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17 Jul, 22 tweets, 6 min read
So, @Covid19Critical does not agree with me, and says that the conclusions of meta-analyses do not change at all once excluding the retracted ivermectin study

Let's go over exactly why I said that removing the study makes a huge difference 1/n
2/n I went over this in my article, which you can find here, but I'll repeat the precise analysis I've done on twitter, because I think it's a fair question


To be clear - I'm not perfect, and not everything I say is right!
3/n Judge for yourself whether it is fair to argue that removing Elgazzar largely eliminates the benefit for mortality here, the headline finding and the primary analysis of the paper
4/n So, here's the primary results from the Bryant et al meta-analysis of ivermectin that concluded "Moderate-certainty evidence finds that large reductions in COVID-19 deaths are possible
using ivermectin"
5/n Step 1: replicate the findings

While there are very minor differences due to the statistical software used, this is the same Dersimonian-Laird IV model run using the metan command in Stata 15
6/n The benefit from this model is huge, very statistically significant, and you can see why the authors made such strong recommendations. There is a significant benefit for mild disease, verging on significance for severe, and overall 60% (!) reduction in death
7/n Step 2: remove only Elgazzar

Immediately, the difference is notable. The primary benefit goes from 60% to 44%, is only marginally statistically significant, and there's no benefit in either Mild or Severe subgroups
8/n Ok, so that's an issue. What were extremely strong results are now statistically very weak and not beneficial in the major subgroups

But there's a bigger issue here
9/n Step 3: add in new research

This study was published shortly after Bryant et al came out. It would certainly have been included in the analysis if it was already out (no fault to the authors of course) so let's add it in
10/n The significance of the model entirely disappears. Now ivermectin shows no benefit for mortality at all, even in the overall analysis
11/n But wait, there's more! If you go back to that graph excluding Elgazzar, there's something odd. You see only one study finding a significant benefit for ivermectin
12/n In fact, it seems like the entire mortality benefit for ivermectin, once Elgazzar is excluded, comes down to this one study: Niaee et al
13/n If you look at the Niaee et al preprint, there are quite a number of issues. In fact, @K_Sheldrick noted that the results are worrying, and that the study "should not be included in meta-analyses" 👀👀👀
14/n So, Step 4: Sensitivity Analysis

Rerunning the original model excluding both Elgazzar and Niaee gives you this result

Absolutely no benefit for ivermectin on mortality. CIs include both large benefit and large detriment
15/n Worth noting that removing these two studies from the analysis takes the I squared statistic down to 0% - in other words, the remaining studies are all statistically consistent with each other
16/n What does this all mean?

In short - once Elgazzar is excluded, the results are incredibly uncertain, and any potential benefit rests entirely on the Niaee study, which at least one expert has argued should never be included in meta-analyses
17/n Moreover, because the result is so marginally significant, including a ~single~ new piece of evidence also results in the benefit disappearing even if you still include Niaee in the model
18/n Therefore, in my opinion, this means that excluding Elgazzar removes any certainty and a lot of significance from this analysis
19/n In other words the conclusion - that moderate-certainty evidence found large reductions in death using ivermectin - is entirely reversed. The certainty is gone, and the reduction in death is likely to be very substantially smaller
20/n Indeed, since the benefit now appears to rest entirely on one very worrisome trial, it is hard to see how we can justify any argument other than that we do not have sufficient information to make a conclusion about ivermectin at this point
21/n I remain optimistic that ivermectin will indeed prove to be a "wonder drug" as Elgazzar claimed, but I simply don't think the evidence to date supports that assertion 🤷‍♂️
22/n With large randomized trials ongoing, we can only wait for them to finish before making a strong judgement as to whether ivermectin is beneficial

It may yet turn out to be fantastic. We simply do not know

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More from @GidMK

16 Jul
This is not unexpected. If the authors of the retracted ivermectin study claim that the data was not really the data for their paper, they now need to explain:

1. Why did they upload fake data that quite clearly matched their results?
2. The plagiarism. Lengthy, extensive plagiarism

3. The implausible/impossible values remaining in the text

4. The incorrect and bizarre statistical tests

5. Why it is only NOW that we're told the data us fake. Was it a joke? A prank???
5. (cont.) Seriously, how do the authors explain the fact that they uploaded a dataset, said it was the data of their study, and now claim it wasn't? How do we reconcile that with what they claim now?
Read 4 tweets
16 Jul
So, one of the biggest studies to date on ivermectin for COVID-19 has issues significant enough that, if not fraud, are so serious that it invalidates the study without further explanation

I promised a thread

Here we go 1/n
2/n Firstly, none of this would've been possible without @JackMLawrence, who uncovered this in the first place and investigated it himself well before any of us gronks got on board

Read his piece here: grftr.news/why-was-a-majo…
3/n The basic story is pretty astonishing. I've previously written about this study, Elgazzar et al, and why there are some indications that it's low-quality and potentially very unreliable
Read 27 tweets
10 Jul
Real-life scientist: hugely specialised, often to the point where even side-fields of the same broad discipline can't parse each other's data

TV scientist: "You need someone to analyse DNA? Good that I'm an astrophysicist, just give me a moment to finish hacking into the CIA"
Real-life scientist: "Dammit, I spilled coffee on my keyboard, my work is ruined!"

TV scientist: "Amazing, I spilled coffee on my keyboard and DISCOVERED A NEW ELEMENT (Caffenium)!
Real-life scientist: "I spent a whole day pipetting 🙁"

TV scientist: "I have never seen a pipette, here are endless perfect samples. SCIENCE"
Read 4 tweets
7 Jul
Another day, another systematic review and meta-analysis of the same ivermectin research published

This one is positive. I don't think it should be 1/n
2/n Study is here, and generally it looks fine - search strategy was decent, they followed most guidelines (I.e. PRISMA), and overall the methodology was pretty reasonable for the stated purpose
academic.oup.com/ofid/advance-a…
3/n In fact, it is amazingly similar to the other systematic review that I looked at recently, down to THE SAME DETAILS THAT ARE WEIRD

This whole thing feels like some bizarre deja-vu
Read 18 tweets
27 Jun
This paper was recently published, arguing that vaccines cause as much death as they prevent and so we should stop vaccinating people

I rarely say this, but it is truly awful and should be retracted as soon as possible 1/n
2/n The paper is here. It is truly woeful, but worth reading just to see how easy it can be to make a plausible-sounding argument if you are very free with your methodology mdpi.com/2076-393X/9/7/…
3/n The authors did two things - they calculated a Number Needed To Vaccinate (NNTV) from a propensity-matched cohort study done in Israel. They also calculated the number of deaths reported through the Dutch vaccine reporting system
Read 27 tweets
24 Jun
HOW TO REDUCE YOUR COFFEE INTAKE FOR A BETTER LIFE

STEP 1: NO

☕️☕️☕️☕️☕️
If anyone's wondering, while there are few/no health benefits directly attributable to drinking coffee, there is also consistent evidence that even quite high intakes are unlikely to be harmful to your health
(Obviously this is not a blanket endorsement, if your doctor tells you to drink less coffee you probably should. If your naturopath tells you to drink less coffee, on the other hand, you should stop seeing a naturopath)
Read 4 tweets

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