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ForumsPublic SquarePet photos thread v2 — what worked for you? Page 2

Pet photos thread v2 — what worked for you?

Dr.MetabolicMD Sun, Dec 29, 2024 at 2:39 AM 15 replies 1,818 viewsPage 2 of 3
pete_manc_UK
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Dec 30, 2024 at 4:19 AM#6
labquiet_amy 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.

14 17TrialNerd_Beth, HPLC_Greg, LibrarianMeg and 11 others
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PharmacoVig_BOS
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Boston, MA
Dec 30, 2024 at 2:33 PM#7
Dr.MetabolicMD 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.

References:
[1] Registry-based cohort study, pre-print 2024.
Last edited: Dec 30, 2024 at 5:33 PM
15 18Dr.GutHealth, amsterdam_pete, LondonLisa and 12 others
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NurseKim_ATL
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Dec 31, 2024 at 12:47 AM#8
pete_manc_UK 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.

16 19ingrid_STO, pete_nash, hank_denver and 13 others
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JenPlateau
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Dec 31, 2024 at 11:00 AM#9

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

Did your prescriber agree with that reading, and if not what was their objection?

17 20FitDadDave, RunnerRach, TrialNerd_Beth and 14 others
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Dr.MetabolicMD
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Jan 2, 2025 at 12:03 PM#10

Reporting back.

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.

35 10GenomicsKate, Dr.ObesityMed, HealthEcon_DC and 32 others
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