10/n For example, the Elgazzar study. Low or uncertain risk for every element To me, this study is at a pretty high risk of bias!pic.twitter.com/9vfUArgcfE
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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10/n For example, the Elgazzar study. Low or uncertain risk for every element To me, this study is at a pretty high risk of bias!pic.twitter.com/9vfUArgcfE
11/n Randomization sequence generation is rated at low risk, but here's the information we have on randomization. It contradicts the protocol, which isn't great (they should've had 6 groups, not 2)pic.twitter.com/6C1BKGFvwd
It is'nt about the same thing. There are 2 randomized TREATMENT groups (IVM+ sequential HCQ and HCQ) but there are 6 groups when you separate PEP, mild and severe. Patients aren't randomized between PEP, mild and severe. 1/n
The limit to 100 was set for each group. That means that it isn't only a priori subgroups, patients are recruited with a limit set for each of these groups. You have at the end 6 groups to compare 1 vs 1, but when you randomize, you only have only 2 "choices". IVM or not IVM 2/n
And at the end, you have mild IVM vs mild non IVM, PEP IVM vs PEP non IVM, and severe IVM vs severe non IVM. You can't randomize the fact of being severe or not. You recruit PEP, Mild, and Severe, and you only randomize for the drug. 3/3
Yup. What an incompetent know-it-all. Not nerdy at all. @GidMK’s *continuing* to ignore the info at https://clinicaltrials.gov/ct2/show/NCT04668469 … is inexcusable.
This tweet aged like milk.
Clearly, the argument given against Elgazzar at this time were irrelevant. But since I accessed to the raw data, and it is clearly fake.
Elgazzar claims the raw data that is being alleged to be his, is not his data, so yes, it's fake, but whose fault that is is TBD.
Did he provide more detailed explanations ? The raw data was linked directly in the version 4 of the article on research square.
He has not said anything other than it is not his data as far as I'm aware, which of course begs the question of why you'd upload fake data that nevertheless matches your study very closely and call it your data
Well, if the data was provided externally, it still could have been possible, but since it was linked in the article, this seems particularly unlikely.
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