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ForumsPublic SquareGLP-1 and inflammatory markers — CRP, IL-6, TNF-α reduction data

GLP-1 and inflammatory markers — CRP, IL-6, TNF-α reduction data

Dr.MetabolicMD Sat, May 9, 2026 at 4:24 AM 16 replies 510 viewsPage 1 of 4
Dr.MetabolicMD
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May 9, 2026 at 4:24 AM#1

Read the primary source rather than the write-up and the two do not agree, so here is what is actually in it.

The gap between trial results and real-world results is consistent and it is not fraud. Trial participants get titration by protocol, scheduled contact, free drug and dietetic support; removing that infrastructure costs a few percentage points every time it has been measured. When your own curve sits below the published mean, that is the likeliest explanation before anything about you or your material.

Where I think it is weakest: the subgroup findings are the part I trust least — with enough subgroups something is always significant, and these were not all pre-registered.

What I am after is how to read a result like this without either dismissing it or over-reading it, since the summaries all read like press releases. If the honest answer is that nobody knows, that is a useful answer and I would rather have it.

Note on sourcing:
Figures above are from the primary publication rather than the press summary. If a number here disagrees with one you have, post yours and we will work out which of us is reading a secondary source.
33 3SleepDoc_PDX, RegAffairsDC, BiostatsBrad and 30 others
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amsterdam_pete
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May 9, 2026 at 5:02 AM#2
Dr.MetabolicMD said:
The gap between trial results and real-world results is consistent and it is not fraud.

That is correct as far as it goes, and here is where it stops going. Read four things before the headline number. The population, because trial populations are selected and supported in ways that real cohorts are not. The comparator, because "better than placebo" and "better than the current standard" are different claims and get reported identically. The primary endpoint as pre-registered, because a secondary endpoint promoted after the fact is a hypothesis rather than a finding. And the completion rate, because a large effect in the half of participants who finished is a different result from a large effect in everybody enrolled.

32 2ZaraB_AL, JakeSmashed95, NauseaFreeNow and 29 others
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LabKate
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May 9, 2026 at 5:40 AM#3
Dr.MetabolicMD said:
The gap between trial results and real-world results is consistent and it is not fraud.

I read this differently from Dr.MetabolicMD, on substance rather than tone. 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.

I would rather be corrected than agreed with, if it comes to it.

31 1Dr.SleepRoch, laura_annarbor, JenMemphis and 28 others
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Dr.SleepRoch
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May 9, 2026 at 6:18 AM#4

This one has a reasonably settled answer, so here it is. Relative and absolute effects need reading together. A 20% relative reduction on a high baseline risk is a large absolute benefit; the same relative figure on a low baseline risk is a small one, and press summaries almost always quote the relative number because it is bigger.

30 0tony_orlando, Dr.NephBHM_UK, kim_atl_prep and 27 others
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AttorneyGrant
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May 9, 2026 at 9:48 AM#5
amsterdam_pete said:
Read four things before the headline number.

This is my experience too, for whatever a second data point is worth.

29 24Dr.GastroMayo, JakeBK_lifts, DerekSJ_a1c and 26 others
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