NurseKim_ATL said:The gap between trial results and real-world results is consistent and it is not fraud.
Pushing back on NurseKim_ATL 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.
I would rather be corrected than agreed with, if it comes to it.
Dr.CardioMD 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…
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.
sarah.morrison said:I would add the less popular caveat: these trial populations under-represented several groups, older adults and the highest BMI categories among them.
Forest plot interpretation for the the trial evidence meta-analysis: when reading the pooled estimate, pay attention to:
- Point estimate (HR/RR/OR) — center of the diamond
- Confidence interval width — precision of the estimate
- I² statistic — heterogeneity across studies
- Individual study weights — are results driven by one large trial?
- Prediction interval — range of plausible true effects in future settings
The the trial evidence meta-analysis shows a pooled RR of 0.75 (95% CI 0.68-0.85), I²=33%. This is a robust and consistent effect.
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View ResultsA narrower follow-up, since the general answer is now clear:
Was that from a primary source or from a summary of one?
Closing the loop on my own question.
Update — my curve sits below the published mean and the explanation is that the trial arm had support I do not have. That was reassuring rather than otherwise.