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16 Jul, 27 tweets, 8 min read
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
4/n But @JackMLawrence noticed something weirder when he read the paper

It appears that pretty much the entire introduction is plagiarized

That's...not great

Left is Elgazzar et al, right another study published 3 months before
5/n But that's just the start of this wild story

You see, the authors had shared their data online

They locked it, but our tenacious hero @JackMLawrence figured out the password - 1234
6/n To cut a very long story short, the file uploaded by the authors as the data for the study is filled with errors, and certainly not data collected from real patients in a real study

@sTeamTraen with the in-depth analysis here:
steamtraen.blogspot.com/2021/07/Some-p…
7/n One tiny example of the issues with the data - most of the patients in one of the control groups are clones of each other, with very minor changes

This is a very common feature of scientific fraud
8/n Moreover, the study is meant to have started on the 8th of June according to the authors

Of the people who died, fully 1/3 had been hospitalized and died BEFORE this date

That's...bad
9/n You can actually download the file yourself to check, although the website is a morass of malware so it's a bit dicey
10/n So is this the data file used in this study?

Well...we don't know. Maybe
11/n It's certainly what the authors uploaded, and in many ways matches their results, but it is also inconsistent in some other ways that make the whole thing extraordinarily confusing
12/n Problem is, even if this ISN'T the data that the authors actually collected (assuming they collected any data at all), there are still issues in the study

For example, they used the wrong statistical tests several times
13/n Their statistical methodology is...frankly really bizarre

They had SPSS but looked up p-values by hand in paper tables? Wild
14/n And let's not forget, pretty much the entire introduction WAS PLAGIARIZED

Not good. Not good at all
14.5/n Is the study fraud?

We may never know. It is really, really hard to prove anything in cases like these, and unless the authors go public we might never know what actually happened beyond the issues that we've seen so far
15/n What does this mean more broadly?

Well, here's where the story gets both more interesting and somewhat darker

This is currently THE BIGGEST RCT of ivermectin. It shows a mortality benefit of 90%

That's huge
16/n Being such a big study, it has been included in multiple meta-analyses. With such a vast benefit, it has a very large influence on the meta-analytic results
17/n Indeed, removing ~just this single piece of research~ from recent meta-analyses either mostly or entirely overturns the positive results that they found for ivermectin 👀👀👀
18/n Worse still, the paper has been viewed over 130,000 times, and the comments are filled with medical doctors praising the authors and recommending ivermectin based on their results
19/n In other words, this single study has drive ivermectin as a treatment to thousands, perhaps millions, of people

And it is either so flawed as to be totally unreliable, or potentially outright fraud
20/n But the story doesn't stop there. Remember, several meta-analyses have included this study in their results. Why would they do that?

Well, they thought it was at LOW risk of bias (i.e. high-quality)
21/n The pretty obvious issue we now have is that this study is clearly filled with problems, yet it's been included in meta-analyses that considered it to be a piece of top-quality research
22/n At the absolute minimum, studies including this paper should revise their main analysis to exclude it until we have a reasonable explanation for all these issues
23/n But we're left with the depressing realization that somehow EVERYONE MISSED THIS

I reviewed the study. While I noted concerns with the way it was reported, I never even checked to see if it was fraud
24/n How can it be that a study this problematic was used as evidence to treat 1,000s of people since November 2020, and no one noticed? No one cared?
25/n Anyway, the TL:DR is that the largest study to date of ivermectin for COVID-19, which found a HUGE benefit for the drug, has just been retracted amid very serious concerns about plagiarism and fraud

This will echo in the scientific community for years to come
26/n While it is still certainly possible that ivermectin works for COVID-19, this has made a huge dent in that possibility. I await the large studies that are currently being conducted, because we really have no good evidence to rely on

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More from @GidMK

17 Jul
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 Image
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
Read 21 tweets
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
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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