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ForumsPublic SquareGLP-1 and inflammatory markers — need advice Page 2

GLP-1 and inflammatory markers — need advice

labquiet_amy Sat, Jul 12, 2025 at 7:30 AM 42 replies 1,888 viewsPage 2 of 9
NurseKim_ATL
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Jul 12, 2025 at 12:28 PM#6
LibrarianMeg said:
The gap between trial results and real-world results is consistent and it is not fraud.

This is where I part company with the consensus forming above. 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: Jul 12, 2025 at 5:28 PM
11 6denise_HTX, raj_cambridge, ingrid_STO and 8 others
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kate.chem
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Jul 12, 2025 at 2:25 PM#7
labquiet_amy 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…

Forest plot interpretation for the the trial evidence meta-analysis: when reading the pooled estimate, pay attention to:

  1. Point estimate (HR/RR/OR) — center of the diamond
  2. Confidence interval width — precision of the estimate
  3. I² statistic — heterogeneity across studies
  4. Individual study weights — are results driven by one large trial?
  5. Prediction interval — range of plausible true effects in future settings

The the trial evidence meta-analysis shows a pooled RR of 0.72 (95% CI 0.65-0.82), I²=30%. This is a robust and consistent effect.

Last edited: Jul 12, 2025 at 5:25 PM
10 5VanRx_Mike, steve_okc, dave_SLC and 7 others
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Dr.PathRoch
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Jul 12, 2025 at 4:22 PM#8
NurseKim_ATL said:
I would add the less popular caveat: these trial populations under-represented several groups, older adults and the highest BMI categories among them.

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.
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AussieAnna
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Jul 12, 2025 at 6:19 PM#9

One thing that is still open after JenPlateau’s answer:

Was that from a primary source or from a summary of one?

8 3bri_stats, pete_manc_UK, anna.melb_AU and 5 others
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labquiet_amy
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Jul 13, 2025 at 3:39 AM#10

OP back with an update, since a thread like this is useless without one.

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.

Last edited: Jul 13, 2025 at 5:39 AM
18 18pete_manc_UK, anna.melb_AU, mark_tokyo and 15 others
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