Evidence map›Paper›PMID 41972405›Full record

ArticleClinical and translational gastroenterology2026

Body Mass Index-Dependent Effect of Glucagon-Like Peptide 1 Receptor Agonist Therapy on Bowel Preparation Quality.

F N U Vikash, Sara Valencia, Qijun Yang, Sydney Rubin, Samita Garg

Abstract read
In one paragraph

Article in Clinical and translational gastroenterology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

5 authors.

F N U VikashDepartment of Gastroenterology, Hepatology and Nutrition, Digestive Disease Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Sara ValenciaDepartment of Gastroenterology, Hepatology and Nutrition, Digestive Disease Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Qijun YangSection of Biostatistics, Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA.
Sydney RubinDepartment of Gastroenterology, Hepatology and Nutrition, Digestive Disease Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Samita GargDepartment of Gastroenterology, Hepatology and Nutrition, Digestive Disease Institute, Cleveland Clinic, Cleveland, Ohio, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGlucagon-like peptide-1 receptor agonist (GLP-1RA) therapy has been associated with inadequate bowel preparation (IBP) during colonoscopy, but the role of baseline body mass index (BMI) remains unclear. We aim to assess whether baseline BMI modifies the association between GLP-1RA use and bowel preparation adequacy and lesion detection, hypothesizing a BMI-dependent effect modification.

methodsWe conducted a retrospective cohort study of 51,268 patients (46,883 controls, 4,385 GLP-1RA treated) undergoing colonoscopy. Patients were grouped by BMI category from normal or overweight to class III obesity. Multivariable logistic regression models incorporating treatment × BMI interaction terms were used to formally test for effect modification. Primary outcomes were IBP, adenoma detection, and sessile serrated polyp detection. Analysis was adjusted for age, sex, race, diabetes, and gastrointestinal medications.

resultsGLP-1RA use demonstrated significant BMI-dependent effect modification for IBP (global likelihood ratio test P = 0.001). In normal or overweight patients, GLP-1RA therapy was associated with increased odds of IBP (odds ratio 1.66; 95% confidence interval 1.37-2.02; P < 0.001). This effect progressively attenuated with increasing BMI and was negligible in class III obesity. GLP-1RA therapy did not demonstrate an additional adverse impact on adenoma or sessile serrated polyp detection rates compared with patients in similar BMI categories not receiving the therapy. DISCUSSION: GLP-1RA therapy increased IBP risk primarily in normal and overweight patients, with minimal effect in severe obesity. BMI stratification may inform personalized colonoscopy preparation strategies in GLP-1RA-treated patients.

Indexed as

AdenomaBody Mass IndexCatharticsColonic PolypsColonoscopyColorectal NeoplasmsGlucagon-Like Peptide-1 Receptor AgonistsObesityAgedFemaleHumansMaleMiddle AgedOverweightRetrospective StudiesCatharticsGlucagon-Like Peptide-1 Receptor Agonistsbody mass indexbowel preparationcolonoscopyGLP-1 receptor agonistsobesity

Identifiers

PMID41972405
PMCPMC13400046

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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.