Public Health of the University of Kinshasa and October 23, 2019 by the National Ethics Committee, the second vaccine, called Ad26.ZEBOV / MVA-BN -Filo, is produced by Janssen Pharmaceuticals for Johnson & Johnson;<br /> • This new vaccine complements the first, the rVSV-ZEBOV, vaccine used until then (since August 08, 2018) in this outbreak, manufactured by the pharmaceutical group Merck, after approval of the Ethics Committee on May 20, 2018. It has recently been approved.
MONITORING AT ENTRY POINTS
• Since the beginning of the epidemic, the total number of travelers checked (temperature rise) at the sanitary control points is 117,333,420 ;<br /> • To date, a total of 112 entry points (PoE) and sanitary control points (PoCs) have been set up in the provinces of North Kivu and Ituri to protect the country's major cities and prevent the spread of the epidemic in neighboring countries.
As a reminder, the recommendations of the MULTISECTORAL COMMITTEE OF THE RESPONSE TO EBOLA VIRUS DISEASE are as follows:
On 2019-11-30 16:39:58, user Guyguy wrote:
EVOLUTION OF THE EPIDEMIC IN THE PROVINCES OF NORTH KIVU AND ITURI AT NOVEMBER 26, 2019<br /> Wednesday, November 27, 2019<br /> • Since the beginning of the epidemic, the cumulative number of cases is 3,304, of which 3,186 are confirmed and 118 are probable. In total, there were 2,199 deaths (2081 confirmed and 118 probable) and 1077 people cured.<br /> • 366 suspected cases under investigation;<br /> • No new confirmed cases;<br /> • No new deaths among confirmed cases;<br /> • No cured person has emerged from CTEs;<br /> • No health worker is among the new confirmed cases. The cumulative number of confirmed / probable cases among health workers is 163 (5% of all confirmed / probable cases), including 41 deaths.
NEWS
Closure of training of Ebola Rapid Response Teams in Goma
• The Ebola response coordinator for the Ebola response to operations, Dr. Luigino Mikulu, closed on Wednesday 27 November 2019 the training of Rapid Response Teams (RRTs), composed of units of the Armed Forces. (FARDC) and the Congolese National Police (PNC), on the Ebola virus disease that took place in Goma, capital of North Kivu Province from 22 to 26 November 2019;<br /> • For Dr. Luigino, this team is the first in the Rapid Response Teams to be composed of elements from other sectors, such as those of the Ministries of Defense and Security and the Ministry of the Interior;<br /> • This training aligns with the vision of the Technical Secretariat of the Multisectoral Ebola Virus Disease Response Committee (ST / CMRE), through the overall coordination of the response, to expand its mixed and multidisciplinary teams available and able to intervene 24 hours a day, 7 days a week and everywhere, where they will be deployed, not only for the response to this epidemic to Ebola Virus Disease, but also for other epidemics;<br /> • This training was a pride for WHO to accompany the Ministry of Health in order to capitalize the capacity building of FARDC and PNC units in public health;<br /> • The participants, in turn, reassured the overall coordination of the response, the Ministry of Health and all those who contributed to the delivery of this training, particularly to WHO and all facilitators, to be faithful disciples in the field by putting into practice all the notions learned during these sessions;<br /> • At the end of this training, the thirty participants, including the facilitators, received a participation certificate.
VACCINATION
• Despite the tense situation of the city of Beni, a vaccination ring was opened around the confirmed case of 24 October 2019 in the Kanzulinzuli Health Area of the General Reference Hospital;<br /> • 724 people were vaccinated, until Tuesday, November 26, 2019, with the 2nd Ad26.ZEBOV / MVA-BN-Filo vaccine (Johnson & Johnson) in the two health zones of Karisimbi in Goma;<br /> • Since the start of vaccination on August 8, 2018 with the rVSV-ZEBOV vaccine, 255,247 people have been vaccinated;<br /> • Approved October 22, 2019 by the Ethics Committee of the School of Public Health of the University of Kinshasa and October 23, 2019 by the National Ethics Committee, the second vaccine, called Ad26.ZEBOV / MVA-BN -Filo, is produced by Janssen Pharmaceuticals for Johnson & Johnson;<br /> • This new vaccine is in addition to the first, the rVSV-ZEBOV, vaccine used until then (since August 08, 2018) in this epidemic manufactured by the pharmaceutical group Merck, after approval of the Ethics Committee on May 20, 2018. has recently been pre-qualified for registration.
MONITORING AT ENTRY POINTS
• Sanitary control activities are disrupted in the towns of Beni and Butembo in North Kivu province following demonstrations by the population which decries killings of civilians;<br /> • Since the beginning of the epidemic, the total number of travelers checked (temperature measurement ) at the sanitary control points is 121,159,810 ;<br /> • To date, a total of 109 entry points (PoE) and sanitary control points (PoCs) have been set up in the provinces of North Kivu and Ituri to protect the country's major cities and prevent the spread of the epidemic in neighboring countries.
As a reminder, the recommendations of the MULTISECTORAL COMMITTEE OF THE RESPONSE TO EBOLA VIRUS DISEASE are as follows:
On 2020-01-25 07:04:43, user Roc Duan wrote:
Considering only air travel may have significantly distorted the model. As a result, it may incorrectly predict a faster spread.
On 2020-01-31 12:47:48, user Jonathan Li wrote:
Hi, how can I download this article? Very interested to read details because my prediction is it reaches peak point around 6th March then ends on early June. Thanks.
On 2020-02-02 13:28:10, user lily absence wrote:
Dear authors:<br /> I want to know the details of the model, where can I find Methods Supplement?
On 2020-02-13 11:26:17, user ClosedCloak wrote:
I couldn't find any information about the data of bed numbers in 99.com.cn. The authors should clarify it.
On 2020-03-13 02:25:01, user Thomas J Janstrom wrote:
In light of the index patient now being traced back to a 55yo male in Wuhan who became symptomatic on the 17/11/2019 how will this alter the predicted cases as per your paper?
On 2020-05-13 18:37:05, user Matthew Spinelli wrote:
Would recommend you present odds ratios from your conditional logistic regression instead of an unmatched t-test in table 2. Important work!
On 2021-07-28 14:18:10, user H. wrote:
5,372 were excluded from study due to infection how many had any vaccine? 795 not considered vaccinated how many had vaccine injection? These are important questions.
On 2021-07-29 23:48:53, user Nicholas Morrish wrote:
What if the IgG you were reading was from something else, like SV40? Anecdotal evidence of pregnant women tested in the same regions showed that roughly ~10% of the populace had a SV40 infection.
On 2020-10-21 23:20:22, user Melimelo wrote:
Very useful study. Any chance you could do this study with warm salt water as one of the gargling solutions? maybe try different salt concentrations?
On 2020-04-21 20:54:48, user Dr. Héctor Musacchio wrote:
I am confused about the interpretation of this study. Asymptomatic people who are tested, most likely are false positives. I would like to know the opinion of the authors
On 2020-04-17 23:52:12, user Daniel H Vlad, PhD wrote:
Dear Author, <br /> I appreciate your efforts to shed light on this very important topic but I believe the article has a major bias, which is indeed mentioned in the article.<br /> "Other biases, such as ... bias favoring those with prior COVID-like illnesses seeking antibody confirmation are also possible. The overall effect of such biases is hard to ascertain. "
I think this is a very serious bias and let me explain why. It's very likely that your Facebook ads attracted a fair number of participants that were concerned they may have been infected with Covid-19. People who had experienced Covid-like symptoms in the recent past were more likely to pay attention to your Facebook ad and were also more likely to enroll in your study. Therefore your sample is not random.<br /> Let's make some reasonable assumptions. Let's assume that 10% of your sample, or 333 participants had Covid-19 like symptoms in the past and were seeking antibody confirmation. I believe this percentage is very reasonable. <br /> According to California statistics, approximately 25% of people tested for Covid-19 test positive. It could be very reasonable to assume that 15% of these 333 participants seeking antibody confirmation had been indeed infected. So that will equal to 50 positive participants, or the entire number of antibody test positive participants in your sample.<br /> The example above proves that this bias is a valid concern. Your entire list of 50 antibody positive participants could have been participants seeking antibody confirmation.
There are several ways to remove the bias:<br /> a. You mention in the article that you asked survey participants if they had prior clinical symptoms. You should try to exclude all participants that had symptoms (fever, chest pressure) similar to Covid-19 this year. This will indeed exclude all people that were ill, not only those who replied to the add to seek antibody confirmation. However, it will give you insight into the percentage of silent Covid-19 carriers, which is a question as important as the question you are trying to answer, and in a way equivalent. And the results will be unbiased. <br /> b. Attempt to adjust for this bias. Calculate the percentage of participants in your sample who experienced Covid-19 symptoms and compare this with reasonable epidemiological data. Calculate a weight and apply it to your sample in addition to your zip-sex-race weights.
Regards, Daniel H. Vlad, PhD.
On 2020-04-18 17:13:58, user Animesh Ray wrote:
I do not believe these conclusions. A crucial control for the estimate of false positive detection by their method is grossly inadequate. This manuscript should not have seen the light of the day in this form, let alone be published even in a pre-print format because of the sensitivity of the topic.
Here is the reason: The common cold coronaviruses that could potentially cross-react to existing pre-COVID19 IgM/IgG are quite prevalent in the population. To address this, the authors tested 30 pre-COVID19 sera.
Given an unadjusted detection rate of 2.8% seropositives in post-COVID-19 samples, if all were false positives, they needed to test, for 99% confidence, a MINIMUM of log(0.01)/log(0.972) = 162 pre-COVID19 sera of similar demographics (age/sex/location).
Instead, they tested only 30!
[They do cite the kit validation data by the supplier/vendor as having tested 371 negative samples--this is as spurious an argument as stating that a q.RT-PCR kit produced x frequency of true negatives by the supplier and therefore we don't need to do the appropriate control in our experiment!! This statement has no place in a scientific publication other than trying to obfuscate the real weight of the lack of sufficient control to determine the false positive rates.]
On this basis I cannot attach any value to this report.
These false conclusions, given the current pre-print version, are dangerous because they could be naively interpreted to imply a lesser morbidity of COVID19 than the current numbers otherwise suggest.
I fear that this pre-print will now be used by the public media and sections of political interest groups to advocate for lesser stringency in COVID-19 pandemic control than desirable, and might lead to unfortunate loss of lives.
On 2020-04-21 15:33:02, user ?????Ozymandias????? wrote:
I'm just an undergrad with no expertise, but based on Bayesian logic, when the sensitivity of a test isn't perfect, and given the low prevalence of a trait in a population, won't the test tend to elicit enough false-positives to cloud the results?
On 2022-08-26 08:21:01, user Josh Atkins wrote:
Full article published at JNCI : https://doi.org/10.1093/jnc...
On 2022-10-20 16:49:56, user Stefan Heber wrote:
There is already an article published in a journal corresponding to this preprint:
On 2022-10-24 11:51:28, user Indi Trehan wrote:
This article has now been published after peer review: The Journal of Pediatrics 2022; 247: 147-149. doi: 10.1016/j.jpeds.2022.05.006.
On 2022-12-04 06:38:01, user Jianyu Lai wrote:
This manuscript is now published in Microbiology Spectrum. DOI: https://doi.org/10.1128/spe...
On 2023-04-12 16:21:36, user Lizeth Perales wrote:
Hello, I would love to get access to the data. Please let me know if that is possible! thank you in advance
On 2020-04-06 19:55:46, user Sinai Immunol Review Project wrote:
Clinical Characteristics of 2019 Novel Infected Coronavirus Pneumonia:A Systemic Review and Meta-analysis
The authors performed a meta analysis of literature on clinical, laboratory and radiologic characteristics of patients presenting with pneumonia related to SARSCoV2 infection, published up to Feb 6 2020. They found that symptoms that were mostly consistent among studies were sore throat, headache, diarrhea and rhinorrhea. Fever, cough, malaise and muscle pain were highly variable across studies. Leukopenia (mostly lymphocytopenia) and increased white blood cells were highly variable across studies. They identified three most common patterns seen on CT scan, but there was high variability across studies. Consistently across the studies examined, the authors found that about 75% of patients need supplemental oxygen therapy, about 23% mechanical ventilation and about 5% extracorporeal membrane oxygenation (ECMO). The authors calculated a staggering pooled mortality incidence of 78% for these patients.
Critical analysis:<br /> The authors mention that the total number of studies included in this meta analysis is nine, however they also mentioned that only three studies reported individual patient data. It is overall unclear how many patients in total were included in their analysis. This is mostly relevant as they reported an incredibly high mortality (78%) and mention an absolute number of deaths of 26 cases overall. It is not clear from their report how the mortality rate was calculated. <br /> The data is based on reports from China and mostly from the Wuhan area, which somewhat limits the overall generalizability and applicability of these results.
Importance and implications of these findings in the context of the current epidemics:<br /> This meta analysis offers some important data for clinicians to refer to when dealing with patients with COVID-19 and specifically with pneumonia. It is very helpful to set expectations about the course of the disease.
On 2020-06-01 16:23:11, user OxImmuno Literature Initiative wrote:
On 2023-09-22 06:06:43, user Anikó Lovik wrote:
This preprint has not been published in The Lancet Regional Health - Europe with DOI: https://doi.org/10.1016/j.l...<br /> Please read and cite the updated new version. Thank you.
On 2023-12-12 14:56:15, user Tanmoy Sarkar Pias wrote:
This paper has been accepted to an IEEE conference. A link (& DOI) to the IEEE Xplore will be added when this article is published. Please see the following copy right details of IEEE.
2023 26th International Conference on Computer and Information Technology (ICCIT), 13-15 December, Cox’s Bazar, Bangladesh
979-8-3503-5901-5/23/$31.00 ©2023 IEEE
On 2023-12-19 12:39:03, user Christos Proukakis wrote:
Response to: “Is Gauchian genotyping of GBA1 variants reliable?”
Marco Toffoli1,2, Anthony HV Schapira1,2, Fritz J Sedlazeck2,3,4, Christos Proukakis1,2 *
* To whom correspondence should be addressed: c.proukakis@ucl.ac.uk
We recently described two methods for GBA1 analysis, which is hampered by the adjacent highly homologous pseudogene: Gauchian, a novel algorithm for analysis of short-read WGS, and targeted long-read sequencing 1. Tayebi et al have applied the former to WGS from 95 individuals, and compared it to Sanger sequencing 2. They report concordant genotypes in 85, while 11 had discrepant calls (we note that this leads to a total of 96). In addition, they report 28 false Gauchian calls in 1000 Genomes Project (1kGP) samples. Gauchian was developed because the homology of the GBA region requires a short read variant caller that does not rely solely on read alignments, and can identify specific variants known to be pathogenic. To understand the cause of these discrepancies, we reviewed their data, and conclude that they are mis-interpreting Gauchian results in 8 of the 11 discrepant samples, and incorrectly using Gauchian to analyze low-coverage 1kGP samples.
Among the 11 (11.5%) samples with inconsistent calls with Sanger (Table 1), four (Pat_08, Pat_26, Pat_28 and Pat_58) were not called as the variants are not on Gauchian’s target list, which includes all ClinVar variants in December 2021. These variants, and any others, can be easily added (see Supplementary Information). Three other samples (Pat_75, Pat_76 and Pat_79) had low data quality resulting in large variation in sequencing depth across the genome, as shown by the median absolute deviation (MAD) of genome coverage: 0.269, 0.128 and 0.127 (three highest values among all samples). Gauchian recommends trusting calls in samples with MAD values <0.11, and produces a warning message if this is exceeded. In all three samples, the GBA1+GBAP1 copy number was a no-call (marked as “None” in the output file), indicating that Gauchian could not determine the copy number due to high coverage variation. Variants were not called because no further analysis was done beyond copy number calling. These should not be viewed as false negatives, as the warning message and the report of no-calls should prompt the user to obtain higher quality data or consider alternative sequencing. Among the remaining 4 samples with inconsistent results: Pat_03 had a Gauchian call of heterozygosity for p.Asn409Ser, while Sanger reports this as homozygous. Review of the IGV trace (Tayebi et al. Supp Figure 1) shows that at least 10 reads (around a fifth of the total) have the reference base, and therefore it is hard to conclude this is homozygous. Review of the Sanger trace (not provided) could determine whether there is a low peak representing the reference allele. We cannot provide a conclusion, and additional analysis is recommended. Mosaicism could be a plausible explanation, and this has been reported in GBA1 3,4, albeit not at this position. Pat_47 had a false negative p.Leu483Pro call. Pat_16 was indeed wrongly genotyped as homozygous for p.Asn409Ser, related to the adjacent c.1263del+RecTL deletion. Pat_92 had all expected variants called, but the heterozygous p.Asp448His was mis-genotyped as homozygous. In summary, there is one false negative and two wrongly genotyped variants (heterozygous variants called homozygous). Gauchian’s precision is therefore 98.9% (175 out of 177 calls are correct). Its allele-level recall/sensitivity is 99.4% after excluding alleles not on Gauchian’s target list, and samples which could not be analyzed due to high coverage variation. Alternatively, it can be calculated as 97.2% if only samples with high coverage variation are excluded, 96.2% if only alleles not on the target list are excluded, and 94.1% if all these samples are considered .
Tayebi et al. concluded that Gauchian is not able to call recombinant variants without providing orthogonal evidence. In Pat_95, Pat_71 and Pat_16, they examined alignments in IGV and reported absence of supporting reads for Gauchian calls, but all recombinant alleles called by Gauchian were consistent with Sanger. This highlights that read mapping in this region is unreliable (variant supporting reads may align to the pseudogene), making interpretation of alignments in IGV very challenging. Gauchian is designed to untangle ambiguous alignments, locally phase haplotypes and make correct calls. Particularly, in Pat_95, they claimed that Gauchian called the expected RecNciI variant but got the mechanism of the recombinant allele wrong (gene conversion vs. gene fusion). This claim appears to be based on incorrect interpretation of IGV alignments, i.e. seeing 3’ UTR mismatches associated with GBAP1 does not necessarily indicate gene fusion, as they can be misalignments, or even part of the gene conversion. The RecNciI in Pat_95 is a gene conversion, as indicated by the normal copy number between GBAP1 and GBA1. Tayebi et al. claimed that this is a gene fusion without orthogonal evidence. In addition, they claimed that Gauchian misreported copy numbers in Pat_92, Pat_42 and Pat_72, again without orthogonal evidence. We validated Gauchian copy number gains by digital PCR in four cases 1. While particular recombinants could be prone to erroneous copy number calling, we do not know what “other techniques'' identified a different copy number in Pat_92. Orthogonal validation using digital PCR would resolve this. Finally, it is true that Gauchian does not have all possible recombinants on its target list, as it is designed to focus on recombinant variants in exons 9-11, because others are rare and detectable with standard callers.
Tayebi et al. reported 4 samples where Gauchian missed variants in GRCh38 compared to GRCh37. Among these, two (Pat_35, Pat_75) were due to incorrect alignment settings that resulted in abnormally low mapping quality throughout the region. It is likely that ALT-aware alignment was on for all samples except these two. The remaining two (Pat_16, Pat_78) reflected an area of improvement for Gauchian to better call p.Asn409Ser, which is not a GBAP1-like variant, and can thus be called well by standard callers.
We reported Gauchian calls of 1000 Genomes Project (1kGP) samples, validating some by targeted long reads 1. Gauchian called zero samples with biallelic variant in exons 9-11. However, Tayebi et al. reported a completely different set of Gauchian calls in the same samples (in their Table 4). This was caused by incorrect use of Gauchian on old low coverage WGS (median coverage <10X, https://ftp.1000genomes.ebi... "https://ftp.1000genomes.ebi.ac.uk/vol1/ftp/phase3/data/)"), rather than 30X (https://ftp-trace.ncbi.nlm.... "https://ftp-trace.ncbi.nlm.nih.gov/1000genomes/ftp/1000G_2504_high_coverage/data/)").
We are grateful to Tayebi et al for assessing Gauchian analysis of this very challenging gene 2, but note that most discrepancies were due to incorrect use or misinterpretation of results. “No call” samples due to inadequate data quality cannot be considered false negative, as no calls are provided, and warnings of noisy coverage are given where applicable. Samples with inadequate coverage should obviously be avoided, as Gauchian is expected to perform at coverage >30X. Gauchian does not call variants not on its target list, which can be expanded. We provide updated recall (99.4%) and precision (98.9%) values. We have not seen any evidence of the alleged inability of Gauchian to call recombinant variants, and would welcome orthogonal copy number assessment of discrepancies. We show that Gauchian can be used for GBA1 assessment when coverage and data quality are adequate. We do note a limitation in genotyping p.Asn409Ser, a non-recombinant variant that can be called by standard variant callers, which we recommend running together with Gauchian for a complete call set. Finally, in clinical cases where absolute certainty is required, Sanger sequencing could be considered, with targeted long read sequencing another option 1,5–7.
Table 1. Details on the 11 samples where Gauchian and Sanger are inconsistent.
Gauchian calls Sanger Assessment,Tayebi et al. Our assessmentSample Copy Number of GBA1 and GBAP1 GBAP1-like variant in exons 9-11 Other unphased variants Genotype Prediction
Pat_08 4 None p.Asn409Ser p.Asn409Ser/p.Gln389Ter False Negative Missed variant is not on Gauchian's target list
Pat_28 4 None p.Arg535His p.Arg535His/Cys381Tyr False Negative Missed variant is not on Gauchian's target list
Pat_58 4 None p.Asn409Ser, p.Arg296Ter p.Asn409Ser, p.Arg296Ter, c.203delC False Negative Missed variant is not on Gauchian's target list
Pat_26 4 None p.Asn409Ser p.Asn409Ser/p.Arg502Cys False Negative Missed variant is not on Gauchian's target list.
Tayebi et al.’s Supplementary Figure 1 shows no variant at p.Arg502Cys (c.1504C>T), but a different variant at the neighboring position, p.Arg502His (c.1505G>A), which is not on Gauchian's target list.
Pat_75 None (No Call) NA NA p.Arg502Cys/p.Arg159Trp Missed Copy number is a no-calldue to high variation in depth so no further variant calling was performed. Coverage MAD 0.269
Pat_76 None (No Call) NA NA p.Asn409Ser/p.Asn409Ser Missed Copy number is a no-call due to high variation in depth so no further variant calling was performed. Coverage MAD 0.128
Pat_79 None (No Call) NA NA p.Leu483Pro/p.Arg502Cys Missed Copy number is a no-call due to high variation in depth so no further variant calling was performed. Coverage MAD 0.127
Pat_03 4 None p.Asn409Ser p.Asn409Ser/p.Asn409Ser False Negative Gauchian call is supported by reads, see Tayebi et al.’s Supplementary Figure 1.
Pat_47 4 None p.Asn409Ser p.Asn409Ser/p.Leu483Pro False Negative True false negative
Pat_16 3 c.1263del+RecTL/ p.Asn409Ser, p.Asn409Ser p.Asn409Ser, c.1263del+RecTL False Positive Heterozygous p.Asn409Ser misgenotyped as homozygous as Gauchian did not know the exact breakpoint of the c.1263del+RecTL deletion, which is very close to p.Asn409Ser.
Pat_92 7 p.Asp448His/p.Leu483Pro,p.Asp448His p.Asp448His/ p.Leu483Pro+Rec7 False Negative There is no false negative. Rec7 is reflected in the copy number call (copy number gain). This GBAP1 duplication does not have any functional impact on GBA, so Gauchian does not report it as a GBA variant. Heterozygous p.Asp448His misgenotyped as homozygous.
Acknowledgements
We are grateful to Xiao Chen and Michael Eberle for helpful comments. They are former employees of Illumina and current employees of Pacific Biosciences. This research was funded in in part by Aligning Science Across Parkinson's [Grant numbers 000430 and 000420] through the Michael J. Fox Foundation for Parkinson's Research (MJFF).
Competing interests
FJS receives research support from PacBio and Oxford Nanopore. AHVS has received consulting fees from AvroBio, Auxilius, Coave, Destin, Enterin, Escape Bio, Genilac, and Sanofi and speaking fees from Prada Foundation.
Supplementary Information
Add new variants to Gauchian’s config file
The four new variants can be added to Gauchian’s config file as follows.
For hg38, add the following lines to gauchian/data/GBA_target_variant_38.txt
chr1 155236304 A GBAP G c.1165C>T(p.Gln389Ter)<br /> chr1 155236327 T GBAP C c.1142G>A(p.Cys381Tyr)<br /> chr1 155239989 CGGGGGT GBAP CGGGGGGT c.203delC(p.Thr69fs)
Add the following line to gauchian/data/GBA_target_variant_homology_region_38.txt<br /> chr1 155235195 T 155214568 C c.1505G>A(p.Arg502His)
For GRCh37, add the following lines to gauchian/data/GBA_target_variant_37.txt<br /> 1 155206095 A GBAP G c.1165C>T(p.Gln389Ter)<br /> 1 155206118 T GBAP C c.1142G>A(p.Cys381Tyr)<br /> 1 155209780 CGGGGGT GBAP CGGGGGGT c.203delC(p.Thr69fs)
Add the following line to gauchian/data/GBA_target_variant_homology_region_37.txt<br /> 1 155204986 T 155184359 C c.1505G>A(p.Arg502His)
Bibliography
Toffoli, M. et al. Comprehensive short and long read sequencing analysis for the Gaucher and Parkinson’s disease-associated GBA gene. Commun. Biol. 5, 670 (2022).
Tayebi, N., Lichtenberg, J., Hertz, E. & Sidransky, E. Is Gauchian genotyping of GBA1 variants reliable? medRxiv (2023) doi:10.1101/2023.10.26.23297627.
Filocamo, M. et al. Somatic mosaicism in a patient with Gaucher disease type 2: implication for genetic counseling and therapeutic decision-making. Blood Cells Mol. Dis. 26, 611–612 (2000).
Hagege, E. et al. Type 2 Gaucher disease in an infant despite a normal maternal glucocerebrosidase gene. Am. J. Med. Genet. A 173, 3211–3215 (2017).
Pachchek, S. et al. Accurate long-read sequencing identified GBA1 as major risk factor in the Luxembourgish Parkinson’s study. npj Parkinsons Disease 9, 156 (2023).
Graham, O. E. E. et al. Nanopore sequencing of the glucocerebrosidase (GBA) gene in a New Zealand Parkinson’s disease cohort. Parkinsonism Relat. Disord. 70, 36–41 (2020).
Leija-Salazar, M. et al. Evaluation of the detection of GBA missense mutations and other variants using the Oxford Nanopore MinION. Mol. Genet. Genomic Med. 7, e564 (2019)
On 2024-03-05 22:33:49, user Po-Kai Yang wrote:
Hi, I am the author of this preprint. The paper was published on https://jneuroengrehab.biom...
Could you make a link to the published version? Thank you!
On 2024-03-15 12:33:53, user Robin Walters wrote:
This is published, Nature Genetics 55,<br /> 410–422
On 2024-04-11 17:53:00, user eysen wrote:
JMIR Publications and PREreview are pleased to announce our next Preprint Live Review on Friday, April 19 at 9am PT / 12pm ET / 4pm UTC which discusses this preprint
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The Live Review is hosted by two facilitators from the PREreview team with experience in moderating virtual collaborative review discussions. They will guide participants through a constructive discussion of the following preprint: Assessing the Incidence of Postoperative Diabetes in Gastric Cancer Patients: A Comparative Study of Roux-en-Y Gastrectomy and Other Surgical Reconstruction Techniques - by Tatsuki Onishi
Live Review Details:
WHEN: Friday, April 19 at 9am PT / 12pm ET / 4pm UTC
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WHAT: The participants will be guided through a constructive discussion of the following preprint: Assessing the Incidence of Postoperative Diabetes in Gastric Cancer Patients: A Comparative Study of Roux-en-Y Gastrectomy and Other Surgical Reconstruction Techniques - by Tatsuki Onishi medRxiv: https://doi.org/10.1101/202...
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On 2024-05-03 15:04:37, user Tamy wrote:
I am happy to see someone taking an interest in this horrific condition. My daughter has suffered for over 9 years and the mental toll, as well as, the physical toll it has taken on her overall well being has been life changing! Thank you for giving these sufferers some validation!
On 2020-08-24 17:31:53, user Mercer Creed wrote:
Where is the information regarding controls?
On 2025-03-09 21:02:55, user Dr. DP wrote:
Dear authors,<br /> Will this article be peer-reviewed/is there a path to peer-review being explored?
On 2025-05-01 12:48:20, user Ravi Sharma wrote:
Ladies and Gentlemen,
in loving memory of my late, beloved mother, a type 2 diabetic since my birth, I dedicate this research to harnessing the beneficial power of gen-AI to banish GDM from the face of the earth.
I salute my industrious and loyal research group for their dedication in this journey.
Until our work is published and linked to this DoI, kindly cite this preprint as ...
Edmund Evangelistaa, Fathima Rubab, Syed M. Salman Bukhari, Amril Nazir and Ravishankar Sharma. (2025). "Developing a GraphRAG-enabled local-LLM for Gestational Diabetes Mellitus." medRxiv preprint doi: https://medrxiv.org/cgi/content/short/2025.04.28.25326568v1
With kind regards and best wishes, Ravi
On 2022-01-27 21:10:24, user Siguna Mueller, PhD, PhD wrote:
I find it difficult to see how many individuals were in each group. I may, or may not, be able to guess some proportions. For instance, Fig. 4 suggests that there were not many in the booster group, if any at all. (This is because boosters obviously were only rolled out not too long ago). Is the small peak at approx. 35 days since injection attributable to the booster group? If so, this makes me wonder if they were sufficiently many to be statistically relevant. Again, I find it hard to infer exact numbers of participants in the different groups. This info would really be helpful. Thanks.
On 2022-02-14 04:09:55, user RBNZ wrote:
"The estimates are furthermore adjusted for vaccine status of the potential secondary case interacted with the household variant, and the vaccine status of the primary case. "
There is no information included as to how vaccination status adjusts the odds ratio.
On 2022-02-03 14:15:23, user Matt Thrun-Nowicki wrote:
Given previous studies’ evidence of a poor association between RAT results and viral culturability based on # of days after symptom onset, you guys might wanna wait to publish this paper until after those viral cultures result.
In addition, your explanation of why booster’d HCW had higher positive RAT’s is a little baffling. If your explanation was correct, wouldn’t you expect to see the percentage of positive RAT’s among booster’d HCWers drop over time, and those of unbooster’d go up? What about confounders (like demographics of the booster’d vs unbooster’d)?
On 2025-09-07 20:13:12, user S S Young wrote:
Milojevic et al. 2014 had access to all emergency room visits for all of England and Wales for the years 2003 to 2008, over 400,000 myocardial infarction (MI) events, and over 2 million CVD emergency hospital admissions. They found no effect of CO, NO2, Ozone, PM10, PM2.5, or SO2 on heart attacks, hospital admissions, or mortality, their Figures 1 and 2.
Milojevic, A., Wilkinson, P., Armstrong, B., Bhaskaran, K., Smeeth, L., Hajat, S. 2014. Short-term effects of air pollution on a range of cardiovascular events in England and Wales: Case-crossover analysis of the MINAP database, hospital admissions and mortality. Heart (British Cardiac Society) 100, 14: 1093-98. https://doi.org/10.1136/heartjnl-2013-304963 .
On 2022-02-03 18:10:45, user Rodrigo Zepeda wrote:
Methods equation 6. Y(t) is never defined. Is it the observed case count?
On 2022-02-07 10:26:48, user Daksya Siddhi wrote:
The article has now been published at<br /> https://journals.plos.org/p...
Supplemental data which includes tables on patient characteristics and D3 measurement is at<br /> https://app.dimensions.ai/d...
On 2020-04-19 16:51:41, user Sinai Immunol Review Project wrote:
Neutralizing antibody responses to SARS-CoV-2 in a COVID-19 recovered patient cohort and their implications
Fan Wu et al.; medRxiv 2020.03.30.20047365; doi:https://doi.org/10.1101/202...
Keywords
• Neutralizing antibodies<br /> • SARS-CoV-2<br /> • pseudotype neutralization assay
Main findings
In this study, plasma obtained from 175 convalescent patients with laboratory-confirmed mild COVID-19 was screened for SARS-CoV-2-specific neutralizing antibodies (nABs) by pseudotype-lentiviral-vector-based neutralization assay as well as for binding antibodies (Abs) against SARS-CoV-2 RBD, S1 and S2 proteins by ELISA. Kinetics of neutralizing and binding Ab titers were assessed during the acute and convalescent phase in the context of patient age as well as in relation to clinical markers of inflammation (CRP and lymphocyte count at the time of hospitalization). Across all age groups, SARS-CoV-2-specific nAbs titers were low within the first 10 days of symptom onset, peaked between days 10-15, and persisted for at least two weeks post discharge. In contrast to spike protein binding Abs, nAbs were not cross-reactive to SARS-CoV-1. Moreover, nAb titers moderately correlated with the amount of spike protein binding antibodies. Both neutralizing and binding Ab titers varied across patient subsets of all ages, but were significantly higher in middle-aged (40-59 yrs) and elderly (60-85) vs. younger patients (15-39 yrs). However, plasma nAb titers were found to be below detection level in 5.7% (10/175) of patients, i.e. a small number of patients recovered without developing a robust nAb response. Conversely, 1.14% (2/175) of patients had substantially higher titers than the rest. Notably, in addition to patient age, nAb titers correlated moderately with serum CRP levels but were inversely related to lymphocyte count on admission. In summary, the authors show that patients with clinically mild COVID-19 disease mount a strong humoral response against the SARS-CoV-2 spike protein. Compared to younger patients, middle-aged and elderly patients had both higher neutralizing and binding Ab titers, accompanied by increased CRP levels and lower lymphocyte counts. These patients are usually considered at higher risk of severe disease. Therefore, robust neutralizing and binding Ab responses may be particularly important for recovery in this patient subset. Conversely, patients who failed to produce high nAb/binding Ab titers against spike protein did not progress to severe disease, indicating that binding Abs against other viral epitopes as well as cellular immune responses are equally important.
Limitations
This study provides valuable information on the kinetics of spike protein-specific nAb as well as binding Ab titers in a cohort of convalescent mild COVID-19 patients of all ages. However, similar studies enrolling larger patient numbers, including those diagnosed with moderate and severe disease as well as survivors and non-survivors, especially in the elderly group (to rule out potential bias for more favorable outcome), are warranted for reliable assumptions on the potentially protective role of Abs and nAbs in COVID-19. Moreover, longitudinal observation beyond the acute and convalescent phase in addition to stringent clinical and immunological characterization is urgently needed. <br /> In their study, Wu et al. did not measure binding Abs against non-S viral proteins, which are also induced in COVID-19 and therefore could have added valuable diagnostic information with regard to patients who seemingly failed to mount both binding and neutralizing Ab responses against the SARS-CoV-2 spike protein. Likewise, while this study excluded cross-reactivity of nAbs against SARS-CoV-1, no other coronaviruses were tested. Of additional note, neutralizing activity of plasma Abs was only assessed by pseudotype neutralization assay, not against live SARS-CoV-2. Generally, while these are widely used and reproducible assays, in vitro neutralization of pseudotyped viruses does not necessarily translate to effective protection against the respective live virus in vivo (cf. review by Burton, D. Antibodies, viruses and vaccines. Nat Rev Immunol 2, 706–713 (2002)). Further studies are therefore needed to assess the specificity and neutralizing characteristics of these Abs to test whether they could be candidates for prophylactic and therapeutic interventions. In this context, setting arbitrary cut-off values (ID50<500 vs. a detection limit of ID50 < 40) and thus classifying up to 30% of patients in this study as “weak” responders does not take into account our currently limited knowledge regarding protective capacity of these nAbs and should therefore have been avoided by the authors.
Significance
This preprint is arguably the first report on neutralizing and binding Ab titers in a larger cohort of mild COVID-19 patients. Assessing Ab titers in these patients is not only important in order to confirm whether mild COVID-19 elicits robust nAb responses, but also adds further information regarding the use of plasma from mild disease patients for convalescent plasma therapy as well as vaccine design in general. Future studies will need to address now whether the nAb responses generated in mild disease will be protective or (functionally) different from nAbs generated in moderate and severe disease. The findings in this study are therefore of great relevance and should be further explored in ongoing research on potential coronavirus therapies and prevention strategies.
This review was undertaken as part of a project by students, postdocs and faculty at the Immunology Institute of the Icahn school of medicine, Mount Sinai.
On 2025-11-30 23:44:45, user Cyril Burke wrote:
[Note: This is the second of several rounds of review of an earlier version of our combined manuscript, aiming to reduce ‘racial’ disparity in kidney disease. The comments were kindly offered by nephrologists, through a medical journal, and we remain grateful to them for the time and care they gave to improve our manuscript.
We removed identifying features and included our responses, at the end of this comment. The changing title and line numbers refer to earlier versions.]
August 3, 2022<br /> Dear Dr. Burke III,
REDACTED.
Reviewer #1: Cyril O Burke III et al submit a revised version of their intriguing , unusual paper.
Overall, the paper remains extremely lengthy (the total , including clean and track versions and reply to reviewers is close to 200 pages !!) , whereas it contains relatively little original data.
The authors speculate and comment a lot (and most of these speculations/comments will hardly be understandable by the expected audience, primary care physicians), and this will in addition distract the reader from the main key message (which is right in the opinion of this reviewer (see first round of review) and warrants more attention and studies.
The race part is irrelevant for the key point (race does not change over time, and thus is not relevant when looking at longitudinal serum creatinine or eGFR) and should be deleted in the opinion of this reviewer. In this respect, I completely agree with the comment of reviewer 2 in the first round.
I can not resist quoting here the reply of the authors to reviewer 2. “This manuscript could be divided into three or four short papers, increasing the likelihood that any one of them would be read. However, different groups tend to read papers about screening for kidney impairment, racial disparities, cofactors in modeling physiologic parameters, or policy proposals to encourage best practices. Despite the appeal of perhaps three or four publications, we decided to tell a complete story in a single paper, but we are open to suggestions.”
My reply to their reply: nobody would read the current paper , even partially. Shorten, shorten, shorten please and focus on the key message.
Reviewer #2: Thank-you, once again, for the opportunity to review this lengthy “thesis-style” manuscript which discusses some important often over-looked topics. The under-use of serial creatinine measurements and over-reliance on often erroneous eGFR measurements is an important point which is easily missed by healthcare workers with potentially serious consequences. Likewise, the misuse of racial constructs in medicine (and elsewhere) is an important point.
I am satisfied with this re-submission and the changes which have been made to the original manuscript.
Minor points:<br /> 431: “creatinine inhibits several membrane transporters”. = Cimetidine
502: “Because mGFRs have population variation as wide as sCr, with much greater physiologic variability compared to the relatively stable sCr and serum cystatin C”<br /> As mentioned previously the cited article compares the variability of sCr and cystatin C with CrCl, I agree with the authors that CrCl is a form of mGFR, however, probably one of the poorer forms and not what a reader will think of when mGFR is mentioned. In our current age of medicine when we talk about mGFR CrCl is seldom included, studies reviewing methods of mGFR will seldom include CrCl, however CrCl may be compared to one of the mGFR methods. Likewise, if a patient is sent for a mGFR, a CrCl will not be performed. In our current age of medicine mGFR refers to methods such as the clearance of iohexol, iothalamate, Cr-EDTA, inulin, DTPA, etc; the authors themselves mention this (line 539 – 540). I fully agree with the authors that mGFR is FAR from perfect and has many inaccuracies and imprecisions (which are often overlooked)- these are well published, some of which are cited in this manuscript. If the authors wish to use the current study as a source they should state the findings in a way that cannot be misinterpreted. For example: “CrCl has much greater physiologic variability than sCr and cystatin C …” – in this case the reader can determine for themselves whether they would use CrCl as a surrogate for mGFR. Alternatively, adjust the statement and use another source which has shown the variability that exists with what we currently refer to as mGFR method.
670 – 719: As the authors specifically discuss age it would be prudent to briefly mention the short-comings, or considerations for interpretation, of serial creatinine measurements at a very young age which generally rise until late adolescence when steady muscle mass is achieved. Also note changes in creatinine and GFR from birth till 2 – 3 years.
783 – 784: Consider re-wording the grammar makes this sentence difficult to read
959 – 968: Note, editing has not been accepted (tracked changes still shown)
1116 - 1121: “Using the opioid crisis as an example…. in, for example, the opioid crisis” – same sentence
RESPONSE TO REVIEWERS:<br /> September 17, 2022<br /> Longitudinal creatinine, not ‘race’, signals pre-chronic kidney disease and decline in glomerular filtration rate
We again greatly appreciate the reviewers for offering detailed comments and guidance, which we have endeavored to incorporate as best we could.
Comments to the Author<br /> Reviewer #1: Cyril O Burke III et al submit a revised version of their intriguing, unusual paper.<br /> 1. Overall, the paper remains extremely lengthy (the total, including clean and track versions and reply to reviewers is close to 200 pages !!), whereas it contains relatively little original data.<br /> The authors speculate and comment a lot (and most of these speculations/comments will hardly be understandable by the expected audience, primary care physicians), and this will in addition distract the reader from the main key message (which is right in the opinion of this reviewer (see first round of review) and warrants more attention and studies.<br /> The race part is irrelevant for the key point (race does not change over time, and thus is not relevant when looking at longitudinal serum creatinine or eGFR) and should be deleted in the opinion of this reviewer. In this respect, I completely agree with the comment of reviewer 2 in the first round.<br /> I can not resist quoting here the reply of the authors to reviewer 2.<br /> "This manuscript could be divided into three or four short papers, increasing the likelihood that any one of them would be read. However, different groups tend to read papers about screening for kidney impairment, racial disparities, cofactors in modeling physiologic parameters, or policy proposals to encourage best practices. Despite the appeal of perhaps three or four publications, we decided to tell a complete story in a single paper, but we are open to suggestions."<br /> My reply to their reply: nobody would read the current paper, even partially. Shorten, shorten, shorten please, and focus on the key message.<br /> We fundamentally agree and have worked to shorten the text; to clarify our understanding that ‘race’ may change with time, location, and self-identification; and to add a Table of Contents to make the Parts more accessible to interested readers. We comment a lot because, in highly racialized societies, like the US [1,2], it can be difficult to see beyond ‘race’ without explicit speculation about other possible explanations for difference, which we understand, may or may not pan out under investigation. One hope is that all clinicians will pursue explanations other than ‘race’, but this seems unlikely. Busy medical researchers have little time to develop expertise outside their area of interest, which may explain why ‘Commentary’ and ‘Perspective’ articles have failed to inspire an ethical ban on the misuse of ‘race’ in medical research, journals, clinics, and elsewhere [3]. We do not know whether a suite of articles can meaningfully contribute to ending misuse of ‘race’, where so many scholarly articles have failed, but after perceiving little change over four decades, trying something completely different seemed (almost) rational.
Nunez-Smith M, Curry LA, Bigby J, Berg D, Krumholz HM, Bradley EH. Impact of race on the professional lives of physicians of African descent. Ann Intern Med. 2007 Jan 2;146(1):45-51. doi: 10.7326/0003-4819-146-1-200701020-00008. PMID: 17200221.
Betancourt JR, Reid AE. Black physicians' experience with race: should we be surprised? Ann Intern Med. 2007 Jan 2;146(1):68-9. doi: 10.7326/0003-4819-146-1-200701020-00013. PMID: 17200226.
McFarling UL. Troubling podcast puts JAMA, the ‘voice of medicine,’ under fire for its mishandling of race. Stat News. 2021 April 6 [Cited 2022 August 31]. Available from: https://www.statnews.com/2021/04/06/podcast-puts-jama-under-fire-for-mishandling-of-race/ <br /> Reviewer #2: Thank-you, once again, for the opportunity to review this lengthy “thesis-style” manuscript which discusses some important often over-looked topics. The under-use of serial creatinine measurements and over-reliance on often erroneous eGFR measurements is an important point which is easily missed by healthcare workers with potentially serious consequences. Likewise, the misuse of racial constructs in medicine (and elsewhere) is an important point.<br /> Thank you for again giving time for helpful criticism and comments on our manuscript.
A. I am satisfied with this re-submission and the changes which have been made to the original manuscript.<br /> Minor points:<br /> B. 431: “creatinine inhibits several membrane transporters”. = Cimetidine<br /> Corrected.
C. 502: “Because mGFRs have population variation as wide as sCr, with much greater physiologic variability compared to the relatively stable sCr and serum cystatin C”<br /> As mentioned previously the cited article compares the variability of sCr and cystatin C with CrCl, I agree with the authors that CrCl is a form of mGFR, however, probably one of the poorer forms and not what a reader will think of when mGFR is mentioned. In our current age of medicine when we talk about mGFR CrCl is seldom included, studies reviewing methods of mGFR will seldom include CrCl, however CrCl may be compared to one of the mGFR methods. Likewise, if a patient is sent for a mGFR, a CrCl will not be performed. In our current age of medicine mGFR refers to methods such as the clearance of iohexol, iothalamate, Cr-EDTA, inulin, DTPA, etc; the authors themselves mention this (line 539 – 540). I fully agree with the authors that mGFR is FAR from perfect and has many inaccuracies and imprecisions (which are often overlooked)- these are well published, some of which are cited in this manuscript. If the authors wish to use the current study as a source they should state the findings in a way that cannot be misinterpreted. For example: “CrCl has much greater physiologic variability than sCr and cystatin C …” – in this case the reader can determine for themselves whether they would use CrCl as a surrogate for mGFR. Alternatively, adjust the statement and use another source which has shown the variability that exists with what we currently refer to as mGFR method.<br /> We appreciate this comment and have both added another reference and added to the text an argument for reconsidering creatinine clearance. Many hospitals and some countries lack the resources for advanced mGFR filtration markers, which are only used for research or for screening related to kidney transplants. However, most laboratories have the tools for ‘quick-creatinine clearance’ (quick-CrCl), which may be an acceptable alternative to the classic mGFRs. If confirmed, a simple and affordable quick-CrCl might allow hospitals and laboratories worldwide an alternative measurement requiring fewer assumptions for another aspect of glomerular filtration.
D. 670 – 719: As the authors specifically discuss age it would be prudent to briefly mention the short-comings, or considerations for interpretation, of serial creatinine measurements at a very young age which generally rise until late adolescence when steady muscle mass is achieved. Also note changes in creatinine and GFR from birth till 2 – 3 years.<br /> We have added a brief discussion of the diagnosis of CKD in infants, children, and adolescents.
E. 783 – 784: Consider re-wording, the grammar makes this sentence difficult to read<br /> Done.
F. 959 – 968: Note, editing has not been accepted (tracked changes still shown).<br /> Done.
G. 1116 - 1121: “Using the opioid crisis as an example…. in, for example, the opioid crisis” – same sentence.<br /> Rewritten.
We thank you.
On 2022-03-01 05:15:31, user Nun Daled Yud wrote:
clearly serial daily or twice daily testing is needed for patients who would benefit from the early antiviral treatments particularly aged care facilities .
On 2022-03-02 17:16:42, user HF wrote:
Is there any SPSS, Strata or R code available to replicate this project?
On 2022-03-09 02:39:17, user Peter J. Yim wrote:
Vaccine efficacy based on vaccination registries is dependent on the completeness of the registries. Any missing or improperly registered data contributes to misclassification bias: https://drive.google.com/fi...<br /> This study relies on the Citywide Immunization Registry (CIR) and the NYS Immunization Information System (NYSIIS). However, no evidence is presented for the accuracy of those registries. As such, the VE estimates from this study should be regarded as uncertain.
On 2022-05-05 12:39:51, user Robert Clark wrote:
The data shows efficacy against infection becomes NEGATIVE after one month. Imperative to found out if at longer times this also happens for hosp./deaths. Review the data to found out.
Robert Clark
On 2022-03-14 13:57:25, user SleepRhythm wrote:
This paper is now in press in Frontiers in Neuroscience - section Sleep and Circadian Rhythms: https://www.frontiersin.org...<br /> The medRxiv link will be forthcoming
On 2022-03-23 02:12:03, user Guest wrote:
Hello authors,<br /> Thank you for submitting a preprint of this interesting study on the virome to a public domain. I have a few questions regarding your methods and materials.<br /> First, the detailed description of sample collection was great, but I could not find any internal standards for the PCR steps, DNA extraction, or isolation of VLP. These might have been stated, somewhere else perhaps, but I could not identify them. However, for sample collection, how did you determine the location and type of wounds that would be tested? Was there a specific location or depth for chosen wounds or just all types stated that were within the frames of the criteria?<br /> Secondly, the methods for sample processing and DNA extraction are excellent, but I cannot seem to find any information regarding the primers used or the number of cycles performed while analyzing 16S rRNA. I could not find the total number of sequences obtained per sample, however, the quality reading for the viral reads was in-depth and well covered. I did not find any profile or 16S normalization or a total quantification of bacterial or bacterial numbers (like qPCR).<br /> Thirdly, I did not find anything about OTU abundance corrected for variance in copy numbers or variance in genome size. I also could not find any method details regarding coverage of communities measured or if there was any comparison to the dominate to rare. One last question, what do you define as ‘deep sequencing’ regarding this study?<br /> Overall, I found this article very interesting and a good read. Thank you for providing such excellent work with the virome. I have not seen many studies regarding the effects of the virome on human healing, host interactions, or composition until recent years, but this article provides a great starting point for these types of studies.
On 2022-04-07 15:07:03, user Addi Romero wrote:
A revised, updated version has been published as a correspondence in The Lancet Infectious Diseases. A link will be forthcoming. Meanwhile, feel free to have a look at the In Press, Corrected Proof: <br /> https://www.sciencedirect.c...
Dynamics of humoral and T-cell immunity after three BNT162b2 vaccinations in adults older than 80 years
On 2022-04-13 12:35:52, user Josué OUEDRAOGO wrote:
Hello! Thank you for this work.<br /> How can i get your dataset?
On 2022-04-23 17:06:25, user Ozzy96 wrote:
What is the all cause <br /> background rate of myocarditis in this age group pre-covid??
On 2022-04-25 13:00:30, user Sakari Jukarainen wrote:
Thank you for pointing this out, it is indeed an error, to be fixed in the next version of this work.
On 2022-04-29 17:03:47, user Madhava Setty, MD wrote:
Very interesting study. From where did the data on viral copies come from? Also, the odds of seroconversion in placebo vs treatment, stated as 13.67 at a given viral copy level, doesn't seem to be reflected in the corresponding plot (B).
On 2022-05-06 12:44:06, user Showme wrote:
Any info about the peer reviewing progress?
On 2022-05-10 08:12:41, user Zeng Zhiyu wrote:
Figure 2. All 1 dose vs none, the dot is way greater than 1, why the OR is still 0.566?
On 2022-05-21 01:10:31, user Fritz Stumpges wrote:
You need to provide ground level readings for this test, for your group (1) without masks. Without this base, we don't know if your methods are just producing extremely high readings across the board!
On 2022-05-30 22:36:58, user Stuart Turville wrote:
Now published within this manuscript here:
Congratulations<br /> Dear Stuart G. Turville
We are pleased to inform you that your article has just been published:
Title<br /> Platform for isolation and characterization of SARS-CoV-2 variants enables rapid characterization of Omicron in Australia
Journal<br /> Nature Microbiology
DOI<br /> 10.1038/s41564-022-01135-7
Publication Date<br /> 2022-05-30
Your article is available online here https://doi.org/10.1038/s41... or as a PDF here https://www.nature.com/arti....
On 2022-06-03 06:08:07, user Toby Mansell wrote:
This paper has now been published at eLife. You can view the published version of this paper at: https://doi.org/10.7554/eLi...
On 2020-05-20 00:33:44, user SizzMo wrote:
It appears that the methods of administration of hydroxychloroquine were doomed to fail before even being undertaken. A review of the full study reveals NO mention of zinc, and suggests that hydroxychloroquine was administered alone or sometimes in tandem with azithromycin, and primarily to hospitalized patients in very late stages of illness. The omission of zinc and administration only in late stages of disease defeat the mechanism of action by which the hydroxychloroquine protocol works
The primary mechanism of action in the hydroxychloroquine+zinc+azithromycin protocol uses hydroxychloroquine primarily as an ionophore for zinc, which then inhibits viral replication in the cell cytoplasm. Zinc is an essential component of this protocol, and omitting zinc appears to be a fatal flaw in all of the reviewed studies and case reports in this analysis. Furthermore, this paper repeatedly refers to hydroxychloroquine being administered to hospitalized patients. The mechanism of action is the inhibition of viral replication, which reduces viral load at early stages of disease. Giving this protocol in late stages of disease when viral load is already heavy and patients are already severely ill defeats the purpose of the protocol and practically guarantees that it will not be effective. The methods reviewed in this study overlook what is known about both the mechanism of action of viral inibitors, and the synergistic function of hydroxychloroquine and zinc in viral RNA replication, making it appear that these "studies" were designed to fail.
Clinicians employing the complete hydroxychloroquine+zinc+azithromycin protocol at early stages of disease (mild to moderate illness) are universally reporting high levels of efficacy. <br /> Additionally, researchers in an NYU Langone retrospective analysis of more than 900 patients with mild-to-moderate illness who received the protocol with or without zinc also reported significant improvements in patients who received zinc. The NYU Langone study is currently undergoing peer review, and is available at this link: https://www.medrxiv.org/con...
On 2022-06-10 15:22:41, user Tammi Kral wrote:
The published version of this manuscript can be found in Science Advances at the following DOI:<br /> https://www.science.org/doi...
On 2022-07-18 12:29:27, user Loretta Lorenz wrote:
Quite likely many person are vaccinated and infected in various sequences. My question is, if the SARS-CoV 2 Spike protein measurement differentiated beetween spike proteins originating from a vaccine against COVID-19 and the different Spike Proteins of the various SARS-CoV-2 mutations.
On 2022-07-20 16:59:17, user Tania Watts wrote:
The authors may want to note similar findings in our paper, Dayam et al. Accelerated waning of immunity to SARS-CoV-2 mRNA vaccines in patients with immune-mediated inflammatory diseases, JCI Insight, 10.1172/jci.insight.159721 April 2022. We show anti-TNF treated patients have lower Ab responses, no neutralization of Omicron and enhanced waning of T and Ab responses to SARS-CoV-2 mRNA vaccines after 2 doses.
On 2022-07-25 16:31:06, user Dr. D. Miyazawa MD wrote:
Please also refer to previous studies.
Hypothesis that hepatitis of unknown cause in children is caused by adeno-associated virus type 2 (08 May 2022)<br /> https://www.bmj.com/content...
Daisuke Miyazawa. Possible mechanisms for the hypothesis that acute hepatitis of unknown origin in children is caused by adeno-associated virus type 2. Authorea. May 16, 2022.<br /> DOI: 10.22541/au.165271065.53550386/v2
On 2022-07-28 17:24:57, user Mike Knudson wrote:
This paper is now published online in Transfusion.<br /> https://onlinelibrary.wiley...<br /> Major change was to add the results of eluate studies in the patients with a positive DAT following a transfusion reaction.
On 2022-07-29 13:52:30, user Stuart MacGowan wrote:
This is great work! A few years ago I worked on something similar - mapping missense variants to Pfams and defining constrained positions https://doi.org/10.1101/127050 . We also saw enrichment of pathogenic variants at constrained positions. Great to see this area moving forward!
On 2022-08-04 17:25:32, user Paul Hunter wrote:
Did you include date or week number in your model? During the study period there was a dramatic shift in the proportion of tests positive in Portugal from about 1 in 4.5 to 1 in 2 and that could explain your findings of a 3 x greater risk of hospitalisation associated with BA.5 infection irrespective of the actual risk . If you did not include week number then I think your conclusions are probably flawed.
On 2022-08-12 16:16:31, user A. M. Baxter wrote:
Alisdair Munro posted on Substack about this particular paper. It is an example of junk science spreading due to confirmation bias.
https://alasdairmunro.substack.com/p/how-junk-science-got-spread-like
"To put it bluntly, the results of this study are of no use at all. It is completely uninformative and would not pass as an undergraduate medical student assignment."
On 2022-09-28 17:51:37, user Jorge Cruz wrote:
This paper has now been published in Ann Clin Lab Sci July-August 2022 vol. 52 no. 4 651-662
On 2022-10-05 13:49:05, user Merja Rantala wrote:
Congrats for this preprint, it is an important summary what we know about protection of hybrid immunity and prior infection against cov19. However, I think that references and claims in the discussion should be checked. There was a sentence on page 13, first paragraph, claiming that covid survivors would have higher risk for dementia in addition to some other conditions. The reference cited was 36, which is not at all about risks for diseases after covid, but the other way around: risk factors for a severe covid outcome. So the ref need to be replaced. Moreover, we really don''t know at this stage whether risk for dementia is increased after covid or not, although has been under heavy speculation.
On 2020-05-26 23:26:41, user Sam Wheeler wrote:
The medical staff can get the virus while commuting to work. Especially if you work place is the place where patients go for covid testing or treatment, so you share the bus or subway with sick patients.
On 2020-05-27 01:37:02, user Keith wrote:
Very exciting new and a likely game changer for dentists/ENTs or anyone who manipulates the mucosa of a potentially covid + patient
On 2020-04-24 20:01:13, user Christos Ouzounis wrote:
Nice follow up from https://osf.io/397yg/
On 2024-01-18 15:30:55, user Brian Allan wrote:
This manuscript is now published in PLoS NTD:
On 2024-10-09 13:29:30, user disqus_foVd2sEK3I wrote:
Really nice work. Could you please share the accompanying code to reproduce these results? Thanks.
On 2025-04-10 17:31:51, user SMR Hashemian wrote:
At the peak of the COVID-19 crisis, when the world was gripped by fear and despair, Iran was not only battling a deadly virus but also grappling with brutal and inhumane sanctions. Economic sanctions severely restricted Iran's access to medicine, medical equipment, and vaccines, creating one of the biggest obstacles in the fight against this crisis. Yet, despite these unprecedented pressures, Iran did not surrender and, through relentless efforts, found ways to overcome these limitations.<br /> The Iranian government made every effort to bypass the sanctions through international negotiations and the creation of alternative financial channels to import the necessary medicines and equipment. These efforts, though fraught with difficulties, demonstrated Iran's resolve to save lives. Even as many countries refused to assist Iran, the nation relied on domestic capabilities and national solidarity to find solutions to the crisis.<br /> Amidst these challenges, Iran's healthcare workers stood on the front lines like unsung soldiers, making unparalleled sacrifices. Doctors, nurses, and all healthcare workers in hospitals not only played a critical role in saving countless lives but also faced significant personal risks, with many losing their lives in the process. These dedicated professionals demonstrated extraordinary commitment and selflessness, setting an example of resilience and dedication in the face of a global health crisis.<br /> But it was not just the healthcare workers who fought in this battle. Iran's scientific community also stepped up with full force. Iranian scientists and researchers, despite cruel sanctions and countless limitations, never stopped striving. They not only succeeded in producing domestic vaccines like Noora and SpikoGen, but also published numerous articles in prestigious international journals, showcasing Iran's role in advancing global science. These efforts are a testament to the fact that Iran, even under the toughest conditions, can rely on science and knowledge.<br /> The Iranian government, despite all limitations, spared no effort in controlling this crisis. From the very beginning, extensive education on health protocols was launched through the media. The public was continuously informed about health recommendations such as mask-wearing, social distancing, and hand hygiene. Even during Nowruz, one of the most important cultural events in Iran, the government encouraged people to reduce travel and celebrate at home. School and university closures, the shift to remote learning, and the reduction of workplace presence through teleworking all demonstrated the government's resolve to control the spread of the virus.<br /> These efforts, though accompanied by challenges, reflect Iran's national determination to confront this global crisis. Iran, despite all limitations, proved that it could stand firm against the toughest conditions by relying on science, sacrifice, and national solidarity. The accusations raised in this article are not only unfair but also overlook the relentless efforts of a nation. Iran fought with all its might to save lives, and that is something to be proud of.
Seyed MohammadReza Hashemian<br /> Professor of Critical Care Medicine
On 2020-05-06 21:53:31, user laurent moulin wrote:
Looks very interesting. Small Typo on figure 3 (I Guess...) with inversion of case and death on the France panel.
On 2020-04-20 15:36:38, user Philip Davies wrote:
Interesting study, thank you.
This is another study that attempts to ascertain if oral HCQ tablets can be of clinical use in patients more than one week into symptomatic disease, hospitalized with bilateral pneumonia and with evidence of established inflammatory reaction (cytokine storm). That's a big ask for any oral medication.
The study is again small (both arms have less than 100 patients). The most significant outcome measured (death) is realized in very small numbers (3 and 4). The confidence levels are extremely wide.
The are several problems with this study. There are marked differences in the two populations. The study honestly attempts to accommodate these confounding factors using a propensity score method (IPTW). Normally this method is valuable but here I can’t see that it has been well applied.
It pays to look at the raw data. There is a significant difference (between the two arms) in the initial intensity of disease.
At baseline (admission), HCQ arm comprises 78.3% men (>20% more of these higher risk patients than control arm with 64.9%); HCQ arm has 21.9% patients with more severe disease in the form of CT showing >50% lung affected). This is >80% more than in control arm (12.1%). HCQ arm has 90.5% patients with CRP > 40mg/l (CRP is a good indicator of impending/current severity). This is 10% higher than control arm (81.9%). HCQ arm had median O2 flow on admission = 3 litres/minute (50% higher than control arm at 2 litres / minute).
So, at baseline, the HCQ arm had significantly more patients with severe disease than control arm. The O2 flow is actually more significant than first sight would suggest. 2 l/m is always the first step in O2 therapy. The data shows us that most patients in the control arm could hold their sats on this first step therapy. This also means they may have been OK on just 1 l/m. We don't know. But we do know that most patients in the HQN could not hold their sats at that first step and needed an increase (3 l/m ... so that's 50-300% more O2 than control arm).
Admittedly there were other confounding factors which compromised the control arm more than HCQ arm (some chronic disease elements). But it's clear to me that disease severity was markedly more established in the HCQ arm.
Another factor to note: the HCQ treatment was not initiated at the moment those baseline values were obtained (on admission). The HCQ was initiated within 48 hours. So let’s look again at the timelines. The median duration of symptoms at admission shows that the HCQ arm comprised patients who were further into worsening illness: they were admitted on D8 compared to control, D7. They may not have had HCQ initiated until D10.
Then we look at outcomes: the raw data shows that the disadvantaged HCQ arm actually does better in the two most important outcomes, death and ICU admission. The HCQ delivers 12% less death and ICU admissions than the control arm. Admittedly the numbers are small so the confidence levels are very wide.
So what does that tell us? The answer is not much. But even accepting the poorly aligned baseline for disease severity, the outcomes with their wide 95% confidence levels do deliver a mildly promising indication on the 'swingometer'. They point more towards benefit than harm when using HCQ in this advanced disease state.
As a final comment on significant side effects (increased QT interval) from the use of HCQ. Once again, this trial used a particularly high dose of HCQ (600mg/day...right at ceiling dose for rheumatological use and much higher than the total antimalarial treatment dose). They also added azithromycin (another QT lengthening drug) to 20% of the HCQ patients. It’s not surprising at all to find such QT lengthening in a sick, more elderly population taking these medications in particularly high doses).
Further trials should utilize conservative doses of CQ/HCQ which have been proven safe in many millions of patients.
We don't yet know how this will pan out. We urgently need proper evidence. Statistically robust studies into prophylaxis and early intervention are likely to deliver the most interesting results.
Dr Philip Davies<br /> Aldershot Centre For Health<br /> http://thevirus.uk
On 2022-12-04 10:47:01, user Andronikos Koutroumpelis wrote:
The correlation between COVID and RSV history in patient-level data is interesting, but confounded by the very different characteristics of the subgroups (eg SES, age, race). Could the authors report a multivariate analysis to check if the two histories are correlated independently?
On 2021-05-26 15:18:37, user Turki Bin Hammad wrote:
The Astrazenca vaccine is reported to elicit much higher immune response when the second dose is given 2 to 3 months later compared to the 4-Week interval. Was the immune data for the AZD/Oxford vaccine in this study took into account the expected difference with various dosing schedules?
On 2020-12-02 03:08:13, user Kevin M wrote:
my wife runs an in home day care. We have 5 to 7 toddlers/infants per day. Some days she has a staff member. Children are with us 9.5 hours a day.
It is impossible to keep 2 & 3 year olds 6 feet away. Also to try to have them wear a mask, presents major choking hazards.
So based on these models, and i played around with Coarse Cotton, and Face Shield / No Mask. for the 5 people would be 27 minutes and 10 people 17m. Is that referencing Close contact, less than 6 feet?
Below those numbers it says 11 people can stay 6 feet apart indefinite... And on that i used Face Shield, 0% for Efficiency.
My thoughts are, having the same group of children here 9+ hours a day. With or without a mask/shield it doesnt matter?
And if maybe i had adults around and we had 6... 8..10 feet distance and no mask we are at a very low risk? Base on the "Note the six-foot or two meter...
I know this is not a 100% guide. But what are your thoughts on my scenarios?
On 2023-01-10 21:19:28, user Lucija Romac wrote:
Dear Authors,<br /> congratulations on the great work, I believe that your study is a huge step forward in the treatment of patients suffering from azoospermia and that every embryologist working with NOA and OA patients would be delighted to implement a non-invasive test, such as yours, in their lab. If you don't mind, I have a few questions. You stated that the NOA group included men with azoospermia confirmed by semen analysis and elevated FSH, (>18 IU/L) or by testicular biopsy. My question concerns the flow cytometry identification of morphologically intact AKAP4+/ASPX+/Hoechst+ spermatozoa in NOA semen pellets. I wonder whether the NOA mTESE reference set of 7 patients (Table 2) with the known mTESE outcome underwent histological evaluation which is known as the “gold standard” of diagnostic tools used to confirm the presence of spermatozoa in testicular tissue? I'm also curious why is the reference set comprised of only 7 patients, considering you had 91 NOA patients with a known outcome of mTESE?<br /> Thank you for your answers and for sharing your work with us,<br /> Best regards,<br /> Lucija Romac
On 2021-08-12 10:05:30, user Ken Sprenger wrote:
There are a number of concerns with the methodology and consistency in this study:<br /> 1. There is inconsistency in the description of the population of patients to be enrolled. The study registered on ClinicalTrials.gov (NCT 044297411) indicates that the study would include patients with mild to moderate COVID-19, whereas the title of the study published on medRxiv indicates that patients would have mild COVID-19. Then under Study Design in Methods in the publication, it indicates that the study would include mild to moderate COVID-19 patients. Then under Study Population in the publication it includes “asymptomatic cases”. In Table 1 All patients (N=89) and Symptomatic =72, therefore 17 (19%) of patients were asymptomatic. It would appear, therefore, that the definition of the study population had been substantially amended to include asymptomatic patients. There are a number of considerations:<br /> a. This was therefore no longer a study of ivermectin in patients with mild to moderate or even mild COVID-19, as stated in the publication and elsewhere.<br /> b. It would be important to know when the decision was made to enrol the asymptomatic patients and the reasons for this change.
Under Intervention in the Methods section of the publication, the authors say “Unexpectedly some patients who were isolated in the hotels as verified positive patients were found to be borderline or negative upon our RT-PCR test” and were withdrawn from the study. Figure 1 indicates that 7 patients assigned to the ivermectin arm and 14 patients assigned to the placebo arm had Ct values >35 in the “two first tests”. <br /> a. This means that 18% of patients were withdrawn after the start of the study as they had all been enrolled and randomized. <br /> b. The Ct values given in Figure 1 are all >35, and so it is difficult to understand why the text in the publication says “borderline or negative”. What did borderline mean in regard to Ct values? <br /> c. The authors state under Intervention in Methods that “… all RT-PCR tests, including verification that patients were positive on day zero, were conducted by the same lab, at the Israel Central Virology Laboratory of the Ministry Of Health (located at Sheba Medical Centre).”<br /> d. Withdrawing 18% of patients who initially qualified for the study (Ct confirmed by Ministry of Health laboratory) because they had reduced viral shedding (even if negative or approaching negative) in subsequent RT-PCR tests when reduction of viral shedding is the endpoint of the study, is problematic. Generally once patients are enrolled in a study they should not be withdrawn by the investigator except for safety reasons, or if the participant withdraws consent. An intention to treat analysis including these patients should have been performed.
There is a further change to the protocol which defines the time from symptom onset to start of medication. Initially start of study drug dosing appears to have been within 3 days of symptom onset, but then because of “delay in getting results in the community” of the RT-PCR this time was increased to 7 days from symptom onset. <br /> a. There is no indication of when this amendment was introduced, but it appears to be after the start of the study, in which case some patient’s day 6 (3 days from symptom onset + 3 days of study drug), will be different to others which will be 7 days from symptoms + 3 days of study drug. <br /> b. As it is possible that the viral load will be a little lower in patients on day 7 compared to day 3 after symptom onset, and the patients who started treatment on day 7 might reach Ct >30 at the end of 3 days of treatment sooner than patients who started treatment on day 3. <br /> c. Measuring the endpoint Ct (which will be changing with time, unrelated to study drug) at different intervals from baseline is potentially introducing a bias.
Medication is described differently in 3 places:<br /> a. Abstract in the publication: 0.2 mg/kg x 3 days.<br /> b. Randomisation section in Methods in the publication: in patients 40-69kg, 4 tablets (=12 mg daily) x 3 days and in patients >= 70 kg, 5 tablets (=15 mg daily) x 3 days.<br /> c. ClinicalTrials.com description: 3mg capsules, 15-20mg/day x 3 days.<br /> These three statements are all different doses and some are described as capsules, others as tablets. Consistency and the correct description of study medication is critical in a study which tests a drug against a placebo.
Primary outcome. Under Outcomes in the publication it states “The primary endpoint was viral clearance following a diagnostic swab taken on the sixth day (third day after termination of treatment), in the intervention group compared to placebo.” A negative swab was defined as RT-PCR Ct >30. The authors point out that the standard for a negative swab in Israel is a Ct >40 and, although they don’t mention this, the manufacturer of the RT-PCR kit used in the study (Seegene Allplex CoV19) recommends a cut-off Ct >40 in their manual. Despite these exiting standards they made a decision to use a Ct >30 because for a Ct >40 “reaching this level may take a few weeks, and there is significant evidence that a non-infectious state is usually achieved at Ct level >30”. <br /> a. It seems inappropriate in a study such as this, to change a commonly accepted standard (Ct >40) in Israel to save a “few weeks” of time. <br /> b. The point at which the decision was made to use the Ct >30 as negative is not declared and one would be concerned if it was taken after the start of the study and particularly if it was after unblinding of the study!
Conclusions:<br /> 1. There are numerous deviations from the ClinicalTrials.Gov description (amended version June 14, 2020) including: patient inclusion criteria, participant eligibility period post exposure (maximum 72 hours), study medication description, another 2 outcome measures which were not reported. Many deviations such as these raise concerns about the thoroughness with which the study was conducted and reported.<br /> 2. This was not a study of patients with mild to moderate COVID-19 as indicated in the publication title (or even with just mild COVID-19) as nearly 1 in 5 of randomized patients were asymptomatic. <br /> 3. A large number of patients (18%) were withdrawn from the study by the investigator as their RT-PCRs had Ct values >35) on day 2 and 4, after an initial positive. This is highly unusual and could have biased the study. An intention to treat analysis should have been performed. <br /> 4. The definition of a negative swab, which was really the endpoint, appears to have been made arbitrarily, as it did not align with Israel’s standards and the kit manufacturer’s manual, and there is no clarity as to when this decision was made. <br /> 5. A study amendment to the protocol which defined the time from symptom onset to start of study drug dosing was changed from 3 to 7 days. This could have biased the study.
It might be true that Ivermectin does reduce viral shedding time in mild to moderate COVID-19. However this study is not rigorous enough, includes amendments which could have introduced bias, and has methodological issues. In my opinion it should not be accepted as good evidence that ivermectin reduces viral loads and could reduce isolation time in patients with COVID-19.
On 2021-09-13 12:12:16, user Patrick Hunziker wrote:
Interesting paper.<br /> Might be useful to discuss it in the light of<br /> https://doi.org/10.33218/00...<br /> and<br /> https://ssrn.com/abstract=3...
On 2021-12-13 18:41:26, user Rogelio Martinez wrote:
Dr. Deoni,
Any thoughts regarding possibility of increased lead exposure? Although, if lead was a main driving factor one would have thought the effects would have been worse for 2020 babies.
Could the drastic decrease in cognition simply be given the novelty of having a new face that is wearing a mask? There are several anecdotal experiences in which an infant is unable to recognize their own father after they shave their beard or hair.
Given the development of facial recognition even in the absence of a fear response a child exposed to a masked face is only getting about 50% of the information they would normally get from an unmasked individual. Kids don't develop full holistic facial recognition until the age of 6 if I am not mistaken.
I think it would be difficult to ace an exam in which you are only presented 50% of the instructions, but I am unfamiliar with the testing used. How much is guided by facial expressions that require more than just the top half of the face?
On 2021-09-14 21:49:42, user Cengiz Kiliç wrote:
Dear Dr Swedo et al,
We read with enthusiasm your consensus paper. We are looking forward to its publication, since it is very timely and much needed. We believe such a consensus, reached at by an international panel of experts, and using rigorous criteria, will be very helpful to set the main principles for advancing research, in an area where little is known. Such a clinical guideline will limit the circulation of several existing diagnostic criteria sets that have little relevance with the clinical presentation of the disorder. We especially appreciate your (strongly) emphasizing the fact that misophonia is a sound-sensitivity disorder, and not a disturbance of any sensory input.
At our Stress Assessment and Research Center (STAR) of Hacettepe University, Ankara, we have been conducting research on misophonia (as well as other stress disorders) since 2015. Our first study*, which was just published last month, presented prevalence rates on a random population sample, using our own proposed diagnostic criteria (it is a pity that our study did not appear in time to be included in your literature search). Our second study was a treatment study comparing the effects of psychoeducation, filtered music and exposure in 60 misophonic outpatients, which we are preparing for publication. Our follow-up study (of the population-study sample) is still ongoing. We touched upon the limitations of the existing proposed diagnostic criteria sets in our BJPsych paper’s supplement, and would be happy to share our views in more detail (if requested).
Sincerely,
Cengiz Kiliç, Professor of psychiatry<br /> Gökhan Öz, psychiatrist <br /> Burcu Avanoglu, psychiatrist<br /> Songül Aksoy, Professor of audiology
Misophonia Research Group, Stress Assessment and Research Centre (STAR)<br /> Hacettepe University, Ankara
Email: star@hacettepe.edu.tr<br /> Phone: +90-312-3051874
* Kiliç C, Öz G, Avanoglu KB, Aksoy S. The prevalence and characteristics of misophonia in Ankara, Turkey: population-based study. BJPsych Open. 2021 Aug 6;7(5):e144. doi: 10.1192/bjo.2021.978. PMID: 34353403; PMCID: PMC8358974
On 2023-06-29 09:40:33, user Nensi wrote:
The idea behind this study is truly interesting and highlights the critical importance of addressing the issues surrounding poor reporting and the quality of systematic reviews.<br /> However, some things could be changed to improve the quality of this study. Below you can find some of my comments regarding your manuscript.<br /> 1) The manuscript could use extensive language editing, as there are many grammatical and spelling errors. Many language editing programmes can be very useful for these purposes (Grammarly, Instatext etc.).<br /> 2) You begin the Methods section with the aim of your study, but you state that the aim was to do a study. You can see why that does not make sense. The aim of your study was to do a study. You should report here the specific purpose or what you wanted to assess (for example, the aim was to assess the reporting quality of systematic reviews published by authors from India from 2015 to 2020).<br /> 3) In Results, you decided to report the data in text and with two figures. However, when you have so much descriptive data, it could be presented more clearly with just a table. The table allows the authors to store large amounts of data in a small place, making it easier for the readers to go through the data and understand the results. <br /> 4) Another detail about presenting the results is that they should be written in the past tense instead of the present tense you used.<br /> 5) Also, when presenting descriptive data, it is recommended to report both absolute and relative numbers (for example, „Only 20 (15%) of the reviews have been registered in PROSPERO registry“).<br /> 6) You could benefit from using STROBE reporting guidelines for observational studies (https://www.equator-network... "https://www.equator-network.org/reporting-guidelines/strobe/)"). Reporting guidelines are handy in ensuring you have reported everything that needs to be written in an article.<br /> 7) There is also much room for improvement regarding the referencing. A small detail would be the in-text referencing where you put [1] after the full stop. So the general rule would be that if you use brackets, it should be placed inside the sentence, and if you want to put the number in superscript, it should be after the sentence. That could use a bit of tidying up. <br /> 8) Additionally, regarding the referencing, you have used different styles of referencing in the reference list and some of the references are not referenced correctly or at all. There are many programmes that can help you organize and write the references (EndNote, Zotero, Mendeley etc.).<br /> 9) And one more thing for future referencing, even though a study is methodological, it should be preregistered. All studies should be preregistered to promote open science and transparency in conducting scientific research.<br /> I hope these suggestions will help. Good luck with your work!
On 2020-12-20 18:23:25, user Martin Reijns wrote:
None of the reported mutations in the new SARS-CoV-2 variant (lineage B.1.1.7; VUI-202012/01) that is becoming more widespread in the UK impact on the E gene, N1 or N2 assays. Our N1E-RP and N2E-RP multiplex assays will therefore still detect this new strain.
https://virological.org/t/p...
The M gene assay that we refer to in our manuscript is also not affected by the reported changes. However, the S gene assay that we refer to would likely no longer effectively detect this new strain because of a 6 nt deletion within the probe binding site.
On 2021-12-16 21:16:38, user tshann wrote:
A little confused at this statement from the article:
While variants and waning efficacy are relevant, SARS-CoV-2 vaccines reduce the risk of infection, transmission, and severe illness/hospitalization in adults
Someone'll likely correct me here, but to my dim memory, Walensky, CDC and Faucci himself have admitted the vax's don't stop transmission or prevent infection. Am I wrong?
Peace
On 2021-09-15 11:40:15, user japhetk wrote:
Although this study is about analyzing time series data, the research method is inappropriate because it uses ordinary multiple regression analysis without analysis for time series analysis. Here is a page that explains the basics of analysis for time series data.<br /> https://logics-of-blue.com/...
Based on this preprint that spread on social media, people have the misconception that delta variants have nothing to do with the spread of infection and that vaccines spread infection. I think the authors should refer to it and revise the manuscript as soon as possible.
Also, in the data I have, from April to the end of August, the share of daily delta variants, the number of days elapsed, and the raw data of vaccination rates each show a correlation of 0.95 or higher. These highly correlated variables can cause multicollinearity, which can lead to strange results. Simply put, these variables cannot be included in the same model.<br /> I also prepared my own data for Tokyo from April to the end of August, but when I used the same simple multiple regression analysis as the authors did, including human flow, the number of days elapsed, and these variables (which is an inappropriate method of analysis for a number of reasons, as explained above), the vaccination rate of tokyo (+ 14 days) was negatively correlated with rt (- 14 days) and the delta variants share was positively correlated with rt, and the authors' results could not be replicated.
I referred to the apple mobility data (transit and walking) for the population flow.<br /> The following page for RT (-14 days) of Tokyo.https://uub.jp/cvd/cvd.cgi?T=5&Y=21...<br /> Delta variant share for owid data. (-21 days, Blank days were complemented by weighted averages.)
On 2020-12-26 19:39:53, user Sam Smith wrote:
TreatEarly / promising drugs.<br /> https://www.treatearly.org/...<br /> A large multi-center observational study with hospital inpatients in France showed that SSRIs in general were protective against covid. The drug with the greatest sigma-1 activation in the study (Fluoxetine in that case) had the greatest protection. The hypothesis of the researchers at Washington University is that the protection comes from the activation of Sigma-1. S1R is known to inhibit a cytokine, a chemical in our body that gets activated in certain infections, such as Covid-19.
On 2020-07-27 19:36:43, user Andrew Bowdle wrote:
Long et al reported SARS-CoV-2 RT-PCR testing of 20,912 patients[1]. There were 19,035 (91%) patients who tested negative. Of these negative patients, 626 were retested within 7 days, and 22 (3.5%) were positive. While not claiming to have measured sensitivity, the authors stated that “false negative results at the time of initial presentation do occur, but potentially at a lower frequency than is currently believed”. Some have interpreted this study as showing that the sensitivity of the SARS-CoV-2 RT PCR assay is high (>95%). This is an incorrect interpretation of the data shown in Long et al. High sensitivity means that, among people who actually do have SARS-CoV-2 only a small fraction will have a test result that is falsely negative. On the other hand, the 3.5% that Long et al report is an attempt to estimate something quite different, namely among all people with a negative test result, the fraction that actually does have SARS-CoV-2. This fraction being only 3.5% means that the vast majority of negative test results are true negatives, reflecting the fact that the prevalence of the virus is low in the population being tested. Therefore, a rate of 3.5% does not imply good sensitivity but rather low prevalence. In general, false negatives as a percent of negative results has to be less than the prevalence of the condition in the population being tested.
Consider a simple hypothetical example. Assume that the prevalence of SARS-CoV-2 in the population being tested is 10%, RT-PCR specificity is 100% and sensitivity is 50%. Then out of 10,000 people tested there will be 9,000 true negative results and 500 false negative results (half of the 1,000 people who truly have SARS-CoV-2). Thus, 500/9,500 = 5.3% of the negative test results are false negatives.
Upon retest, 250 of the 9,500 (2.6%) of the original negative test results will be positive, assuming the sensitivity is still 50% in the 500 people with SARS-CoV-2 who falsely tested negative the first time (which may not be true). The 2.6% corresponds to the 3.5% reported by Long et al. Thus, in this example, sensitivity is poor, yet the observed false negatives are only 2.6% of all negative results.
A number of reports have suggested a moderate sensitivity for SARS-CoV-2 RT-PCR of around 70% (30% false negative)[2]. Calculations similar to those in the example above show that if prevalence is 15%, specificity is 100% and sensitivity is 70% then the expected results are almost the same as those found by Long et al. Different combinations of prevalence, sensitivity and specificity also give results similar to Long et al. It is incorrect to interpret Long et al as showing that the SARS-CoV-2 RT-PCR test has good sensitivity.
References
Long DR, Gombar S, Hogan CA, et al. Occurrence and Timing of Subsequent SARS-CoV-2 RT-PCR Positivity Among Initially Negative Patients. Clin Infect Dis 2020;10.1093/cid/ciaa722.
Woloshin S, Patel N, Kesselheim AS. False negative tests for SARS-CoV-2 infection - challenges and implications. N Engl J Med 2020;10.1056/NEJMp2015897.
Posted by Kevin Cain PhD, Srdjan Jelacic MD FASE, Kei Togashi MD MPH, Andrew Bowdle MD PhD FASE
On 2020-08-01 03:03:30, user Peter Lange wrote:
Thanks this is a really important paper. I wpuld like to see it in a high inpact journal. If I could make the following suggestions to enhance:<br /> - using STROBE checklist will improve the reporting and ensure no required points are missed. Many journals will require compliance with this for publication.<br /> - the abstract would be more compelling with the number of participants<br /> - the selection of participants could be better described - were these all the participants available in that period? Were 150 participants selected from the initial date?<br /> - though a retrospective observational study of routinely collected data nevertheless some journals will require a statement from the local ethics board - that full application was not required - to be obtained<br /> - the use of CFS in the regression analysis as an ordinal point scale gives a result just barely significant. The result may be strengthened by uniting categories 1-3 4-6 7-9 which is reasonable given numbers. Alternativelya dichotomous division at CFS 5. Just be careful to state this was post-hoc analysis. If not doing that stating the rsult more strongly "OR 1.25 (1.00-1.50) for mortality per point on the 9 point CFS" emphasises the importance and validity of the result.<br /> - where using medians to describe samples interquartile range can add additional information as to the distribution of the observations.
i think there will be some interest internationally about the absence of mechanical ventilation in any participant. The use of respiratory support It would be informative to discuss why before the final section.
the tables are pretty dense and hard to read. Some spacing would help.
All the best I hope to see this in print soon and consider an international follow-up
Peter Lange
On 2021-01-07 21:56:18, user Joseph Guinness wrote:
Hello, thanks for conducting this interesting study. We conducted a similar study last year and found similar results:<br /> https://researchers.one/art...
One potential issue with your design is that by taking the top 50 finishers at each race, you may be preferentially selecting people who respond more to Vaporflys: the so-called "super-responders". Put simply, if someone is a super responder, they are more likely to finish in the top 50 when they switch to vaporflys. This is somewhat ameliorated by the fact that a runner would have to finish in the top 50 in a race without the Vaporflys, but not completely.
For example, suppose two runners finish 49th and 50th in Boston without the Vaporflys, then they both switch to Vaporflys for Chicago, but one of them is a super responder and the other isn't. Then the super-responder is more likely to finish in the top 50 in Chicago, while the non-super-responder is not. If that happens, the super-responder gets kept in the study, while the non-super-responder gets dropped. Of course, it doesn't have to work out way, but the odds are tilted towards keeping the super-responder and dropping the non-super-responder.
We addressed this issue in our study by sampling runners according to a performance standard before the Vaporflys entered the market.
I'm guessing that if you addressed this issue, the results wouldn't change a lot, but it's something to consider.
It was a bit difficult to follow your description of how the analysis was done, specifically how you controlled for marathon difficulty and conditions of a specific race in a specific year. It might be helpful to write down a statistical model or go through the calculation for a few runners.
Overall, this is really interesting. We can appreciate (from experience) how tedious it is to comb through hundreds of race photos and identify the shoes runners wore.
On 2021-08-18 19:05:43, user FABIO LIPIANI wrote:
Studies addressing immunosenescence in the immune system have expanded to focus on the innate as well as the adaptive responses. In particular, aging results in alterations in the function of Toll-like receptors (TLRs), the first described pattern recognition receptor family of the innate immune system. Recent studies have begun to elucidate the consequences of aging on TLR function in human cohorts and add to existing findings performed in animal models. In general, these studies show that human TLR function is impaired in the context of aging, and in addition there is evidence for inappropriate persistence of TLR activation in specific systems. These findings are consistent with an overarching theme of age-associated dysregulation of TLR signaling that likely contributes to the increased morbidity and mortality from infectious diseases found in geriatric patients.
On 2020-08-04 14:44:36, user Tammy Spain wrote:
This is such an important study. I applaud the authors for bringing good evidence to the discussion about the role of children in transmission of SARS-CoV2. So much of the dogma around this question has been centered on anecdotal information.
On 2020-07-05 00:22:50, user Philip De Groot wrote:
1.5 gray is the equivalent of 1,500 mSv. 100 mSv is the top of the low dose bracket. Are the authors claiming that an exposure of 1,500 mSv is safe, that it constitutes a low dose?
On 2020-08-08 22:41:29, user Erhannis Kirran wrote:
Spelling error, Line 55, "Covit-19"
On 2021-01-19 19:01:38, user Filip Hrivnák wrote:
That voluntary. In general, we are losing the last signs of the rule of law
On 2021-10-05 11:12:38, user Jonna Zizak wrote:
What were the rates of the unvaccinated during the same time period?
On 2020-08-29 10:12:31, user Rebecca Weisser wrote:
@MinSeoKim_MD Your paper of May 18 showed benefit of HCQ +antibiotic to patients with moderate Covid compared to Lopinavir–Ritonavir and standard care. Your paper of July 7 hid that benefit by adding in 173 patients with mild Covid who all recovered without treatment. Why did you do that?
On 2021-06-30 13:51:55, user Adam Mercy wrote:
It is reassuring to some, but borderline insanity to others that we have to prove we have an immune system. We knew early in 2020, that prior T cell immunity was present in probably 50%+ of the population, from prior coronaviruses from as far back as 15y (or longer).
Covid likely is a patient-specific immune hypersensitivity. Some say MCAS, it may turn out to be. If that is the case, vaccines or not, those patients need drugs -- which implies drug therapies are the only way out.
And yet, the conclusion to this piece is about prioritizing vaccines. Scientists take a look at data from nation states like Mexico. Not small trials, massive interventions at scale. Or India. You are making a blunder which will meme''d about till the end of time. See our twitter on how to save your reputations.
On 2022-01-20 12:16:06, user Daniele Sardinha wrote:
10.4236/aid.2021.114039 foi publicado
On 2021-03-03 17:21:39, user Maxim Sheinin wrote:
It seems that an important limitation of the study is to treat Covid-deceased individuals as representative of the average within the population (as reflected by the use of actuarial tables), while we know that people with comorbidities (who likely face shorter life expectancy) are also more likely to die of Covid. While this analysis may be too complex, there's another easier and impactful one: nursing homes. As of early Dec 2020 ~39% of Covid deaths occurred in nursing homes (https://www.nbcnews.com/kno... "https://www.nbcnews.com/know-your-value/feature/39-covid-19-deaths-have-occurred-nursing-homes-many-could-ncna1250374)"). Nursing home residents face reduced life expectancy. For example this paper (https://www.ncbi.nlm.nih.go... "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6143238/)") found ~2.2 years median life expectancy post-admission for nursing home residents with an average age of ~85, while the authors' analysis would have assumed at least ~4.5 years (Appendix table 1). Thus current analysis is likely to overestimate true YLLs
On 2021-10-18 15:21:44, user Dr Gareth Davies (Gruff) wrote:
An interesting study. Is the raw data available? It would be very illuminating to see a plot of individual *uncategorised* 25(OH)D status against seropositivity, along with standard errors plotted for each data point to be sure that the apparent U-shape is real and not e.g. an artefact of categorisation of continuous data with known, large standard measurement errors.
The number of individuals per category is relatively small, and the standard errors on vitamin D assays relatively very large (and potentially heteroscedastic), and this, combined with the natural variance in the study population, uneven bin sizes, and the presence of multiple confounding variables introduces potentially very large biases and uncertainties.<br /> Fischer's Exact Test is not contructed to be able to take into account factors such as these, and thus the stated p values are not really meaningful, and potentially misleading.<br /> Plotting fit curves along with reduced y-axis range gives a false impression of a precise trend which seems unjustified by these data.
For example, the abstract states that "This trend repeated when split into subgroups of age, sex, ethnicity, BMI, and co-morbidity status", but this *not* in fact true for the "age < 50" and "zero comorbidities" groups where the U-shape trend is not present.
I would urge caution interpreting any apparent trend and also the meaning of 'seroconversion'. There seems to be an implicit assumption that "detected seroconversion" is equivalent to risk of harm from disease. If the trend turns out to be an artefact of the analysis, any interpretation is premature. If the trend turns out to be real, there still may be zero implications for risk of harm. High vitamin D serum concentrations could, for example, lead to stronger host immune response and antibodies, which could account for the results.<br /> It would be useful to include - if possible - some measure of actual disease severity (if any) in the individuals who tested positive.
I hope this is helpful feedback for a future draft of this preprint.
Best wishes
Gareth
On 2020-09-24 06:47:06, user Subhajit Biswas wrote:
Pleased to see that other scientists are supporting with further evidences, the trend we had observed and reported as early as April 2020.
Based on non-overlap of dengue and COVID-19 global severity maps and evidences of SARS-CoV-2 serological cross-reactions with dengue, we proposed that immunization of susceptible populations in dengue non-endemic regions with available live-attenuated dengue vaccines may cue the anti-viral immune response to thwart COVID-19.
https://www.preprints.org/m...
Thanks to Dr Nicolelis and team from Brazil to provide further evidence to our original proposition that COVID-19 is less severe in highly dengue-endemic regions.
The chronology of this dengue covid conundrum, as it stands now, has been meticulously reported by The Print (https://www.msn.com/en-in/h... "https://www.msn.com/en-in/health/medical/dengue-antibodies-could-provide-immunity-against-covid-brazil-study-suggests/ar-BB19k0OB?li=AAggbRN)").
Amazing! Nature has its own ways of controlling parasite aggression! Antigenic correlation between a flavivirus and a coronavirus was unprecedented.
*Dengue vaccines could be tested in SARS-CoV-2 animal models and tried in dengue non-endemic countries*.
*Use in dengue-endemic countries may be problematic as such vaccination can elicit antibody-dependent enhancement of subsequent dengue infections*.
Our publications in this area to support our proposition: <br /> (1) COVID-19 Virus Infection and Transmission are Observably Less in Highly Dengue-Endemic Countries: Is Pre-Exposure to Dengue Virus Protective Against COVID-19 Severity and Mortality? Will the Reverse Scenario Be True? Clinical and Experimental Investigations, Volume 1(2): 2-5. <br /> (https://www.sciencereposito... "https://www.sciencerepository.org/covid-19-virus-infection-and-transmission-are-observably-less-in-highly_CEI-2020-2-105)")
2. Nath, H., Mallick, A., Roy, S., Sukla, S., & Biswas, S. (2020, June 19). Computational modelling predicts that Dengue virus antibodies can bind to SARS-CoV-2 receptor binding sites: Is pre-exposure to dengue virus protective against COVID-19 severity?. <br /> https://osf.io/dutx4/
3. Dengue antibodies can cross-react with SARS-CoV-2 and vice versa-Antibody detection kits can give false-positive results for both viruses in regions where both COVID-19 and Dengue co-exist<br /> https://www.medrxiv.org/con...
On 2021-07-27 14:06:37, user VailShredBetty wrote:
The conclusion of less diversity in the vaccinated leading to less infection? How do we draw this conclusion based upon less diversity? I think it takes time for a virus to work around a vaccine, no? Seems a little presumptuous. Logically speaking, this type of virus, like flu, will not be 'eradicated' by a vaccine....like all the others. (smallpox and polio were not eradicated by a vaccine....those are literally the only two examples people often give) Life will find a way and when we let viruses run their course, proper herd immunity is reached. lessons fro the past (compulsory smallpox vaccination) created more issues and actually spread the infection with those vaccinated 3 and 4 times dying at higher rates. Seems like this study was stopped way too early to make the conclusions given.
On 2021-10-27 22:37:44, user yury g wrote:
(1) Would you consider showing separately the hazard ratios in the Appendix by time-between vaccination and infection - e.g. for (a) less than three months post vaccine, and for (b) greater than three months post vaccine? This might contain a useful signal for the public health discussion around risks of waning immunity against infection in general population....... (2) Would you consider showing separately the hazard ratios in the Appendix for (a) infections taking place before the delta variant took hold, and (b) infections taking place after the delta variant took hold? Many thanks
On 2021-04-09 15:08:14, user Martin Bleichner wrote:
We read this preprint in our journal club and have collected some comments I would like to share.
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 2021-09-05 03:52:10, user Aaron Aarons wrote:
There was one report of studies in Argentina last year making claims, in one case, of a 100% reduction in deaths, that even some of the signers of the paper have repudiated. Is this different?
On 2022-05-12 17:33:59, user Arjun M. C. wrote:
Hello everyone! The research team would like to clarify about our findings that Vaccination increases the odds of having Long COVID.
A recent review by UK Health Security Agency, which has included our study also, has clearly mentioned vaccinated people are less likely to report Long COVID symptoms.(Reference 1) So why did our study report it otherwise? The most probable explanation is the presence of a bias called “Collider Bias”. (Reference 2). When we do studies based on a sample which include only COVID-19 positive tested patients who accessed the hospital (healthcare workers included), the sample/data can be inherently biased. So, the associations we find may not be true.
Please note that our primary objective was not to report the above association but to estimate the percentage of COVID-19 positive patients self-reporting Long COVID and their characterises. As you know, we post manuscript in Pre-print for early dissemination of findings which is important during a pandemic. The above discussion will be included in the manuscript when we publish it in a peer-reviewed journal. A formal statistical exploration of this bias will also be done.
It is unfortunate that knowingly or unknowingly readers are cherry picking this finding to confirm their own beliefs without seeing the overall evidence. We request the readers to read the UK review given in the reference 1 and make evidence-based judgements.
Best Regards,
Reference 1<br /> https://ukhsa.koha-ptfs.co....
Reference 2<br /> https://www.nature.com/arti...
On 2022-06-30 16:10:17, user Dr. D. Miyazawa MD wrote:
I would like to see the analysis broken down by age every 10 years. Otherwise, it is no surprise that the third vaccination is more likely to be given to the elderly and the elderly are more likely to be hospitalized or die!
On 2021-08-09 15:33:22, user Karen Raphael wrote:
Interesting paper...but WHICH non-motor symptoms were altered by the addition of resistant starch?
On 2022-09-28 22:59:10, user Miles Markus wrote:
With reference to the previous comment, perhaps the use of tafenoquine in humanized mice would shed some light on the matter. See:<br /> Markus MB. 2022. How does primaquine prevent Plasmodium vivax malarial recurrences? Trends in Parasitology 38 (11): In press. https://doi.org/10.1016/j.p...
On 2020-11-25 15:43:07, user Jayebird58 wrote:
The Danish masks study proves masks don’t work!
On 2020-04-06 18:50:52, user Sinai Immunol Review Project wrote:
Main Findings: Currently, the diagnosis of SARS-CoV-2 infection entirely depends on the detection of viral RNA using polymerase chain reaction (PCR) assays. False negative results are common, particularly when the samples are collected from upper respiratory. Serological detection may be useful as an additional testing strategy. In this study the authors reported that a typical acute antibody response was induced during the SARS-CoV-2 infection, which was discuss earlier1. The seroconversion rate for Ab, IgM and IgG in COVID-19 patients was 98.8% (79/80), 93.8% (75/80) and 93.8% (75/80), respectively. The first detectible serology marker was total antibody followed by IgM and IgG, with a median seroconversion time of 15, 18 and 20 days-post exposure (d.p.e) or 9, 10- and 12-days post-onset (d.p.o). Seroconversion was first detected at day 7d.p.e in 98.9% of the patients. Interestingly they found that viral load declined as antibody levels increased. This was in contrast to a previous study1, showing that increased antibody titers did not always correlate with RNA clearance (low number of patient sample).
Limitations: Current knowledge of the antibody response to SAR-CoV-2 infection and its mechanism is not yet well elucidated. Similar to the RNA test, the absence of antibody titers in the early stage of illness could not exclude the possibility of infection. A diagnostic test, which is the aim of the authors, would not be useful at the early time points of infection but it could be used to screen asymptomatic patients or patients with mild disease at later times after exposure.
Relevance: Understanding the antibody responses against SARS-CoV2 is useful in the development of a serological test for the diagnosis of COVID-19. This manuscript discussed acute antibody responses which can be deducted in plasma for diagnostic as well as prognostic purposes. Thus, patient-derived plasma with known antibody titers may be used therapeutically for treating COVID-19 patients with severe illness.
Reference:
On 2020-04-23 17:27:44, user Sinai Immunol Review Project wrote:
Presence of SARS-CoV-2 reactive T cells in COVID-19 patients and healthy donors
Braun J et al.; medRxiv 2020.04.17.20061440; https://doi.org/10.1101/202...
Keywords
• SARS-CoV-2 specific CD4 T cells
• Human endemic coronaviruses
• COVID-19
Main findings
In this preprint, Braun et al. report quantification of virus-specific CD4 T cells in 18 patients with mild, severe and critical COVID-19, including 10 patients admitted to ICU. Performing in vitro stimulation of PBMCs with two sets of overlapping SARS-CoV-2 peptide pools – the S I pool spanning the N-terminal region (aa 1-643) of the S protein, including 21 predicted SARS-CoV-1 MHC-II epitopes, and the C-terminal S II pool (aa 633-1273) containing 13 predicted SARS-CoV-1 MHC-II epitopes – the authors detected S-protein-specific CD4 T cells in up to 83% of COVID-19 patients based on intracellular 4-1BB (CD137) and CD40L (CD154) induction. Notably, peptide pool S II shares higher homology with human endemic coronaviruses (hCoVs) 229E, NL63, OC43, and HKU1 that may cause the common cold, but it does not include the SARS-CoV-2 receptor-binding domain (RBD), which has been identified as a critical target of neutralizing antibodies in both SARS-CoV-1 and SARS-CoV-2. S I-reactive CD4 T cells were found in 12 out of 18 (67%) patients, whereas CD4 T cells against S II were detected in 15 patients (83%). Intriguingly, S-specific CD4 T cells could also be found in 34% (n=23) of 68 SARS-CoV-2 seronegative donors, referred to as reactive healthy donors (RHD), with a preference for S II over S I epitopes. Only 6 of 23 RHDs also had detectable frequencies of S I-specific CD4 T cells, overall suggesting S II-reactive CD4 T cells had likely developed in response to prior infections with hCoVs. Of 18 out of 68 total healthy donors tested, all were found to have anti-hCoV antibodies, although this was independent of concomitant anti-S II CD4 T cell frequencies detected. This finding mirrors observations of declining numbers of specific CD4 T cells, but persistent humoral memory after certain vaccinations such as against yellow fever. The authors further speculate that these pre-existing virus-specific T cells against hCoVs might be one of the reasons why children and younger patients, usually considered to have a higher incidence of hCoV infections per year, are seemingly better protected against SARS-CoV-2. Unlike specific CD4 T cells found in RHDs, most S-specific CD4 T cells in COVID-19 patients displayed a phenotype of recent in vivo activation with co-expression of HLA-DR and CD38, as well as variable expression of Ki-67. In addition, a substantial fraction of peripherally found HLA-DR+/CD38+ bulk CD4 T cells was found to be refractory to peptide stimulation, potentially indicating cellular exhaustion.
Limitations
This is one of the first preprints reporting the detection of virus-specific CD4 T cells in COVID-19 (also cf. Dong et al., https://www.medrxiv.org/con... Weiskopf et al., https://www.medrxiv.org/con... "https://www.medrxiv.org/content/10.1101/2020.04.11.20062349v1.article-info)"). While it generally adds to our current knowledge about the potential role of T cells in response to SARS-CoV-2, a few limitations, some of which are discussed by the authors themselves, should be addressed. Findings in this study pertain to a relatively small cohort of patients of variable clinical disease. To corroborate the observations made here, larger studies including both more healthy donors and more patients of all clinical stages are needed to better assess the function of virus-specific CD4 T cells in COVID-19. Specifically, the presence of pre-existing, potentially hCoV-cross-reactive CD4 T cells in healthy donors needs to be explored in the context of COVID-19 immunopathogenesis. While the authors suggest a potentially protective role based on higher incidence of hCoV infection in children and younger patients, and therefore a presumably larger pool of pre-existing virus-specific memory T cells, the opposite could also be the case given cumulatively increased number of hCoV infections in older patients. In this context, it would therefore have been interesting to also measure anti-hCoV antibodies in COVID-19 patients. Furthermore, this study did not quantify virus-specific CD8 T cells. Based on observations in SARS-CoV-1, virus-specific memory CD8 T cells are more likely to persist long-term and confer protection than CD4 T cells, which were detected only at lower frequencies six years post recovery from SARS-CoV-1 (cf. Li CK et al., Journal of immunology 181, 5490-5500.) Morover, no other specifities such as against the N or M epitopes were evaluated. Robust generation of virus-specific T cells against the N protein was shown to be induced by SARS-CoV-2 in another pre-print by Dong et al. (Dong et al., https://www.medrxiv.org/con... "https://www.medrxiv.org/content/10.1101/2020.03.17.20036640v1)"), while Weiskopf et al. recently reported preference of both CD8 and CD4 T cells for S epitopes https://www.medrxiv.org/con... "https://www.medrxiv.org/content/10.1101/2020.04.11.20062349v1.article-info)"). Moreover, the authors seem to suggest that some of the virus-specific CD4 T cells detected could be potentially cross-reactive to predicted SARS-CoV-1 epitopes present in the peptide pools used. Indeed, this has been recently established for several SARS-CoV-2 binding antibodies, while it was found not to be the case for RBD-targeting neutralizing antibodies (cf. Wu et al., https://www.medrxiv.org/con... Ju et al., https://www.biorxiv.org/con... "https://www.biorxiv.org/content/10.1101/2020.03.21.990770v2)"). A similar observation has not been made for T cells so far and should be evaluated. Finally, since reactive healthy donors were only tested for anti-S1 IgG, however not for other more ubiquitous binding antibodies, e.g. against M, and only a fraction of these donors was additionally confirmed to be negative by PCR, there is, though unlikely, the possibility that some of the seronegative reactive donors had been previously exposed to SARS-CoV-2.
Significance
Quantification of virus-specific T cells in peripheral blood is a useful tool to determine the cellular immune response to SARS-CoV-2 both in acute disease and even more so post recovery. Ideally, once immunogenic T cell epitopes are better characterized, tetramer assays will allow for faster and more efficient detection of their frequencies. Moreover, assessing the potential role of pre-existing virus-specific CD4 T cells in healthy donors in the context of COVID-19 pathogenesis will be of particular importance. The observations made here are also highly relevant for the design and development of potential vaccines and should therefore be further explored in ongoing research on potential coronavirus therapies and prevention strategies.
This review was undertaken by V. van der Heide as part of a project by students, postdocs and faculty at the Immunology Institute of the Icahn school of medicine, Mount Sinai.
On 2020-06-23 10:31:41, user OxImmuno Literature Initiative wrote:
On 2023-07-24 23:20:31, user Dangard wrote:
This paper was published in Nature
On 2020-06-24 11:34:40, user Renzo Huber wrote:
This is a nice review that might also be valuable to the field of layer-fMRI. <br /> I think the manuscript might benefit from an additional brief discussion of the related laminar connectivity findings from non-invasive human fMRI studies:
-> layer-dependent connectivity in Fig. 6 and 7 of the following study: <br /> Huber L, Handwerker DA, Jangraw DC, et al. High-Resolution CBV-fMRI Allows Mapping of Laminar Activity and Connectivity of Cortical Input and Output in Human M1. Neuron. 2017;96(6):1253-1263.e7. doi:10.1016/j.neuron.2017.11.005
-> layer-dependent connectivity with gppi in this study: <br /> Sharoh D, Mourik T van, Bains LJ, et al. Laminar Specific fMRI Reveals Directed Interactions in Distributed Networks During Language Processing. PNAS. 2019:1907858116. doi:10.1101/585844
-> layer-dependent hierarchical connectivity discussed in this study: <br /> 1. Huber L, Finn ES, Chai Y, et al. Layer-dependent functional connectivity methods. Prog Neurobiol. 2020:in print. doi:j.pneurobio.2020.101835
On 2020-06-05 17:35:30, user wbgrant wrote:
Dark-skinned people living in Spain are at an increased risk of COVID-19 due to lower vitamin D production from solar UVB. This effect probalby explains the finding for Sub-Saharan Africa and the Caribbean. Not sure about Latin America, where rates are very high in several countries. See:<br /> Grant WB, Lahore H, McDonnell SL, Baggerly CA, French CB, Aliano JA, Bhattoa HP. Evidence that vitamin D supplementation could reduce risk of influenza and COVID-19 infections and deaths. Nutrients 2020, 12, 988. https://www.mdpi.com/2072-6...<br /> and references thereto at scholar.google.com<br /> as well as this response<br /> Grant WB, Baggerly CA, Lahore H. Response to Comments Regarding “Evidence that Vitamin D Supplementation Could Reduce Risk of Influenza and COVID-19 Infections and Deaths”. Nutrients 2020, 12(6), 1620; https://doi.org/10.3390/nu1...
On 2020-06-06 01:33:13, user David Hood wrote:
I think the "39.5% of cases seeking medical consultation in primary care settings" may be overly conservative in the model for a parameter representing getting medical advice, as it is based of influenza in the 2018 'flu season (a fairly typical year). We know from the ESR influenza surveillance site that healthline historically (I don't know the period for what they determine historical) get around 40000 Influenza like illness calls a year, and for the period from the week of 14/2 to 29/5 there are historically around 10000 ILI calls. In 2020, for the period from the week of 14/2 to 29/5, there were around 26000 ILI calls. Even allowing for false positive worries from anxious people boosting call numbers, it suggests that people seeking official advice about ILI is dramatically higher in 2020 (which I also acknowledge is not the same as visiting a primary care location about an ILI, which is the 39.5% figure, but the official advice was to ring Healthline, who were presumably advising testing/ isolation/ primary health as appropriate)
On 2021-06-06 09:28:02, user Ulltand wrote:
4 days after one dose. What does it say? We know from other studies that 21 days after one dose protection is about 90 %. 14 days is a to short period.
On 2020-06-06 13:05:56, user OxImmuno Literature Initiative wrote:
On 2020-06-08 14:35:52, user Francesco Rossi wrote:
Dear Dr.Streeck, <br /> is it possible, with your experimental approach, giving an estimate of the percentage of people hospitalized and treated in ICU?<br /> The theoretical model supporting lockdown was published by Ferguson and collaborators in The Imperial College report 9 (https://www.imperial.ac.uk/..., hereafter ICR9). In this reports, authors extimated that in Covid-19 epidemic “optimal mitigation policies (combining home isolation of suspect cases, home quarantine of those living in the same household as suspect cases, and social distancing of the elderly and others at most risk of severe disease) might reduce peak healthcare demand by 2/3 and deaths by half. However, the resulting mitigated epidemic would still likely result in hundreds of thousands of deaths and health systems (most notably intensive care units) being overwhelmed many times over.” (ICR9). Therefore they concluded that “epidemic suppression is the only viable strategy at the current time.” (ICR9). They focused their prediction on UK and US, but they claimed that their prediction could be applied to other high-income countries (ICR9).<br /> However the model they proposed is controversial for several reasons (https://retractionwatch.com... ; https://pubpeer.com/publica... "https://pubpeer.com/publications/227C0B09C78E146F96F7D679348BF7#)").<br /> May be possible to extimate the percentage of people of Gangelt that would be hospitalized and treated in ICU over the total citizen of Gangelt extimated to be infected with SARS-COV2, according to the parameters used in table 1 of ICR9 reports (which are taken from Verity et al., 2020, https://www.thelancet.com/p...? "https://www.thelancet.com/pdfs/journals/laninf/PIIS1473-3099(20)30243-7.pdf)?")<br /> The parameters are “Under the China case definition, a severe case is defined as tachypnoea (>=30 breaths per min) or oxygen saturation 93% or higher at rest, or PaO2/FiO2 ratio less than 300 mm Hg.7 Assuming severe cases to require hospitalisation (as opposed to all of the patients who were hospitalised in China, some of whom will have been hospitalised to reduce onward transmission), we used the proportion of severe cases by age in these patients to estimate the proportion of cases and infections requiring hospitalisation.” (Verity et al., 2020)
On 2020-06-29 19:23:20, user Thomas Ichim wrote:
What do you guys think of using QuadraMune? AT least it is natural
On 2020-06-30 08:08:24, user OxImmuno Literature Initiative wrote:
On 2020-06-30 15:59:24, user Dr. Hans-Joachim Kremer wrote:
Very good trial.<br /> It is interesting that the analysis by days since symptoms onset (<=7 vs. >7) appeared to be as discriminative as the main analysis or the subgroup analysis by respiratory support. Then, the onset of symptoms was strongly correlated with type of respiratory support. Hence, it would be interesting which of both (days since symptoms onset or respiratory support) was more discriminative, i.e. the independent predictor of efficacy of dexamethasone.
On 2021-01-10 08:48:26, user JS wrote:
This preprint was published in Nature in July,<br /> doi.org/10.1038/s41564-020-0761-6
On 2020-07-02 13:57:50, user Dr. Amy wrote:
It would be useful to see how obesity and A+ blood type change the HLH genetic expression. This paper has extremely useful clues toward targets to reduce severity.
On 2020-06-11 13:53:48, user peter tofts wrote:
please include: 1.) what type of corticosteroid was used (meythyleprednisolone) 2.) the dose (?1mg/kg or other v pulsed) duration etc... 3.) timing: the authors mention timing around 7 days from onset of symptoms- also Delay respect to Sx 13+/- 4.2 so I suppose maybe 6 days +/- 4 into their hospitalization? interesting paper thankyou
On 2020-07-03 19:26:50, user Jun Wan wrote:
Dr. Anthony Fauci warned this Tuesday (https://www.youtube.com/wat... "https://www.youtube.com/watch?v=m5l5UGS9ngc)") that a new strain of the coronavirus was found to be dominant around the world which was published the past Sunday by the Cell (https://www.cell.com/action... "https://www.cell.com/action/showPdf?pii=S0092-8674%2820%2930820-5)"). The new strain G614 they referred is the exactly same as what this paper identified associated with the mutation A23403G (group A). In addition to the mutation on Spike (614), another mutation C14408T on ORF1ab (P4715 changed to L4715) was also reported by this paper which co-occurred with the mutation on Spike (614). Both can become the features of these strains. Indeed, the paper combined both together to name them as strain GL (G614+L4715) or DP (D614+P4715). Their results suggest "that the GL strain of SARS-CoV-2 might become much more stable and prevailing than DP identified from Wuhan-Hu-1 after 6-month evolution and transmission." Actually, when you read the paper carefully, you may find more novel interesting findings discussed in their work.
On 2020-07-07 20:00:16, user Ron Conte wrote:
The article above assumes that ivermectin works as an inhibitor, and therefore compares approved dose to IC50. But the results of clinical studies (Chowdhury et al. ResearchGate; Rajter et al. medRxiv) suggest that ivermectin works in some other way, i.e. not as an inhibitor that would depend upon concentration.
On 2020-07-10 14:48:32, user jeromee5000 wrote:
And possible effect on fresh fish production<br /> And transmission by foodborn.
On 2020-07-11 14:17:56, user DMelanogaster wrote:
I understand that this study was done just to explore safety, not efficacy, but doesn't the finding that mortality rates were not decreased in those infused with the antibodies in such a large sample indicate that the antibody treatment was not at all useful for severely ill patients?
On 2021-01-26 10:38:27, user ??u?????? ????????? wrote:
Hi,<br /> the UK, South African and the Brazilian virus mutations can alter the results/conclusions of the study?
On 2020-06-21 13:22:30, user Joe Rubi wrote:
Will 70%-80% alcohol solutions kill the SARS-CoV-2 mutant of Covid-19?
On 2020-07-14 16:13:09, user CruiseLaw wrote:
Why isn't there a reference to a prior unpunlished study (not peer reviewed either) in the same server three months ago which reached an opposite conclusion? https://www.medrxiv.org/con...
On 2020-05-01 23:43:12, user Sinai Immunol Review Project wrote:
Title A single-cell atlas of the peripheral immune response to severe COVID-19<br /> Wilk, A.J. et al. MedRxiv ; doi:10.1101/2020.04.17.20069930
Keywords<br /> scRNAseq; Interferon-Stimulating Genes (ISGs); Activated granulocytes
Main Findings<br /> The authors performed single-cell RNA-sequencing (scRNAseq) on peripheral blood from 6 healthy donors and 7 patients, including 4 ventilated and 3 non-ventilated patients. 5 of the patients received Remdesivir.
scRNAseq data reveal 30 gene clusters, distributed among granulocytes, lymphocytes (NK, B, T cells), myeloid cells (dendritic cells DCs, monocytes), platelets and red blood cells. Ventilated patients specifically display cells containing neutrophil granule proteins that appear closer to B cells than to neutrophils in dimensionality reduction analyses. The authors named these cells “Activated Granulocytes” and suggest them to be class-switched B cells that have lost the expression of CD27, CD38 and BCMA and acquired neutrophil-associated genes, based on RNA velocity studies.
SARS-CoV2 infection leads to decreased frequencies of myeloid cells, including plasmacytoid DCs and CD16+ monocytes. CD14+ monocyte frequencies are unchanged in the patients, though their transcriptome reveals an increased activated profile and a downregulation of HLAE, HLAF and class II HLA genes. NK cell transcriptomic signature suggests lower CD56bright and CD56dim NK cell frequencies in COVID-19 patients. NK cells from patients have increased immune checkpoint (Lag-3, Tim-3) and activation marker transcripts and decreased maturation and cytotoxicity transcripts (CD16, Ksp-37, granulysin). Granulysin transcripts are also decreased in CD8 T cells, yet immune checkpoint transcripts remain unchanged in both CD8 and CD4 T cells upon SARS-CoV2 infection. The frequencies of memory and naïve CD4 and CD8 T cell subsets seem unchanged upon disease, though gdT cell proportions are decreased. SARS-CoV2 infection also induces expansion of IgA and IgG plasmablasts that do not share Ig V genes.
Interferon-signaling genes (ISGs) are upregulated in the monocyte, the NK and the T cell compartment in a donor-dependent manner. ISG transcripts in the monocytes tend to increase with the age, while decreasing with the time to onset disease. No significant cytokine transcripts are expressed by the circulating monocytes and IFNG, TNF, CCL3, CCL4 transcript levels remain unchanged in NK and T cells upon infection.
Limitations<br /> The sample size of the patients is limited (n=7) and gender-biased, as all of them are men.<br /> The activating and resting signatures in monocytes should be further detailed. The authors did not detect IL1B transcripts in monocytes from the patients, though preliminary studies suggest increased frequencies of CD14+ IL1B+ monocytes in the blood of convalescent COVID-19 patients[1].<br /> Decreased NK cells, B cells, DCs, CD16+ monocytes and gdT cells observed in peripheral blood might not only reflect a direct SARS-CoV2-induced impairment, but also the migration of these cells to the infected lung, in line with preliminary data suggesting unchanged NK cell frequencies in the patient lungs[2].<br /> The authors identified platelets in their cluster analyses. Recent reports of pulmonary complications secondary to COVID-19 describe thrombus formation that is probably due, in part, to platelet activation[3, 4]. A targeted characterization of the platelet transcriptome may thus benefit an increased understanding of this phenomenon.<br /> The transcriptome of the Activated Granulocytes should be further detailed. As discussed by the authors, IL24 and EGF might be involved in the generation of the Activated Granulocytes, though these cytokines are poorly represented in the blood of the patients. The generation of these cells should therefore be further investigated in future studies.
Significance<br /> The authors show a SARS-CoV2-induced NK cell dysregulation, in accordance with previous studies[5]. Alongside the upregulation of ISGs in NK cells, these findings suggest an impaired capacity of the NK cells to respond to activating signals in COVID-19 patients. The unchanged expression of immune checkpoints on CD4 and CD8 T cells suggest distinct SARS-CoV2 dysregulation pathways in the NK and the T cell compartments. In particular, the downregulation of transcripts encoding for class II HLA but not for the HLA-A, -B, -C molecules in monocytes suggest an impaired antigen presentation capacity to CD4 T cells, which should be further investigated.<br /> The authors provide preliminary results suggesting an age-related activation of the monocytes in the COVID-19 patients. Future studies will be needed to evaluate if the age impacts the involvement of the monocytes in the cytokine storm observed in COVID-19 patients.
References<br /> 1. Wen, W., et al., Immune Cell Profiling of COVID-19 Patients in the Recovery Stage by Single-Cell Sequencing. MedRxiv, 2020.<br /> 2. Liao, M., et al., The landscape of lung bronchoalveolar immune cells in COVID-19 revealed by single-cell RNA sequencing. MedRxiv, 2020.<br /> 3. Giannis, D., I.A. Ziogas, and P. Gianni, Coagulation disorders in coronavirus infected patients: COVID-19, SARS-CoV-1, MERS-CoV and lessons from the past. J Clin Virol, 2020. 127: p. 104362.<br /> 4. Dolhnikoff, M., et al., Pathological evidence of pulmonary thrombotic phenomena in severe COVID-19. J Thromb Haemost, 2020.<br /> 5. Zheng, M., et al., Functional exhaustion of antiviral lymphocytes in COVID-19 patients. Cell Mol Immunol, 2020.
Credit<br /> Reviewed by Bérengère Salomé and Zafar Mahmood as part of a project by students, postdocs and faculty at the Immunology Institute of the Icahn School of Medicine, Mount Sinai
On 2020-05-04 18:15:10, user Dr SK Gupta wrote:
High Dose Chloroquine with Poor patient selection are the culprits- not the drug <br /> Investigators were over enthusiastic in using a higher dose of chloroquine in elderly patients. In China National Health and Care Commission officially included the Chloroquine as medical agent on 19 Feb 2020 to be used in corona virus treatment plan. The dose of 500mg of chloroquine twice a day was decided following in vitro studies EC50 values, PBPK modeling and mice RLTEC data projected on Human beings (1). <br /> The initial recommended dose of 500 mg of chloroquine phosphate salt twice per day can quickly approach danger thresholds with sustained use at the maximum course of 10 days (Total chloroquine base 6gm). The lethal dose of chloroquine base in adults is about 5g. In China, On Feb 26, 2020, the treatment guidelines were revised, shortening the maximum course to 7 days to keep the total dose of chloroquine base 4.2 gm much lower than toxic dose (2). <br /> Elderly population is particularly prone to chloroquine toxicity especially at high doses. It is unfortunate in present study, that a base line ECG was not done to measure the QTc interval because the drug should be avoided if the QTc was more than 500ms especially in patients with severe disease prone to develop myocarditis due to primary disease Covid-19 per se(3). On the contrary we find that the higher dose regimen included Older age population with mean [SD] age, 54.7 [13.7] years vs 47.4 [13.3] years with more heart disease (5 of 28 [17.9%] vs 0) as compared to lower dose regimen. We in India having hige experience of using the drug would refrain from using such high doses.<br /> Gao et al reported results from more than 100 patients demonstrated that chloroquine phosphate is superior to the control treatment: in inhibiting the exacerbation of pneumonia, improving lung imaging findings, promoting a virus-negative conversion, shortening the disease course. Severe adverse reactions to chloroquine phosphate were not noted in the aforementioned patients (4). <br /> Poor patient selection and use of toxic doses of chloroquine seems to have brought disrepute to a promising drug. More studies are required before condemning the drug in present indication of Covid 19<br /> References:<br /> 1. Wang M, Cao R, Zhang L, et al. Remdesivir and chloroquine effectively inhibit the recently emerged novel coronavirus (2019-nCoV) in vitro. Cell Res 2020; 30:269–71<br /> 2. COVID-19: a recommendation to examine the effect of hydroxychloroquine in preventing infection and progression Dan Zhou, Sheng-Ming Dai and Qiang Tong J Antimicrob Chemother doi:10.1093/jac/dkaa114
Cardiovascular risks of hydroxychloroquine in treatment and prophylaxis of COVID-19 patients: A scientific statement from the Indian Heart Rhythm Society<br /> Aditya Kapoor, Ulhas Pandurangi,Vanita Arora, Anoop Gupta, Aparna Jaswal et al. Indian Pacing and Electrophysiology Journal, https://doi.org/10.1016/j.i...
Gao J, Tian Z, Yang X. Breakthrough: chloroquine phosphate has shown apparent efficacy in treatment of COVID-19 associated pneumonia in clinical studies. Bioscience Trends 2020; 14:72–3
On 2020-05-05 18:21:51, user Valerie Natale wrote:
I looked at supplementary figure 1 and I'm not convinced that anyone should be jumping to use the N protein in a diagnostic assay.
It looks like the ELISA for the N protein had MORE false negatives than the ELISA for the S protein (10 vs. 8).
Also, the negatives in the N assay in both systems were all over the place, with at least 1 or 2 giving false positives. The legend doesn't explain what all those lines in the figures are, but the N protein ELISA is in no way as tidy as the N protein LIPS assay.
Why is there no ELISA for ORF8?
Finally, the sample size (15 patients and was very small. They should have done this work on 50+ patients and the same number of controls. Results using small sample sizes can look sooo good, until you pile more data in, and suddenly...it gets messy.
On 2021-02-22 15:49:56, user Lenisse M. Reyes wrote:
This paper has been provisionally accepted in the journal PLOS ONE.
On 2020-04-18 21:04:02, user Katri Jalava wrote:
Manuscript does not include references for the methodology used. Furthermore, the mathematics behind the model is not being presented. More rigorous, referenced comments why you choose to use a model that is not widely used in infectious disease outbreak modelling would be useful, and preferable present the results in parallel with a standard SEIR model. You could also discuss IHME model.
For the parameters:<br /> • I am not sure how you calculated the deaths. If you used Wuhan data, all case fatality numbers need to be revised as China updated its numbers. This is also obvious from your figure 6. There are 61 deaths as per 18 April in HUS (and it does not include all 48 deaths outside hospitals), and ~ this number should be reached only around 1 May. There is something else wrong than just the Chinese number, I think. If I understand correctly from the text that you may have calculated the deaths from HUS data, it goes badly wrong, I am afraid. There is literature how to correct the ongoing outbreak death numbers to get accurate estimates, or use Chinese numbers. Calculating the mortality rates is one of the most challenging things. Even though new cases would stop today, number of deaths would increase for the next 3-4 weeks from the current case load. Simply dividing the number of deaths by total number of cases may only be used post-outbreak. <br /> • Individual characteristics should include underlying illness if possible, not only age. This is probably available from TTR, and there is surely some sort of enhanced surveillance done.<br /> • Would it be possible to estimate the success of movement restrictions based on overall mobile phone data?<br /> • Excretion is by disease severity/age, https://doi.org/10.1016/S14.... This is likely (one of) the reason(s) why the outbreaks are so explosive in the elderly people’s homes. But as the illness is often mild(er) during the first week (when cases infect onward), and it was also noted in the mentioned publication that there was not a difference between severe and mild cases in the initial/peak excretion (but # observations small), this may not need to be taken into account, but would need to be mentioned. Excretion (or lack of it) may need to be taken into account with children.<br /> • Cases should be ideally categorized to travel, community acquired and mass gathering participants as well as household contacts. These all have different time spent in the community before testing and isolation. Help line has probably an algorithm for the cases which could be used.<br /> • Massong 2008 is pretty outdated reference for a contact matrix, there are more recent ones. Note that especially school aged children from abroad may not be valid as there are no boarding schools in Finland.<br /> • Relative infectiousness period is quite short, it is up to a week, please refer to<br /> https://doi.org/10.1038/s41...<br /> • P(infection|virus contact), test more values, this is out of a hat(?) Needs a distribution (gamma) around it.<br /> • P(symptomatic|infection) 50 %, Ferguson’s figure includes mild cases, ie. it is not really asymptomatic, but “non-GP-seeking”.<br /> • P(death|severe, not hospitalized) 20 % seems too low. Please have a look on the elderly home data.<br /> • The assumption that test positive would lead to 0 % transmission is likely quite false. Most of the mild cases remain at their homes (they should ideally be isolated to a hcf, but this is unlikely happening). There are publications describing household cases where this may be estimated. This could and should be assessed ideally from HUS case data.
A positive thing is that your study clearly shows (what was also known from international data) that suppression works well, mitigation is of less use. This is also logically evident when there is not major community transmission ongoing.
On 2020-02-28 08:19:07, user iraq2010 wrote:
hi sir,<br /> Please share data for the purpose of developing the algorithm.I am a researcher in the field of deep learning especially in classification and CNN algorithms..<br /> Thanks for help the world
falahgs07@gmail.com
On 2021-10-17 14:04:46, user BouncingKitten wrote:
The article mentions "All data is available in the supplementary file" but doesn't provide a link to the file.
Could you update the paper with a link to the supplementary file please?
On 2020-03-08 10:12:04, user Mikko Salervo wrote:
Hi,
I might have missed it, but I could not find any details of the sensitivity analysis considering the february 1st outlier. It looks like the outlier has a considerable effect on the estimated trend between jan. 23- feb. 01, which might lead to an overestimation of the effectiveness of the centralized quarantine measured in comparison to the less rigorous measures during jan. 23-feb. 01.
On 2020-03-13 16:56:55, user Brian Reed wrote:
This is an important contribution to the literature. I have a few questions, the answer to which might make it even more valuable and better able to evaluate the rates of transmission as an effect of age. I take these mostly from carefully table 3 and table 1, but also from the 'transmission characteristics' subsection of the results section.
Of the 1298 close contacts, it appears only 1155 actually had tests come back.
There is evidently substantial overlap between the household (HH) contacts and the meal contacts, which makes sense. Certainly the travel contacts in general are coming back much lower. The question is, where do the age groups stratify within these. I would imagine by far the close contacts with 0-9 and 10-19 are much more likely in the HH, as well as the "often" category" of contact frequency, as there is a much less likelihood of having co-travel and co-non household meals with kids for the substantial majority of your initial cases (except for maybe the 4 who were kids). I suspect this may skew the conclusion that the rates of transmission for these two younger age groups are similar to older groups. I suspect likewise that the substantial portion of the travel negatives are with older age groups. I think performing the age analysis, or at least presenting the data, for each age group for the HH, travel, meal, and contact frequency subgroups would be helpful. I am aware that the n for some of these subgroups might be too low to allow for a real analysis, but then that is part of my point...<br /> Also, there is a substantial gender difference in those infect among close contacts, with females having a far greater % infection rate (almost double!). Similarly to the age effects, stratifying this gender ratio by age as well as close contact type would be of benefit.
I hope you find my comments constructive and can address them. I still think children may be somewhat more resistant, although less so than before i read this preprint, and would like to know if I should adjust my view further still.
Thanks!
On 2021-07-22 18:07:27, user Ken Jacobie wrote:
What was the average age and INNATE IMMUNE SYSTEM STATUS of these 167 person in this study? How many were CHEMOTHERAPY recipients etc...
On 2020-05-14 15:31:20, user Emanuel Papadakis wrote:
At the statistical level there are two major flaws: What are you using the chi-sq test for? You test a hypothesis. State the hypothesis. Your data for families B and C show rather random infections. Given the 14 day window of symptoms and the date of the start of the lock down the members of the B and C families may have been infected randomly outside of the restaurant. Also, why are the stories of all of these people accurate? You do have something to say but since you do not state the two hypothesis for which you test. Also your table at the end violates the assumptions for the test. The main assumption is independence and these people belong to families so the number of patients in total, namely 5 does not constitute 5 independent cases. Honestly, you try to establish causality and this is difficult because you have families. But your work despite these setbacks is interesting at the exploratory level. But you have no statistical significance as you treat your data because tests can be applied under certain conditions.
On 2020-05-18 18:01:55, user 18wheel wrote:
I believe you're onto something here: nothing to do with infection but the response. The targeting (elderly, populations with low vitamin D uptake for various reasons) will be borne out over the seasonal change (a comparison between north of 35 and south of 35 cities in August/September cross-referenced with local fortification and diet would be most interesting)
On 2021-11-04 03:14:20, user Hiromichi Suzuki wrote:
We thank you for your comments, The reagent was currently approved in October, 2020. We changed the year of approval from 2021 to 2020, which is the mistake of description.
On 2020-03-28 00:45:53, user Adam Sobel wrote:
Would also like to see expanded cohort to include a range of disease severities. Most reproductive-aged men would currently be expected to experience mild symptoms; if there is a correlation, is it linear wrt severity?
On 2020-03-28 22:38:39, user Sinai Immunol Review Project wrote:
Summary of Findings: <br /> - Prospective cohort of 67 patients, clinical specimens taken and follow-up conducted. <br /> - Viral shedding, serum IgM, IgG antibody against NP evaluated and correlated to disease severity and clinical outcome <br /> - Viral RNA levels peaked at 1 week from febrile/cough symptom onset in sputum, nasal swabs, and stool samples. Shedding ranged from 12-19 days (median ranges) and was longer in severe patients. <br /> - IgM and IgG titers stratified patients into three archetypes as ‘strong vs weak vs non-responders’. Strong responders (with higher IgM/IgG titers) were significantly higher in severe patients.
Limitations (specific for immune monitoring <br /> - Patient cohort is small for such a study and no individuals who were asymptotic were included; thus we cannot clearly interpret antibody titer associations with disease severity without "immunity" response.<br /> - Not clear if stool RNA captured from live infection in intestine/liver or from swallowed sputum. Transmission electron microscopy (TEM) carried out on sputum samples as proof of concept, but not stools. TEM unreasonable for actual clinical diagnosis. <br /> - Several patients had co-morbidities (such as pulmonary and liver disease) that were not accounted for when tracking antibody responses. Viral kinetics and IgM/IgG titers in subsets of patients with underlying conditions/undergoing certain medication would be informative.
Relevance (specific for immune monitoring) <br /> - Three archetypes of antibody response to SARS-CoV-2 with different disease progression and kinetics is useful to stratify patients, and for future serological tests.
References: <br /> 1. Liu L, Wei Q, Lin Q, Fang J, Wang H, Kwok H, et al. JCI Insight 2019; 4(4): pii: 123158. <br /> Doi: 10.1172/jci.insight.123158
Review by Samarth Hegde as part of a project by students, postdocs and faculty at the Immunology Institute of the Icahn school of medicine, Mount Sinai.
On 2020-05-20 14:45:40, user OxImmuno Literature Initiative wrote:
On 2022-10-24 17:42:56, user CDSL JHSPH wrote:
Dear Mekkes et. al.,
Thank you for sharing your work with us! Creating models to predict neuropathological diagnosis based on temporal signs and symptoms is very significant research, and I’m looking forward to seeing where this heads in the future! I enjoyed reading this paper, especially since it introduced me to techniques and concepts I was previously unfamiliar with. That being said, while reading I did notice some parts that I think could be given further clarity in order to make this paper more accessible to those not within the immediate field. There are a lot of abbreviated disorders mentioned, and I noticed that some were explained in the introduction however I could not find the proper matching terms for disorders abbreviated in later sections. I think it would be a great benefit if there were a word key with the disorders and their corresponding abbreviations. Especially since different disorders may be represented by the same acronyms, so googling it may not provide the reader with the correct one. Also, I was wondering if you plan to do another study focusing on optimizing these models to diagnose mental illnesses and psychiatric conditions in a separate paper? I understand the main focus on brain disorders and neurodegenerative diseases since those can be linked to prominent neuropathological changes, but when reading the abstract I was given the impression that mental illnesses would be focused on to a larger degree than I noticed in the paper. I would love to see any future steps you take with this, especially since the alterations in cognition and behavior associated with mental illnesses can be observed from live patients, and don't necessarily have to be inspected retroactively like from brain donors.
On 2022-10-24 18:20:28, user Jordan Ross wrote:
This study was aimed to understand the complexity of diagnosing brain disorders in society today. The author utilizes data in statistical analyses to identify this crossover and give rise to further research in the field. This journal article emphasizes the use of a computational pipeline to establish a series of clinical synopses regarding a series of brain disorders from donors that were previously diagnosed. Donors from the NBB underwent a series of cross-disorder research to identify signs and symptoms associated with psychiatric diagnoses. Overall the article had great analyses and synthesis of ideas pertaining to the mechanisms of symptomatology and how it differentiates across brain disorder profiles. One thing to note is organization in this article. Maybe incorporate these main figures within the results section with titles and keys for each to limit confusion to the reader. Additionally, in the methods section (2.7.3 Observational profiles of the signs and symptoms), the author referred to a figure but did not implicitly state which one. It is rather stated as: (Figure number?). This should be better examined. Lastly, the addition of implicitly stating the need for further research is a great way to highlight the need for experimental study amongst the reader. With this, it would be helpful to highlight your targeted audience within this article (i.e. professional, student, etc.). If you have a targeted audience with a scientific background you will not need to go into further depth to define terminology and specific neurological pathways in this study. Overall, job well done and very interesting study!
On 2022-11-08 15:26:46, user W_R_1 wrote:
Hi,
Thanks for the very interesting and useful paper!
I wondered if the stated z-value calculation (p26, next-to-last line) has a typo of a "-" sign rather than a "+" in the denominator?
I was also curious as to the properties of this test statistic in general, given that the two beta estimates aren't necessarily independent (i.e. when calculating the variance of the difference between the two beta estimates, their covariance can't necessarily be assumed to be 0?)?
On 2022-11-26 06:41:30, user Soichiro Obara wrote:
Dear Prof. Schindler,
First I (Soichiro Obara, the PI of this project) apologize for being replying to your great comments.
Second, our project has modelled the European APRICOT as you commented. We would sincerely appreciate your suggestions from the viewpoint of the author of the APRICOT.
On this matter, before launching this project, we got in contact with the principal investigator of the APRICOT, Prof. Walid Habre, who has been giving many suggestions and comments to us.
As you might have concerns regarding data acquisition, he also gave comments as to how tough the data acquisition and cleaning in the APRICOT.<br /> Hence, this time, we assume that we may need to change the case report form (actually modelling the CRF of the APRICOT) after a pilot study which hopefully will be conducted February or March in 2023.<br /> (I have heard from Prof. Habre that a pilot study was conducted in three centers to examine the feasibility of the protocol and the CRF in the APRICOT.)
If possible, I would appreciate your "specific and direct" suggestions as to which data items in the APRICOT might be difficult or be unnecessary to collect.
Again we would sincerely appreciate your great suggestions and comments, if you kindly gave, in the future again.
I am very pleased if you kindly get touch with me on behalf of the Asian Society of Paediatric Anaesthesiologist research committee.
Soichiro Obara (Japan)<br /> e-mail address: soichoba1975@gmail.com
On 2022-12-09 13:17:21, user Maja wrote:
I applaud the authors for their meaningful work on reporting COVID-19 trials. The results are fascinating. Only 19% of COVID-19 clinical trials were published within three months of completion, which shows how much work has to be done regarding research transparency, publishing trial results, and responsibility while conducting clinical trials. Timely publication of results and avoiding research waste in clinical trials should be a priority, especially during global public health emergencies, such as the COVID-19 pandemic.
On 2022-12-27 15:27:14, user nobiggie wrote:
The most interesting piece of information here seems to be that the more shots you get the more likely you are to get sick but somehow it goes unmentioned
On 2023-01-06 12:54:34, user Mike Verosole wrote:
A more recent, peer reviewed publication involving a much larger population set showes that indeed vaccinated people were more likely to be infected vs previously infected individuals, however, the vaccinated group was about 25-35% less likely to be hospitalized or experience death. Maybe this paper will be reviewed in light of this new publication
On 2023-02-19 17:11:56, user citrate reiterator wrote:
The simplest explanation for the vaccine dose trend is that it’s not broken out by previous infection status and date. Other data in the paper confirms that recent past infection is very protective against the omicron subvariants. The more shots you have, the more likely you probably were to be omicron-naive at the start of the study period. As Luis Cruz points out below, even past research from this same group has not previously found a dose-response relationship of this type. Also, when they actually fit a model that takes these confounders into account (the proportional hazards model), they find that there is a modest preventative effect of the bivalent booster — which is not consistent with a dose-dependent increase of risk following vaccination.
On 2023-01-13 22:09:06, user WILLY CESAR RAMOS MUÑOZ wrote:
This paper has been published in Healthcare journal: https://www.mdpi.com/2227-9...
On 2023-01-16 01:47:52, user Brian Piper wrote:
This is a timely review on an important topic!
In evaluating the safety of the relaxation of take-homes, it might be helpful to consider that “The number of clients receiving methadone increased from 306,440 in 2011 to 408,550 in 2019 and then decreased to 311,531 in 2020” [1]. This reduction from 2019 to 2020 of 97,019 patients is a 23.7% decline!<br /> The increase in the number of overdoses involving methadone may only appear equivalent to the increase in all opioid overdoses when one does not take this factor (i.e. using the population size and not the number of methadone patients as the more appropriate denominator) into account.
The authors also are encouraged revisit the important policy research in England and Scotland which identified sizable declines in methadone overdoses following implementation of supervised administration [2].
Citations
National Survey of Substance Abuse Treatment Services (N-SSATS): 2020 Data on Substance Abuse Treatment Facilities. Table 3.2.
Strang et al. Impact of supervision of methadone consumption on deaths related to methadone overdose (1993-2008): analyses using OD4 index in England and Scotland. BMJ 2010;341:c4851.
On 2023-02-09 16:44:55, user lepromatous wrote:
Missing some citations here... Example: https://pubmed.ncbi.nlm.nih...
On 2023-02-09 23:16:58, user Constantinos C wrote:
The published version can be accessed via the following link: https://www.nature.com/arti...
On 2023-02-20 07:41:20, user Martin Schecklmann wrote:
I miss in the discussion the meaning of relevant dose of TMS with respect to e-field. We could demonstrate that F3-based method is similar to neuronavigation-based method with respect to clinical efficacy even if induced e-field was lower for F3-method (doi: 10.1016/j.brs.2021.01.013). In addition your sample size is very low and correlation between clinical efficacy and e-field may be biased by outliers (figure 3).
On 2023-02-22 16:16:10, user Robert Clark wrote:
Major flaw in your analysis. <br /> You noted the report by Peterson et al included cardiac arrest cases where they survived:<br /> “This study identified 173 confirmed SCD cases (and 158 SCA cases with survival), so on average 43 SCDs per year.”
Since there has been a great increase in awareness of cardiac arrests and arrhythmia in athletes there have been a great increase in AED’s (automatic defibrillators) available and those trained in CPR.
Then many of those cases even in just the last couple of years survived who would have died previously. So you should have also counted the number of cases who had cardiac issues who also survived in the current, pandemic era.
Additionally Maron et al described other causes other than just cardiac arrest as the cause of the sudden deaths. Since the Goodsciencing report considers several kinds of serious life threatening illnesses arising in athletes you should also have done a separate count of those cases in the Goodsciencing report, again both of those who died and those who survived.
Robert Clark
On 2023-03-02 18:33:37, user Daniel Park wrote:
Fascinating. Lines up well with other evidence including the Lewnard et al. study showing interactions b/w pneumococcal carriage and SARS-CoV-2. We also saw similar patterns with viral load (+ severity) and pneumococcal carriage with human endemic CoVs: https://journals.lww.com/pi...
On 2023-03-17 20:15:27, user Guilherme Mattos Jardim Costa wrote:
Peer-reviewed version available at: https://doi.org/10.1186/s12...
On 2023-04-04 06:16:50, user Kevin J. Black wrote:
I think you'll want to examine the spatial delayed response task, which Tamara Hershey and other have studied in Parkinson disease, e.g. https://pubmed.ncbi.nlm.nih...
On 2023-05-05 22:48:17, user Zhaolong Adrian Li wrote:
This preprint has been published May 2nd, 2023 at https://doi.org/10.1093/tex....
On 2023-05-16 21:45:14, user Maria Log wrote:
This is really very strange and disappointing that you consider the use of private e-mail as an indicator of fake articles. Since my years as a PhD student I always use, and I use now and will use my personal email in all my articles. There are many reasons for that, but the most crucial one is that I (as well as any other researcher)can change my affiliation and then my institutional e-mail will be inactivated and ones who are interested in my publication will not be able to get an answer to their questions. So the use of an email linked to the organization is unfair and irresponsible. Here is a link to my google scholar profile: https://scholar.google.com/... - good luck with finding any fake articles!
On 2023-05-24 14:24:40, user Shaffi Fazaludeen Koya wrote:
The article is now published in Lancet SEA journal,<br /> https://www.thelancet.com/j...%20in%202016%E2%80%932020 "https://www.thelancet.com/journals/lansea/article/PIIS2772-3682(22)00130-5/fulltext#:~:text=The%20pooled%20hypertension%20control%20rate,28.0%25)%20in%202016%E2%80%932020").
On 2023-06-07 16:45:42, user Nathan Pearson wrote:
In this study (of American patients to whom bivalents were available only as booster), all bivalent recipients by definition got 3+ total mRNA vaccine doses, while the current preprint text's control group got 2+.
As such, to compare equal dose counts (if not timing relative to prior waves etc.), can the authors please add a sub-analysis of peer bivalent (original or BA.4/5) vs. 3+ dose (not 2+) monovalent recipients?
Not doing so inherently confounds any additional benefit of bivalent vs. monovalent formulation with a group difference in total doses per participant.
Thanks
On 2023-06-07 17:10:10, user Nathan Pearson wrote:
Also: in adding such needed apples-to-apples comparison of bivalent vs. monovalent peer boostees (i.e., with 3+ doses in each otherwise background-similar group), can the authors take care to control for time since last dose?
I.e., if bivalent boostees got boosted at most k months before data freeze (so were tracked for severe COVID for <=k months after last dose), likewise tally cases of severe COVID in monovalent boostees <=k months (but not longer) after their last dose.
Thanks.
On 2023-06-22 16:56:53, user Benjamin Shuman wrote:
This is interesting work. The descriptions of methodological variation (task, muscles measured, amplitude normalization method) certainly impact how the studies compare to one another. However, there is no discussion of filter parameters and its impact on the interpretation of synergy metrics. With more aggressive filtering the resultant processed EMG signal is less variable which also has a direct impact on the number of synergies extracted or tVAF1/DMC. The Collimore article is noted for having the least number of synergies identified but also has the most aggressive LP filtering (4hz). There may be additional trends in the article findings when looked at through a filtering lens and I would encourage the authors to consider this. Finally, please note that DMC is a linear transformation of tVAF1 (Steele 2015). As such the trends in DMC are directly comparable to tVAF1.<br /> Thanks,
On 2023-07-10 13:53:43, user Carlos Menck wrote:
This work was published in Carcinogenesis and the correct citation is: <br /> Corradi C, Vilar JB, Buzatto VC, de Souza TA, Castro LP, Munford V, De Vecchi R, Galante PAF, Orpinelli F, Miller TLA, Buzzo JL, Sotto MN, Saldiva P, de Oliveira JW, Chaibub SCW, SarasinA, Menck CFM. Mutational signatures and increased retrotransposon <br /> insertions in xeroderma pigmentosum variant skin tumors. Carcinogenesis. 2023 May 17:bgad030. doi: 10.1093/carcin/bgad030. Epub ahead of print. <br /> PMID: 37195263.
Corradi C, Vilar JB, Buzatto VC, de Souza TA, Castro LP, Munford V, De Vecchi R, Galante PAF, Orpinelli F, Miller TLA, Buzzo JL, Sotto MN, Saldiva P, de Oliveira JW, Chaibub SCW, Sarasin A, Menck CFM. Mutational signatures and increased retrotransposon
insertions in xeroderma pigmentosum variant skin tumors. Carcinogenesis. 2023 May 17:bgad030. doi: 10.1093/carcin/bgad030. Epub ahead of print.
PMID: 37195263.
On 2023-10-06 12:35:59, user Ashok Palaniappan wrote:
An expanded, significantly revised and advanced version post peer-review is now available [open-access]:<br /> Muthamilselvan S, Raghavendran A, Palaniappan A. Stage-differentiated ensemble modeling of DNA methylation landscapes uncovers salient biomarkers and prognostic signatures in colorectal cancer progression. PLoS One. 2022 Feb 24;17(2):e0249151. doi: 10.1371/journal.pone.0249151. PMID: 35202405; PMCID: PMC8870460.