Evidence map›Paper›PMID 41191087›Full record

ReviewChirurgie (Heidelberg, Germany)2026

[Peptide hormone analogue-based pharmacotherapy for obesity is effective : What is the evidence on hard end points and the long-term course?]

Muzamil Hussain, Alexander Dimitry Miras

Abstract readEnglish AbstractReview
In one paragraph

Review in Chirurgie (Heidelberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Muzamil HussainSchool of Medicine, Ulster University, Northland Rd, BT48 7JL, Londonderry, Großbritannien. m.hussain@ulster.ac.uk.
Alexander Dimitry MirasSchool of Medicine, Ulster University, Northland Rd, BT48 7JL, Londonderry, Großbritannien.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The anorectic peptide-based obesity management medications (OMM) have dominated the treatment of obesity over the last decade. This review analyses the evidence that has laid the ground for the three most frequently used drugs (liraglutide, semaglutide and tirzepatide) with regulatory approval. In this context, the SCALE program investigated liraglutide for weight loss and found its effectiveness to be roughly 6-8%. Similarly, the STEP program extensively researched semaglutide as a weight loss intervention and found it to be effective in reducing body weight by 9.6% in people with type 2 diabetes and by 15% in those without. Likewise, for tirzepatide this evaluation was done under the SURMOUNT program, which reported an efficacy of 14.7% in body weight reduction for type 2 diabetes patients as opposed to 22.1% in people without diabetes. The positive effects usually diminish when treatment is discontinued. The SELECT trial provided the first concrete evidence of risk reduction of major adverse cardiovascular events (MACE) by 20% with the use of semaglutide. Overall, safety and tolerability of these 3 drugs is generally good across all studies. Additionally, the most common adverse events reported are gastrointestinal, which occur early during treatment and subside over time. Data on other hard end points and long-term outcomes do not yet exist.

Indexed as

Anti-Obesity AgentsGlucagon-Like PeptidesLiraglutideObesityGlucagon-Like Peptide 1HumansSemaglutideTreatment OutcomeWeight LossAnti-Obesity AgentsGlucagon-Like Peptide 1Glucagon-Like PeptidesLiraglutideSemaglutideLiraglutideObesitySemaglutideTirzepatideWeight reduction

Identifiers

PMID41191087
PMCPMC12804224

What OpenQuestion holds

Texttitle and abstract
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.