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13 Sep, 19 tweets, 6 min read
This preprint looking at the risk of vaccine-related side-effects vs COVID-19 infections for children has received a lot of attention, and people have been asking my opinions on it. So, a few thoughts 1/n
2/n The preprint itself is pretty simple - comparing the calculated risk per million vaccines of having a VAERS report consistent with myo/pericarditis (CAE) with the number of COVID hospitalizations per 100,000 children aged 12-17
3/n The authors found that the rate of VAERS reports consistent with myocarditis was higher than the average rate of COVID hospitalizations per 100,000 children in a population where there was a reasonably high current prevalence of COVID-19
4/n To think about this, it's important to note what VAERS is - it is a passive reporting system (the acronym stands for Vaccine Adverse Event Reporting System) that anyone can enter in a report to cdc.gov/vaccinesafety/…
5/n Because this system is designed to be sensitive and pick up even quite rare harms, there are some caveats, most notably that (as the CDC points out) you cannot determine whether a vaccine caused a specific issue from VAERS alone
6/n So I'm a bit confused by the terminology here. As far as I can see, the authors have relied entirely on VAERS to determine case figures, which the sources they reference point out cannot be considered a causal link
7/n In other words, it's not the likelihood of experiencing a post-vaccination CAE, but the likelihood of having a post-vaccination REPORT of a CAE per million children
8/n This may sound like needless pedantry, but it isn't - media reporting and attention are a known confounder of passive reporting systems like VAERS. If you have a lot of news articles, you get more reports, even if those are not actually linked to the vaccines
9/n And it's interesting to note that, as the authors point out, the CDC (who use much more detailed information to calculate these rates) have a lower estimate of post-vaccine CAE than this preprint
10/n The second point that confuses me about the paper as it currently stands is comparing two numbers with very different denominators:

1. events per 1mil vaccines
2. events per 1mil children per 120 days
11/n One way to think about this disparity is to simply equalize the denominators. We could do this by calculating the 120-day risk of CAE following vaccination for males aged 16-17 in the United States
12/n Based on the numbers in table 1, that would be 110 total events (doses 1+2), and a population of about 3 million, so very crudely 37 CAEs per 120 days

This is lower than most of the calculated rates of COVID-19 related admissions in the paper
13/n Alternatively, we could compare the risk having a CAE after vaccination with the risk of hospitalization for kids per INFECTION

Fortunately, there's already a great resource for doing this in a recent preprint medrxiv.org/content/10.110…
14/n From this preprint, the likelihood that a child aged 16-17 will experience an infection severe enough to warrant hospitalization is about 1 in 500, and the risk of needing ICU is about 1 in 4,000
15/n So might reasonably compare the risk of 94-168 CAEs per million vaccinations posited by this paper with the risk of 2,400 hospitalizations expected per million infections with COVID-19
16/n Now, it is worth noting that this assumes that the risk of eventually contracting COVID-19 is 100% for children who are not vaccinated, however as time moves on that is not, I think, entirely unreasonable
17/n I think weighing the competing risks of vaccination vs infection is a very challenging thing to do, so I commend the authors on the preprint. I think these might be things to consider when updating it for future versions
18/n That being said, I'm not sure I agree that this preprint shows vaccination to be riskier than immunization for these age groups/genders. Not an easy question to answer!
19/n This piece from @dfreedman7 is a fairly startling addition to the discussion. The implication appears to be that even the basic case definition the authors used was entirely useless, which is less than ideal

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More from @GidMK

14 Sep
My favourite wildly silly headline of the week (maybe the month)

No, Botox probably isn't protecting people from COVID-19
The study is here, and it's literally just a retrospective analysis of about 200 people who got Botox for a variety of things and were then asked if they had symptoms consistent with COVID-19 ncbi.nlm.nih.gov/pmc/articles/P…
I mean...literally. That's the whole study
Read 5 tweets
13 Sep
It's amazing how stuff like this gets created and spread. This is absolute nonsense, but unless you know quite a bit it's hard to understand why
The designation of "ivermectin" vs "non-ivermectin" countries is based on Mass Drug Administration campaigns (MDAs), which are used in Africa to combat endemic parasitic diseases
Those MDAs are aimed at eliminating river blindness, and are amazingly effective. They use (among other things) 1/2/4-yearly doses of ivermectin which are given to a large % of the countries in question
Read 9 tweets
12 Sep
Can't wait until the pandemic is over and I have to fly 24 hours across the world to pin up a poster and sleep my way through 3 days of presentations again
I kid, conferences are of course immensely important networking opportunities without which I would never have gotten drunk at 2am while eating tteokbokki in Seoul, or gone whiskey-tasting in Dublin
I still have notes from both of those conferences, and while unintelligible they are a great reminder of some wonderful collegiate hangovers with my peers
Read 4 tweets
10 Sep
This graphic has been passed around a lot by the ivermectin crowd, so I thought I'd very briefly explain why it's quite clearly incorrect 1/10
2/10 The graphic is based on this preprint on medrxiv, which appears to make several mistakes that lead to a lack of much meaning in the final outcomes of the analysis
3/10 The basic idea of the paper is to split countries up by their use of ivermectin to treat river blindness, and then compare them based on COVID-19 deaths

There are two main issues with this
Read 13 tweets
9 Sep
Today I've been sent what looks like real data collected by real doctors, and I say that because it looks very much like a keyboard-happy 4 year old has gone wild at a paper spreadsheet with his crayons and glue and someone uploaded that onto Excel
If you don't have to spend at least 30 minutes cleaning data before you can use it, was it really collected at all?
Note: I absolutely love doctors, and this is not at all a dig. The key is to make sure you've got a data management person on the team so that they can audit this stuff BEFORE it gets to the analysis stage!
Read 4 tweets
9 Sep
This letter has been published in the AJT, claiming that

a) The Elgazzar study is not withdrawn
b) Even if it is, this makes no difference to meta-analyses of ivermectin

Some thoughts about why this is very misleading and/or simply wrong 1/n
2/n For the first claim, it is rather fascinating to see the defense that the authors have chosen. As a reminder, most of this study was plagiarized, and the dataset the authors UPLOADED THEMSELVES was fake gidmk.medium.com/is-ivermectin-…
3/n Even if you dislike me personally for whatever reason, several independent experts on fraud confirmed that this data cannot possibly have come from a real RCT i.e. steamtraen.blogspot.com/2021/07/Some-p…
Read 15 tweets

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