6/n Then, the author took the proportion of Indian adults estimated to wear glasses from a paper in 2019, to compare this sample topic.twitter.com/tYRVgFZElZ
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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6/n Then, the author took the proportion of Indian adults estimated to wear glasses from a paper in 2019, to compare this sample topic.twitter.com/tYRVgFZElZ
7/n So far so problematic. You can't just compare to an out-of-study population like that, it makes no sense at all. If nothing else, the comparison group is for the whole of India, while this survey was done on a tiny subsample in one hospital 
8/n But then, we get to these calculations, which are described as "the risk of [catching] COVID-19" in glasses wearers vs non-wearers But...that's just incorrectpic.twitter.com/bkyRhQkwT3
9/n What the author has done here is compare the rate of glasses wearing in COVID-19 patients to the rate of glasses wearing in the general populationpic.twitter.com/wwC3Mw2qHQ
10/n What this calculation actually gives you is the likelihood of wearing glasses in COVID-19 vs non-COVID-19 people In other words, what we've got here is the relative risk of glasses-wearing behaviour in COVID-19 patients compared to everyone else
11/n So not only is the study a tiny cross-sectional survey with no appropriate comparator, it's also not calculating what the headlines (and conclusions) say it is at all
12/n What the headlines should say is that COVID-19 patients are 2-3 times less likely to wear glasses than the general population, based on a small, biased survey But I doubt that will get as much attention, because it's a bit meaningless
13/n Here is the conclusion of the study. This is not correct based on the methodology as described:pic.twitter.com/SRaHx0zzZ8
14/n Oh and in case anyone was wondering, according to Altmetric the study has been in 51 news articles so farpic.twitter.com/dSFahe908r
My favorite part? The author literally refused to provide any demographics for that single-hospital sample. Just a placeholder for Table 1! So we can't even see how different this super-selected sample might be from the gen pop. Unreal that this is getting media play.
Yes I love the placeholders (table 2 goes here)
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