VanRx_Mike said:Relative and absolute effects need reading together.
Thank you — that is the clearest version of this I have read, and I have read a lot of them. Adding it to my notes with a link back to this thread.
Clinical perspective, offered as context rather than as advice.
Bayesian meta-analysis perspective on the trial evidence: traditional frequentist meta-analyses report point estimates and confidence intervals. Bayesian approaches provide probability distributions that are more intuitive for clinical decision-making.
For example: "There is a 98.5% probability that semaglutide 2.4mg produces >10% weight loss vs placebo" is more actionable than "RR 3.4, 95% CI 2.8-4.1, p<0.001."
The the trial evidence evidence is strong under both frameworks, but Bayesian analysis better communicates the degree of certainty for individual patient counseling.
Dr.ObesityMed said:Forest plot interpretation for the the trial evidence meta-analysis: when reading the pooled estimate, pay attention to: Point estimate (HR/RR/OR) —…
Pushing back on Dr.ObesityMed here. This treats a plausible mechanism as a demonstrated one. Plausible is where you start looking, not where you stop.
Ask again with the specifics and you will get a better answer than this one.
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View ResultsOne concrete data point for the thread. Keep the original post as written when you update it, and add the correction underneath. An edited-away mistake is invisible to the next person who makes it.
Moderator note: two posts asking for a source have been merged into one. Please search the thread before asking again. Tagging this one for the weekly digest.