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Record W4407284961 · doi:10.1093/jcag/gwae059.081

A81 GASTROINTESTINAL ADVERSE EVENTS ASSOCIATED WITH GLUCAGON-LIKE PEPTIDE-1 (GLP-1) AGONISTS IN OVERWEIGHT PATIENTS: A SYSTEMATIC REVIEW AND META-ANALYSIS

2025· review· en· W4407284961 on OpenAlexaff
Yash Verma, Nikko Gimpaya, Winston H. Tran, R Sondawle, G Sinanian, Daniel Tham, Samir C. Grover

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2025
Typereview
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
Fundersnot available
KeywordsGlucagon-like peptide-1Meta-analysisAdverse effectOverweightMedicineInternal medicineGlucagonGastroenterologyEndocrinologyType 2 diabetesObesityDiabetes mellitusInsulin

Abstract

fetched live from OpenAlex

Abstract Background Glucagon-Like Peptide-1 (GLP-1) agonists are widely prescribed for managing type 2 diabetes and have recently gained attention for their potential in promoting weight loss in obese patients. The off-label use of certain GLP-1 agonists for weight loss has been steadily increasing, raising concerns about their safety in non-diabetic patients. Although the gastrointestinal (GI) side effects of GLP-1 agonists are well-documented in diabetic populations, their impact on overweight or obese individuals has not been systematically analyzed. Aims To systematically review and analyze the incidence, severity, and types of GI adverse events (AEs) associated with the use of GLP-1 agonists in overweight or obese patients (BMI: >25 kg/m2) Methods We conducted a systematic search across five databases, including PubMed, Ovid MEDLINE, Embase, Web of Science, and Scopus. Studies were restricted to randomized controlled trials (RCTs) involving GLP-1 agonists whose primary indication was obesity and whose primary outcome was weight loss. Studies that did not report adverse events were excluded. Adverse events were extracted using their preferred terms from the Medical Dictionary for Regulatory Activities (MedDRA). A meta-analysis was performed to pool the relative risk (RR) of GI AEs using the random effects model. A meta-regression was also performed. Results A total of 42 studies (n = 23318 patients) met the inclusion criteria. GLP-1 agonists showed an increased risk of nausea (RR 2.77; 95% CI 2.50–3.10; p < 0.001), diarrhea (RR 2.01; 95% CI 1.78–2.01; p < 0.001), and constipation (RR 2.13; 95% CI 1.90–2.38; p = 0.05) when compared to placebo. The incidence of nausea was higher in those with lower average BMI (coefficient: 3.88; p = 0.005). Additionally, we found no difference between GLP-1 agonists and placebo in the risk of cholelithiasis, cholecystitis, and biliary dyskinesia (RR 1.62; 95% CI 1.22–2.17; p = 0.99). Conclusions Our study found that obese patients are at an increased risk of experiencing nausea, diarrhea and constipation when using GLP-1 agonists compared to placebo. Gallbladder disorders showed no difference in risk. For obese patients, lower average BMI may increase the likelihood of experiencing nausea. FIgure 1. Forest plot indicating relative risk for nausea in obese patients treated with GLP-1 agonists. Error bars represent 95% confidence intervals. Funding Agencies None

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.027
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0190.036
Bibliometrics0.0100.010
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.260
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2025
Admission routes1
Has abstractyes

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