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ForumsPublic SquareGLP-1 for type 1 diabetes as adjunct — any emerging data? Page 2

GLP-1 for type 1 diabetes as adjunct — any emerging data?

EndoResFellow Tue, Mar 10, 2026 at 7:36 AM 6 replies 759 viewsPage 2 of 2
JennaRN
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Mar 11, 2026 at 12:25 PM#6
RetaRick_CA 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.

30 0Dr.KarenChen, Dr.NateNeph, PharmD_Rodriguez and 27 others
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DoseLogDan
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Mar 11, 2026 at 11:55 PM#7
EndoResFellow 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…
EndoResFellow said:
...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.

Last edited: Mar 12, 2026 at 12:55 AM
29 24Dr.AddMedPHL, newstart_MO, mia_MS2 and 26 others
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julia.endo
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Mar 12, 2026 at 11:26 AM#8
JennaRN said:
I would add the less popular caveat: these trial populations under-represented several groups, older adults and the highest BMI categories among them.

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 0.84 (95% CI 0.67-0.84), I²=42%. This is a robust and consistent effect.

Last edited: Mar 12, 2026 at 5:26 PM
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TomTeleRx
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Mar 12, 2026 at 10:57 PM#9

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

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

Last edited: Mar 12, 2026 at 11:57 PM
27 22HPLC_Greg, LibrarianMeg, bri_stats and 24 others
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EndoResFellow
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Mar 15, 2026 at 6:14 AM#10

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

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

41 14Dr.ObesityLA, NurseKim_ATL, paul_denver and 38 others
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