Being the nerd I am, I decided to rerun the meta analysis on their sample using the metan command in Stata This is a bit quick and dirty, but using a random-effects model with an inverse variance, I get these resultspic.twitter.com/s95D5VYPQ7
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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Being the nerd I am, I decided to rerun the meta analysis on their sample using the metan command in Stata This is a bit quick and dirty, but using a random-effects model with an inverse variance, I get these resultspic.twitter.com/s95D5VYPQ7
For the epi nerds, when I run it with a fixed-effects model my results are the same as those reported in the paper, but my random-effects model CI crosses 0 
But now comes the interesting part - what happens if I take out that single paper that appears to be driving the result? What do you reckon?
Here's the result. The association disappears completely It looks like one study is driving all of these resultspic.twitter.com/hcmXJePEol
So what is this study? Essentially, a simple observational survey of people in Singaporepic.twitter.com/H2qxbLvGJD
Now, I'm not going to critique this piece of research in-depth, but I think it's worth noting that it only surveyed 300 people, of whom 80 had IBS The other studies looked at a total of ~2,500 people
So what we're seeing in the meta-analysis is basically a series of negative results being totally overset by a single positive result That is not great scientifically!pic.twitter.com/xv5a3lDScx
It's a bit like tossing a coin 5 times, getting 4 tails and 1 heads, and concluding that heads is the right answer
This is especially true when you consider that the p-value is 0.064, which means that these results aren't even ~technically~ significant in any model!
Yeh look, their CI didn't cross 0, but if you re-calculate the results using a random-effects model p=0.064. I think it's fair to still report this as technically "significant", but it's not a strong result
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