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The primary finding is that OECD countries with cases of the mystery hepatitis had higher omicron case counts than those with no cases of hepatitis. The problem is the Y axis. For omicron they used total counts rather than population rates! 2/10
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The fatal flaw is that countries with very large populations are more likely to have had a case of hepatitis than small countries just due to size, AND will have had more covid, also just due to size. Comparing total counts in this case is... incredibly dumb? 3/10
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For example the chance of one of these hepatitis cases popping up in the USA was much higher than Luxembourg because it's literally 500 times the size. Luxembourg will also have had about 1/500th as much covid it falsely looks like a strong association. 4/10
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This method would also show a strong association between the number of children with brainstem cancer in a country and the number of shoes sold per year in that country. Because totals of most things are larger in larger countries. That's why we use rates. 5/10
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So what happens when we compare countries with the hepatitis to those without using the RATE of covid rather than totals? The effect disappears! 22 cases per 100 people in countries with hepatitis vs 19 cases per 100 people in people without, p =0.4. 6/10
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Why the journal allowed them to completely ignore the correct number (rate) and then just keep using the totals unadjusted for population and publish this obviously spurious association is a matter of deep mystery to me. 7/10
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Side note: even using rates wouldn't make this a GOOD study, things like ascertainment bias from testing for both diseases being confounded by economic means would remain completely uncontrolled in this design. 8/10
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In short, don't use total counts when comparing comparing countries that differ in size by many hundreds of times, because everything will correlate to everything regardless of whether there is any actual link. Use rates. 9/10
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This paper should be retracted, and serious questions should be asked about how this was accepted for publication. 10/10
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Replying to
☹️ Not exactly the type of research I was expecting, and didn't realize the paper was already out as even the article only says "soon". Taking advantage of the rushed nature of it, I suppose.
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Replying to
最近、IJIDに掲載された論文で、オミクロンの「人口負荷」が高いことが謎の小児肝炎患者と関連していると虚偽の主張をしているのをご覧になった方もいらっしゃると思います。 本当にひどい「研究」であり、掲載されるべきではなかったと思います。
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Replying to
They know it is insignificant when they use population rates. They say "stat significance is not essential."
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Hiroshi Nishiura
@nishiurah
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Replying to @_akiraendo
haha, reads more fundamental problem than the fact we cannot distinguish between a and b from ecological correlation. the observed tendency did not completely go away even when divided by population, although not significant. but anyway I shall think more for additional analysis
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