Dr.AddMedPHL said:Read four things before the headline number.
Pushing back on Dr.AddMedPHL here. I would add the less popular caveat: these trial populations under-represented several groups, older adults and the highest BMI categories among them. The results probably generalise, and "probably" should be stated as an assumption rather than dropped.
hannah_MT said:I keep finding that the number in the press summary and the number in the paper are not the same number, and the difference is always in the same…
hannah_MT said:...regarding the trial evidence...
I think this is an underappreciated point. To expand on it with some data:
A recent meta-analysis of 12 RCTs (n=8,400) found that the trial evidence was associated with a significant effect size across diverse patient populations[1].
The NNT was 8, which is comparable to statins for secondary prevention. That's a strong clinical argument for this approach.
LarryQC_SD said:I would add the less popular caveat: these trial populations under-represented several groups, older adults and the highest BMI categories among them.
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.
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View ResultsOne thing that is still open after josh_phd_bmore’s answer:
How would you tell the difference between that and the alternative explanation?
Reporting back.
Follow-up: I read the paper rather than the summary and the qualifier I was missing was in the second paragraph of the results.