24/n None of this should matter, because the trial found NO BENEFIT FOR IVERMECTIN, but this has been reported and included into ivmmeta dot com as a hugely beneficial resultpic.twitter.com/mjGBDnpVW5
Epidemiologist. Writer (Guardian, Observer etc). "Well known research trouble-maker". PhDing at @UoW Host of @senscipod Email gidmk.healthnerd@gmail.com he/him
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24/n None of this should matter, because the trial found NO BENEFIT FOR IVERMECTIN, but this has been reported and included into ivmmeta dot com as a hugely beneficial resultpic.twitter.com/mjGBDnpVW5
25/n This explains the bias I noted above - it's not publication bias, it's that the authors appear to have generally chosen whichever result makes ivermectin look better to include in their model Not really scientific, that!
26/n But the fun doesn't stop there. The inclusion criteria for this website is any study published on ivermectin, which has led to what I can only call total junk science being lumped in with decent studies
27/n Here's a study with impossible percentages in table 1 that used a comparator of 12 completely random patients as their control. They don't even say if these 12 people had COVID-19 Included in ivmmeta, no questions askedpic.twitter.com/3AlGdGcPnW
Health Nerd Retweeted Health Nerd
28/n ivmmeta includes all of the studies I've been tweeting about recently including this one https://twitter.com/GidMK/status/1421368493975359490?s=20 … And this one https://twitter.com/GidMK/status/1420582871031373824?s=20 … And this onehttps://twitter.com/GidMK/status/1419557546872819719?s=20 …
Health Nerd added,
29/n I've now read through about 3/4 of all the studies on the website, and I would say at least 1/2 of them are so low-quality that the figures they report are basically meaningless
30/n Moreover, sometimes the website just does stuff that is wildly strange Here's a study with no placebo control. They appear to have calculated a relative risk of...whether the patients in this hospital got treated with ivermectin? WHYpic.twitter.com/qH9PRewSPS
31/n I could keep going - there's just so much there. Even just the basic concept of combining literally any number from any study and saying that it makes the model MORE ROBUST is so intrinsically flawed So. Many. Mistakes
32/n But this thread is already too long, so to sum up - the website looks flashy - the methodology is totally broken - I would call this pretty pseudoscientific; all the trappings of science, with none of the rigor
Its very difficult for lay people to decipher who is correct Dr Tess Lawrie to name one seems very sincere and highly qualified why shouldn't we trust her? or Brett Weinstein for that matter? Are they shilling fo big Ivermectin or just mistaken? Can you disclose who pays you?
For this work, no one pays me - I have some grants with the Australian state/federal governments but I do all the COVID-19 stuff in my spare time. And I wouldn't trust any person, instead have a look for yourself and see
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