GLP-1 & Incretin Science

Six Trials Out of Forty-Two

JMWritten & reviewed by Jack Muncaster · Founder, UK PeptidesLast reviewed 2026-08-238 cited sources

Ciudin and colleagues published a Bayesian network meta-analysis in Advances in Therapy in 2026 comparing tirzepatide, semaglutide 2.4 mg and liraglutide 3 mg indirectly. Six of 42 identified randomised trials entered the network after a heterogeneity assessment. The study was sponsored by Eli Lilly.

Key facts

Publication
Adv Ther 2026;43(5):2090-2105 (PMID 41820778)
Method
Systematic literature review plus Bayesian network meta-analysis
Trials identified
42
Trials included
6
Included trials
SURMOUNT-1, STEP 1, STEP 5, STEP 8, O'Neil 2018, SCALE Obesity and Prediabetes
Population
Adults without type 2 diabetes, BMI 30+ or 27+ with one complication
Tirzepatide 15 mg vs semaglutide
-6.26% weight (efficacy estimand)
Tirzepatide 15 mg vs liraglutide
-13.95% weight (efficacy estimand)
Sponsor
Eli Lilly

What the analysis set out to do

No trial has randomised all three of tirzepatide, semaglutide and liraglutide against each other, and until recently no trial had randomised tirzepatide against either. A network meta-analysis fills that gap by linking trials through shared comparators: if trial A compares drug 1 with placebo and trial B compares drug 2 with placebo, the two drugs can be compared indirectly through their common placebo arms. This analysis did that for semaglutide 2.4 mg, liraglutide 3 mg and tirzepatide at 5, 10 and 15 mg, in adults without type 2 diabetes with obesity or with overweight plus at least one obesity-related complication.

Six of forty-two, and why that is not automatically a criticism

The systematic review identified 42 randomised controlled trials. Six entered the network: SURMOUNT-1, STEP 1, STEP 5, STEP 8, the O'Neil 2018 dose-ranging trial, and SCALE Obesity and Prediabetes. Excluding 86% of the identified evidence sounds damning and is not, necessarily. An indirect comparison is only valid if the trials being linked are exchangeable - similar populations, similar background therapy, similar outcome definitions. Trials that differ on those dimensions do not add information; they add bias. Discarding them is the correct move. But it is also a decision that determines the answer, made by the analysts, and it is the first thing to interrogate in any network meta-analysis. The paper reports its inclusion reasoning explicitly, which is what allows the interrogation to happen.

What it found

On the efficacy estimand, all three tirzepatide doses produced statistically greater weight reduction than liraglutide, and tirzepatide 10 mg and 15 mg produced statistically greater reduction than semaglutide. Against liraglutide, percentage weight reduction was -12.86% for tirzepatide 10 mg and -13.95% for 15 mg. Against semaglutide 2.4 mg, the corresponding figures were -4.85% and -6.26%. Waist circumference moved in the same direction: -11.79 cm and -12.30 cm against liraglutide, -4.81 cm and -5.32 cm against semaglutide. Safety profiles were reported as generally comparable across all three. Tirzepatide 5 mg was broadly comparable with semaglutide rather than superior to it, which is a detail that tends to disappear in summaries.

The part that makes this analysis unusually interesting

SURMOUNT-5, the open-label head-to-head trial of tirzepatide against semaglutide, was published after this analysis was conducted. The authors say so, and state their reason for not adding it: the maximum-tolerated-dose design meant the response could not be attributed to a specific dose, so it was not translatable to the fixed-dose structure of their network. That makes the comparison that follows genuinely independent. SURMOUNT-5 randomised 751 adults for 72 weeks and reported -20.2% with tirzepatide against -13.7% with semaglutide - a difference of 6.5 percentage points. The network meta-analysis, using no head-to-head data at all, estimated -6.26% for tirzepatide 15 mg against semaglutide 2.4 mg. The indirect estimate and the direct trial agree to within a quarter of a percentage point.

Why that agreement matters, and how far to push it

Indirect comparison is routinely dismissed as a weaker substitute for a real trial, and in the hierarchy of evidence it is. But this is a documented case in which an indirect estimate predicted a subsequent head-to-head result almost exactly, in a field where nobody had run the head-to-head yet. That is worth knowing when a health technology assessment rests on indirect evidence, which many do. The caveats are real and should travel with the claim: SURMOUNT-5 used a mix of 10 mg and 15 mg tirzepatide against a mix of 1.7 mg and 2.4 mg semaglutide, so it is not a clean 15 mg versus 2.4 mg comparison; it was open-label where the network's trials were mostly double-blind; and one agreement does not establish that indirect comparison is generally reliable. It establishes that it was reliable here.

Who paid for it, and why that is stated rather than implied

The study was sponsored by Eli Lilly, which markets tirzepatide, and Lilly also funded the journal's rapid service and open access fees. Five of the nine authors are declared employees and shareholders of Eli Lilly. Three are employees of Costello Medical, which was paid by Lilly for analytical services for this study. The remaining author declares honoraria from AstraZeneca, Boehringer Ingelheim, Lilly and Novo Nordisk. All of that is stated in the paper's own declarations, in full. The correct response is not to discard the analysis - a sponsored study is not a false one, and the SURMOUNT-5 agreement is evidence that this one estimated well - but to hold the funding in mind against the choices only the analysts could make, of which the exclusion of 36 trials is the largest.

Quick reference

Trial in the networkYearDrug studiedSample size in Table 1
SCALE Obesity and Prediabetes2015Liraglutide 3 mg4,974
O'Neil dose-ranging2018Semaglutide vs liraglutide239
STEP 12021Semaglutide 2.4 mg1,961
STEP 52022Semaglutide 2.4 mg304
STEP 82022Semaglutide vs liraglutide338
SURMOUNT-12022Tirzepatide 5/10/15 mg2,539

Extended research context

The GLP-1 & Incretin Science deep dive

Deep dive: the two routes to a bigger effect

Every compound trying to beat GLP-1 alone has taken one of two routes. The first adds more receptors from the same hormone family — GIP in tirzepatide, GIP and glucagon in retatrutide. The second adds a non-incretin satiety hormone, which in practice means amylin: CagriSema combines cagrilintide with semaglutide, and amycretin engages both receptors from one molecule. Both routes work, because they recruit signalling pathways that do not fully overlap. Neither has escaped the constraint that binds all of them, which is that gastrointestinal tolerability worsens as effect size grows.

Deep dive: why a percentage is not a result

The most-quoted numbers in this field are the least comparable. REDEFINE 1 reported 22.7% and 20.4% for the same compound in the same trial — the first among participants who adhered to treatment, the second across everyone randomised. TRIUMPH-1 reported 28.3% in an uncomplicated obesity population while TRIUMPH-3 reported up to 22.6% in adults with established cardiovascular disease, using the same compound. Before any two figures can be compared they have to match on estimand, population, duration, comparator and whether the number is placebo-adjusted. Most published comparisons match on none of them.

Deep dive: what happens after the trial stops

Every headline figure describes weight while treatment continues. The STEP-1 extension found that a year after semaglutide was stopped, participants had given back roughly two-thirds of what they lost, moving from 17.3% mean reduction to a net 5.6% — though average weight remained below baseline and nearly half stayed at least 5% down. Meta-analysis puts regain at around 0.8 kg per month. This is why maintenance studies such as TRIUMPH-6 matter more to the field's future than another two points of peak reduction.

Research applications

  • Comparing incretin and amylin compounds on a like-for-like basis
  • Interpreting estimands, thresholds and placebo-adjusted figures in trial reports
  • Tracking the obesity pipeline across sponsors and jurisdictions
  • Understanding receptor pharmacology behind GLP-1, GIP, glucagon and amylin
  • Distinguishing licensed medicines from investigational compounds

Handling checklist

  • Identify which estimand a quoted percentage comes from before citing it
  • Check the trial population and baseline BMI against the comparison you are making
  • Confirm the duration and whether the reduction curve had plateaued
  • Read discontinuation rates alongside efficacy figures
  • Verify every NCT identifier against ClinicalTrials.gov rather than secondary reporting

Common research-handling mistakes

Learnt from thousands of researcher orders across our UK labs.

Comparing headline percentages across different trials

Fix: Population, duration, estimand and comparator all differ; the numbers are not interchangeable.

Quoting the larger of two figures from the same trial

Fix: Name the estimand. Efficacy and treatment-policy answer different questions.

Treating peak reduction as a durable outcome

Fix: Substantial regain follows cessation across the class; peak figures describe a maintained state.

Assuming an oral route means a weaker mechanism

Fix: Route and receptor count are independent. Orforglipron is weaker because it hits one receptor, not because it is a tablet.

Reading investigational compounds as available treatments

Fix: Most of this pipeline holds no authorisation anywhere; mazdutide is approved only in China.

Continue researching

Peer-reviewed guides, comparators and matched reference materials.

Related questions researchers ask

  • Which weight-loss compound produces the largest reduction?
  • What is the difference between CagriSema and amycretin?
  • What is an amylin receptor agonist?
  • How much weight is regained after stopping a GLP-1?
  • Why does CagriSema report two different percentages?
  • Why is orforglipron less effective than retatrutide?

Frequently asked questions

Does this replace a head-to-head trial?
No, and the paper does not claim it does. An indirect estimate carries assumptions that a randomised comparison does not need. Its value is that it exists where a head-to-head does not - which, for tirzepatide against liraglutide, remains the case.
Should a sponsored meta-analysis be trusted?
It should be read with its sponsorship known, which the disclosure makes possible. Sponsorship is associated on average with results favourable to the sponsor, and that association is a reason for scrutiny rather than a verdict on any single paper. Here the scrutiny is available: the inclusion criteria are stated, the six trials are named, and the central estimate was subsequently matched by an independent trial.
Why exclude 36 trials?
Because a network meta-analysis is only valid if the linked trials are comparable enough that their placebo arms can stand in for each other. Trials in different populations, with different background therapy or different outcome definitions, break that assumption. The exclusions are defensible in principle; whether each one was correct requires reading the supplementary material.
Is tirzepatide therefore better than semaglutide?
On weight reduction at the doses studied, both this analysis and SURMOUNT-5 point the same way, and that is now reasonably well supported. Both are licensed medicines that we do not supply, nothing sold on this site is an alternative to either, and 'better on average weight change' is not the same as 'better for a given person', which depends on tolerability, comorbidity and access.

Primary sources & clinical trials

Peer-reviewed research and registered trials from PubMed, ClinicalTrials.gov, PubChem, FDA and NIH. All links open in a new tab and point to the primary source, so every claim can be verified at origin.

JM

Written and reviewed by

Jack Muncaster · Founder, UK Peptides

Jack founded UK Peptides in Manchester after repeatedly receiving research compounds with missing or recycled paperwork. He is responsible for supplier selection, batch release decisions and the content published in this research library. Every article here is sourced to primary literature and every product page to a signed third-party certificate.

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