Has anyone dealt with adolescent obesity: aap guidelines and glp-1 use in minors?

CarlaRPh_TPA said:

The gap between trial results and real-world results is consistent and it is not fraud.

Filing a mild objection. Mild because I might be wrong; an objection because nobody has addressed the case that does not fit. 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.

josh_phd_bmore said:

My own curve sits about four points below the published mean and I spent two months assuming that meant something was wrong with me or with my…

Propensity score matching studies and the trial evidence: when RCTs aren't available for a specific question, propensity score-matched observational studies can provide useful evidence.

A recent PSM study of 25,000 GLP-1 users vs matched controls showed reduced all-cause mortality (HR 0.81) over 5 years of follow-up[1].

These results complement the RCT data and suggest the benefits translate to real-world populations.

LibrarianMeg 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.

A narrower follow-up, since the general answer is now clear:

What would you measure differently if you were starting again?

Closing the loop on my own question.

Follow-up: I read the paper rather than the summary and the qualifier I was missing was in the second paragraph of the results.