Cited by 2Diabetes Treatment and ManagementPharmacology and Obesity TreatmentBariatric Surgery and Outcomes

Weight Changes From Glucagon‐Like Peptide‐1 Receptor Agonist Use and Discontinuation: A Retrospective Cohort Study

Open access
Alexander, G. Caleb, Xu, Yizhen, Xiao, Xuya, Lewis, Sydney V., Zeger, Scott, Mehta, Hemalkumar B.·2026·Obesity

Abstract

Objective: This study aimed to quantify the effect of glucagon‐like peptide‐1 receptor agonists (GLP‐1s) on weight loss and weight gain following GLP‐1 discontinuation. Methods: This retrospective cohort study using electronic health records from TriNetX included individuals age 18 years or older with various lengths of continuous GLP‐1 use between September 2014 and November 2023. Applying an intention‐to‐treat framework, we used linear mixed effects models and propensity score adjustment to model changes in BMI after GLP‐1 discontinuation while accounting for correlated within‐person observations and potential confounders. Results: A total of 78,076 (19.7%) individuals used GLP‐1s continuously for 3 months, 23,861 (6.0%) for 6 months, and 12,642 (3.2%) for 9 months. The median BMI prior to initiation was 36.38 (IQR 36.30–36.46), which declined by 2.15% (IQR 2.10%–2.21%) to 35.81 (IQR 35.7–35.92) among individuals with 3 months of continuous GLP‐1 use. Median BMI declines were greater among individuals with 6 months (4.38%, IQR 4.27%–4.48%) and 9 months (5.56%, IQR 5.34%–5.78%) of continuous use. On average, weight loss among discontinuers at months 3, 6, and 9 slowed in comparison to their counterparts. Conclusions: Among this real‐world sample, GLP‐1 use was associated with more modest weight loss than has been demonstrated in randomized controlled trials.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/oby.70076

Cites

27 of 27 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Alexander, G. C., Xu, Y., Xiao, X., Lewis, S. V., Zeger, S., & Mehta, H. B.
Affiliations
  • Johns Hopkins University (US)
  • University of Utah (US)
Corresponding author
Alexander, G. Caleb
Venue
Obesity
Publisher
Wiley
Published
2025-11-21
Volume
34
Issue
2
Pages
482-490
ISSN
  • 1930-7381 (ISSN-L)
  • 1930-739X
OpenAlex
W4416529683
Cited by
1
References
27
Citations by year
2026: 1
FWCI
0.68
Type
journal article
Language
en
Open access
Locations
  • Obesity (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (publishedVersion)
Funders
National Institute on Aging (K01 AG070329)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
  • Health Sciences › Medicine › Pharmacology › Pharmacology and Obesity Treatment
  • Health Sciences › Medicine › Surgery › Bariatric Surgery and Outcomes
Keywords
GLP-1 receptor agonists, weight loss, weight gain, body mass index, real-world effectiveness
MeSH terms
Glucagon-Like Peptide-1 Receptor Agonists, Adult, Aged, Diabetes Mellitus, Type 2, Female, Humans, Hypoglycemic Agents, Male, Middle Aged, Retrospective Studies, Weight Gain, Weight Loss, Body Mass Index, Glucagon-Like Peptide 1

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review