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ForumsPublic SquareStarted this morning and already overthinking everything — my results so far Page 2

Started this morning and already overthinking everything — my results so far

hans_munich Wed, Sep 11, 2024 at 11:16 PM 56 replies 2,355 viewsPage 2 of 12
PharmD_Rodriguez
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Sep 12, 2024 at 12:36 AM#6
PeptideChemSF said:
The gap between trial results and real-world results is consistent and it is not fraud.

Pushing back on PeptideChemSF 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.

Last edited: Sep 12, 2024 at 5:36 AM
14 17paul_denver, TinaHashiRN, robert_kc and 11 others
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LabKate
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Sep 12, 2024 at 1:07 AM#7
hans_munich 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 18,000 GLP-1 users vs matched controls showed reduced MI incidence (HR 0.78) over 4 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: Sep 12, 2024 at 4:07 AM
15 18laura_annarbor, JenMemphis, pat_auckland and 12 others
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Dr.GutHealth
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Sep 12, 2024 at 1:38 AM#8
PharmD_Rodriguez 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 19jennifer_SEA, tyler_CSCS, VanRx_Mike and 13 others
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KarenAZ_mom
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Sep 12, 2024 at 2:09 AM#9

Following on from patPC_UT — and this may be the naive question:

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

Last edited: Sep 12, 2024 at 7:09 AM
17 20LibrarianMeg, bri_stats, pete_manc_UK and 14 others
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hans_munich
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Sep 12, 2024 at 4:36 AM#10

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.

Last edited: Sep 12, 2024 at 10:36 AM
35 10emma_london, tammy_FL, Dr.LipidDallas and 32 others
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