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
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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 inpic.twitter.com/Wc8I7Qmf4d
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10/n The significance of the model entirely disappears. Now ivermectin shows no benefit for mortality at all, even in the overall analysispic.twitter.com/QH8tdyXi7U
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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 ivermectinpic.twitter.com/2VZvGDOetB
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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
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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"

pic.twitter.com/mWV8BvccnJ
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Replying to @K_Sheldrick @GidMK
Even as I don't like the idea of diagnosing COVID with a CT scan, the table shows the division between those that were diagnosed covid by CT scan or by Positive PCR, it doesn't say that those diagnosed with CT have a Negative PCR.
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Replying to @ciudadano_py @GidMK
I'm not sure you follow the point being made. Regardless of whether you agree with the diagnosis by CT or not, the chance of having so many more PCR negative in control than ivermectin arms has less than a 1 in 1,000 chance of occurring by luck. Suggests not randomly assigned.
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Also worth noting that there are numerous such differences between the arms. There's a big difference between RR, age, % severe, and just look at the BP of arm 4!
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