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Forums›Public Square›Is there a ceiling effect for GLP-1-mediated weight loss? — my results so far › Page 2

Is there a ceiling effect for GLP-1-mediated weight loss? — my results so far

raj_cambridge Mon, Dec 15, 2025 at 6:20 AM 33 replies 1,411 viewsPage 2 of 7
sarah.morrison
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Dec 15, 2025 at 7:55 AM#6
BenResearch_OR said:
Relative and absolute effects need reading together.

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.

35 5josh_phd_bmore, roxy_nash, tony_orlando and 32 others
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dan_philly
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Dec 15, 2025 at 8:32 AM#7
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…
...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 metformin for T2DM prevention. That's a strong clinical argument for this approach.

34 4AmyNC_wife, SkepticalSean, Dr.CardioMD and 31 others
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traveltech_sara
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Dec 15, 2025 at 9:09 AM#8
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.

33 3wanda_boise, NurseAsh_DET, BenResearch_OR and 30 others
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ZaraB_AL
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Dec 15, 2025 at 9:46 AM#9

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

How would you tell the difference between that and the alternative explanation?

32 2TrialTracker_MD, JennaRN, LabKate and 29 others
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raj_cambridge
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Dec 15, 2025 at 12:43 PM#10

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.

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