People have claimed that ivermectin is 100% effective as a prophylactic for COVID-19 based on an observational trial of the drug
I'm extremely concerned about this trial. It definitely should not be used as evidence for anything 1/n
2/n The paper is here, and it's actually two studies - a pilot and a larger interventional trial where the authors gave ivermectin+carrageenan to one group of healthcare workers, and compared to a "matched" control media.marinomed.com/8b/7a/c7/nota-…
3/n The authors report that 0% of the people treated with ivermectin+carrageenan got COVID-19, while in the pilot 11% and in the full trial more than 50% of the control group got sick
4/n Now, I cannot stress enough how big of a finding that would be if true. Yes, it's observational, but it's also a disparity that's heretofore unknown in medical science. You just don't see 100% benefit for ~anything~
5/n But even at the most casual of glances, this study has endless issues. First problem - it was received, accepted, and published in 7 days. That's, uh, not usual in academia, even during the pandemic
6/n The journal itself looks...less than reputable - there's only 1 "issue", 7 papers total, and one paper published online in August 2020 is still "in press"
Also, just look at the "about us" page!
7/n The parent company, Medical Press Open Access, wants to associate "with scientific researchers to excel their discoveries that make the difference". If you're interested, you can contact their editororial board
OA fees - $1950 USD, no refunds
8/n So none of that's great. What about this paper?
Even without ANY DIGGING WHATSOEVER it looks incredibly low-quality
9/n This is apparently an observational trial where people were allocated by a non-random method to take ivermectin or not, but there's no data on what that method was, no information on any potential confounders, and really just no information at all
10/n The first table of results, purportedly reporting the first experiment, is incorrect - both totals are wrong
11/n The graphs reporting the second experiment appear to have been made in Excel, and frankly are not adequate for a scientific paper. The legend is particularly weird
12/n So all that's bad. As far as interventional observational trials go, this is probably the worst one I've ever seen. When the authors don't even report how they divided people into intervention and control, that's not a good sign!
13/n But looking at the results, some things immediately spring out that are even worse
For one thing, the authors pre-registered the trial
The pre-registration has results as well
They DO NOT MATCH the results in the publication 😬😬😬
14/n For example, the pre-reg reports the study had 72 women in the control arm. Table 1 reports 51 women
15/n The pre-reg has a median age of 42 for the intervention arm. According to table 1, 70% of the intervention arm had an age below 40 years
This is impossible
16/n Worse still, the graphs from the results contradict the text in the study itself (H/T @K_Sheldrick)
Here the results say that 120/130 people tested positive, but the graph implies that 105/110 people did
17/n (Note: I saw implies, but frankly since the graph is so terrible it technically says that out of a control group of 215 people 105 got infected. I'm being generous and assuming that's not what the authors meant)
18/n On top of all of this, the numbers from table 1 look very strange. Here's the histogram of numbers, note that six appears 10 times, three numbers appear 7 times, and numbers over six appear only once
19/n What does this all mean?
In essence - this trial is about as untrustworthy as they get. No one should be using it for evidence of anything
20/n Given that the graphical and written representations of the primary outcome of the study appear to conflict, and the results tables differ between the pre-registration and the publication, it is worth asking whether this study even took place at all
20.5/n If this study did occur, which record is right - the graphs? The pre-registration? Are none of the numbers correct?
21/n This adds to the long and growing list of concerns about ivermectin literature. It is extremely worrisome that studies like this have been cited multiple times and referenced as evidence for benefit
22/n I'm not saying that this research was fraudulent, but what I will say is that I do not see how anyone who read this paper could've cited it as a resource for anything because the issues are...numerous
According to Google Scholar, cited 22 times
23/n update. This is a very bad sign. Authors refusing to communicate and share data is a very common feature of scientific fraud (i.e. Surgisphere)
24/n it is often impossible to know if a study is fraudulent or not, but regardless until the lead author shares anonymised patient data we are forced to treat this study as if it was
Hopefully we get the data 🤷♂️
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The final large published trial on ivermectin for COVID-19, PRINCIPLE, is now out. Main findings:
1. Clinically unimportant (~1-2day reduction) in time to resolution of symptoms. 2. No benefit for hospitalization/death.
Now, you may be asking "why does anyone care at all any more about ivermectin for COVID?" to which I would respond "yes"
We already knew pretty much everything this study shows. That being said, always good to have more data!
The study is here:
For me, the main finding is pretty simple - ivermectin didn't impact the likelihood of people going to hospital or dying from COVID-19. This has now been shown in every high-quality study out there.pubmed.ncbi.nlm.nih.gov/38431155/
What's particularly interesting is a finding that the authors don't really discuss in their conclusion. These results appear to show that gender affirming care is associated with a reduction in suicide risk 1/n
2/n The paper is a retrospective cohort study that compares young adults and some teens who were referred for gender related services in Finland with a cohort that was matched using age and sex. The median age in the study was 19, so the majority of the population are adults.
3/n The study is very limited. The authors had access to the Finnish registries which include a wide range of data, but chose to only correct their cohorts for age, sex, and number of psychiatric appointments prior to their inclusion in the cohort.
These headlines have to be some of the most ridiculous I've seen in a while
The study tested 18 different PFAS in a tiny sample of 176 people. Of those, one had a barely significant association with thyroid cancer
This is genuinely just not news at all
Here's the study. I'm somewhat surprised it even got published if I'm honest. A tiny case-control study, they looked at 88 people with thyroid cancer and 88 controls thelancet.com/journals/ebiom…
Here are the main results. There was a single measured PFAS which had a 'significant' association with the cancer, the others just look a bit like noise to me
A new study has gone viral for purportedly showing that running therapy had similar efficacy to medication for depression
Which is weird, because a) it's not a very good study and b) seems not to show that at all 1/n
2/n The study is here. The authors describe it as a "partially randomized patient preference design", which is a wildly misleading term. In practice, this is simply a cohort study, where ~90% of the patients self-selected into their preferred treatment sciencedirect.com/science/articl…
3/n This is a big problem, because it means that there are likely confounding factors between the two groups (i.e. who is likely to choose running therapy over meds?). Instead of a useful, randomized trial, this is a very small (n=141) non-randomized paper
The study showed that COVID-19 had, if anything, very few long-term issues for children! As a new father, I find this data very reassuring regarding #LongCovid in kids 1/n
2/n The study is here, it's a retrospective cohort comparing children aged 0-14 who had COVID-19 to a matched control using a database of primary care visits in Italy onlinelibrary.wiley.com/doi/10.1111/ap…
3/ The authors found that there was an increased risk of a range of diagnoses for the kids with COVID-19 after their acute disease, including things like runny noses, anxiety/depression, diarrhoea, etc
This study has recently gone viral, with people saying that it shows that nearly 20% of highly vaccinated people get Long COVID
I don't think it's reasonable to draw these conclusions based on this research. Let's talk about bias 1/n
2/n The study is here. It is a survey of people who tested positive to COVID-19 in Western Australia from July-Aug 2022 medrxiv.org/content/10.110…
3/n This immediately gives us our first source of bias
We KNOW that most cases of COVID-19 were missed at this point in the pandemic, so we're only getting the sample of those people who were sick enough to go and get tested