12/n Now, firstly, that's the reduction not for "honey" but for "honey + coffee", and it's being compared to a control of "coffee alone" which is definitely not what this analysis is looking atpic.twitter.com/tLFg7h58Dn
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23/n Something else I didn't mention. Every study that I've looked at so far used a per-protocol analysis, which is a huge and worrying issue All of these should be at a high risk of attrition bias, yet none were rated as such. Most of them were green (low risk)pic.twitter.com/Y6sXlnkJHe
24/n I've gotta say, for anyone teaching students about how finicky bias can be in systematic reviews, this is a beautiful example of getting it wrong
25/n Somehow there are more issues here. This study was included in the risk of bias, but even though it assessed honey vs placebo/salbutamonl (and found no effect) it is not in any of the meta-analyses Very weirdpic.twitter.com/8AaMA85ERm
26/n This is even weirder when you consider that the authors report excluding a study for not providing data So they exclude one study and report it, but another just...disappears? So strangepic.twitter.com/oyrp57yP1Y
27/n Another included study using a per-protocol analysis. This was at least rated correctly as at a high risk of biaspic.twitter.com/t2mRMIq539
28/n Another one. This study was rated at low risk of bias for most domains. Here's how they described their randomization and allocation concealment. What do you think?pic.twitter.com/1NM606xcRg
29/n I'll give you a head-start - if they literally don't report ~how~ patients were randomized, by definition this should be unclear or high risk of bias for the domain of random sequence generation
@threader_app compile
Hello Camaleonica, the whole thread from @GidMK is compiled now. Read it here:https://threader.app/thread/1296264707922251776 …
Well this was the wrong signal lifted out of the noise
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