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How comparable are ecnoglutide and retatrutide on the evidence available?

Asked 22 Dec 2025Modified 3 months agoViewed 17k times
17

Conditions: ecnoglutide · retatrutide.

I would like the axes of comparison first and the recommendation second.

I have tried the first option and it works; the question is whether the second is better rather than merely different.

What is the actual trade-off, and does it matter at the scale I am working at?

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RP
askedretest_please13k2822 Dec 2025
5Confirming from the other direction: I did the wrong thing and got exactly the predicted outcome. – Dr_Bram_Verhoeven 5 months ago
4Is there a reason to prefer the second method over the first, other than cost? – Dr_Elias_Weiss 3 months ago
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5 Answers

Accepted answer first, then by votes
28

Accepted answer

The relevant detail is that this is a question about what the trial was designed to answer, and the honest response is that it was not designed to answer this.

A network meta-analysis can rank agents that were never compared directly, but only under a transitivity assumption — that the trials being linked are similar enough in population, duration and endpoint definition for the indirect comparison to hold. In this field that assumption is often visibly violated, which is why indirect rankings should be read as hypotheses.

HbA1c is a weighted average, not a flat one: roughly half the signal comes from the most recent month. That is why a value drawn six weeks after a change already reflects most of the effect, and why a value drawn during rapid haematological turnover reflects something other than glycaemia.

SURMOUNT-4 randomised participants after an open-label lead-in to continued tirzepatide or placebo, and the withdrawal arm regained a substantial proportion of the lost weight over the following year[1].

Worth being explicit that this is interpretation of published data and not medical advice. Laboratory results belong in a conversation with whoever ordered them.

If the trend across three draws is flat, the difference between draws one and two was noise. Most of what people react to is noise.

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TA
answered · acceptedtess_amankwah48k3824 Mar 2026
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32

Read the estimand before the effect size. Almost every apparent contradiction between two published figures from the same trial resolves once you notice that one is a trial-product estimand and the other is a treatment-policy estimand.

A fasting lipid panel drawn during rapid weight loss reads oddly for a mechanical reason: mobilised adipose tissue delivers free fatty acids to the liver, and hepatic triglyceride export rises. Triglycerides can transiently increase while the person is doing exactly the right thing. Draw the panel when weight has been stable for a few weeks if you want an interpretable number.

Absolute risk reduction, worked: if the control-arm event rate is 8.0 per cent over the follow-up period and the hazard ratio is 0.80, the treated rate is approximately 6.4 per cent, the absolute risk reduction is 1.6 percentage points, and the number needed to treat is 1 ÷ 0.016 ≈ 63 over that period. A 20 per cent relative reduction and a number needed to treat of 63 are the same finding stated two ways, and only one of them sounds impressive.

I would resist reading a subgroup finding as a result. Subgroups in these trials were not powered, and a striking subgroup in a large trial is the expected consequence of multiplicity.

Read the confidence interval, read the estimand, and compute the absolute effect yourself. It takes two minutes and it changes how the result feels.

edited 16 Apr 2026 by Dr_Bram_Verhoeven — added the method parameters

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DV
answeredDr_Bram_Verhoeven85k24815 Apr 2026
6Two of us worked through this independently and arrived here, so it is at least reproducible. – kwn_analytical 4 months ago
7Worth adding that the method section is where the answer usually is. – ruaidhri_o_shea 6 months ago
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21

The hazard ratio is the relative effect. What changes decisions is the absolute effect, and converting between them requires the event rate in the control arm, which is usually in the same table and rarely in the abstract.

The early fall in estimated glomerular filtration rate on treatment is haemodynamic rather than structural. Reduced intraglomerular pressure lowers the filtration rate acutely and preserves the glomerulus chronically — the same pattern seen with renin-angiotensin blockade and with SGLT2 inhibition. A dip of a few millilitres per minute in the first weeks, followed by a shallower long-term slope, is the desired trajectory, not a warning sign.

Creatinine is a muscle-derived metabolite, so a substantial loss of lean mass lowers serum creatinine and mathematically raises estimated GFR without anything happening to the kidney. If you have lost twenty kilograms, your creatinine-based eGFR is flattering you. Cystatin C is not muscle-dependent and is the measure to use when the two disagree.

Convert everything to an absolute effect before you compare two interventions. Relative effects are not comparable across different baseline risks.

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JH
answeredjana_horakova15k2728 Dec 2025
8Related: the same reasoning applies to the counter-ion question. – Dr_Tomas_Kral 7 months ago
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12

Worth being precise here: start with the population. The inclusion criteria of the trial determine what its result can be extrapolated to, and the extrapolation people want is usually to a population the trial excluded.

Liver enzymes are a poor surrogate for hepatic histology in both directions: substantial steatohepatitis with normal transaminases is common, and modest enzyme elevation with minimal fibrosis is common. If the question is fibrosis, the answer comes from a non-invasive score such as FIB-4 or a stiffness measurement, not from ALT.

The papers are readable. Read the paper rather than the summary of the paper, especially where the summary is enthusiastic.

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TG
answeredtandem_gradient85k2484 Apr 2026
Do you have a reference for the last claim? Not disputing it, just want to read it. – Dr_Ilse_Vandenberg 7 months ago
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10

The confidence interval is the informative part. A point estimate with an interval spanning no effect is a different object from the same point estimate with a tight interval, and the abstract presents them identically.

Estimated average glucose from HbA1c: eAG in mg/dL = 28.7 × A1c − 46.7, or in mmol/L, 1.59 × A1c − 2.59. An A1c of 6.5 per cent is therefore about 140 mg/dL or 7.8 mmol/L. The relationship is a population regression, so an individual can sit well off the line.

SUSTAIN 6 was the original cardiovascular outcomes trial for semaglutide in type 2 diabetes and is the reference point for the class effect that SELECT later extended to a non-diabetic population[1].

None of this replaces a clinician who can see the whole picture, and the whole picture is usually where the answer is.

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IB
answeredilaria_bertone43k3830 Jan 2026
2Thank you — the worked example is what makes this usable. – e_dziedzic 6 months ago
Related: the same reasoning applies to the counter-ion question. – ilaria_bertone 4 months ago
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Your answer

Ask PeptideStack is a static archive. Posting is closed, but the norms are worth stating: answer the question that was asked, show your working, cite the trial or the certificate, and say plainly where the evidence runs out.

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