GLP ‐1 Receptor Agonists and Weight Loss Among Suboptimal Responders to Metabolic Bariatric Surgery: A Target Trial Emulation
An erratum to this article was published (Diabetes Obes Metab, Oct 2026 ↗)
Main finding · %TBWLResult — go to the resultDifference 6.28 percentage points 95% CI 5.50–7.07Authors' conclusion
In this target trial emulation, GLP-1 RA initiation was associated with clinically meaningful weight loss among Chinese suboptimal responders to MBS.
Study context
- Population
- Adults aged 18–65 years, 12–36 months after sleeve gastrectomy (SG) or RYGB, with body mass index (BMI) ≥ 28 kg/m² and suboptimal weight loss, two Tertiary A teaching hospitals in China (March 2019 to June 2024); mean age 36.4 years, 66% female, mean BMI 33.7 kg/m²propensity score matched
- Participants
- 624 adults
- Comparison
- GLP-1 RA initiation vs standard care
- GLP-1 RAn = 104
- Standard caren = 520reference
- Outcome
- Percentage of total body weight loss (%TBWL)
- Follow-up
- 12 months
Methodological detailselectronic health record data, multicenter, clone-censor-weight approach, 30-day grace period, 1:5 propensity score matching
- Electronic health record data
- Multicenter
- Clone-censor-weight approach
- 30-day grace period
- 1:5 propensity score matching
Main finding
%TBWL
Difference
6.28 percentage points
95% CI 5.50–7.07
P < 0.001
By group
GLP-1 RAvs Standard care
difference 6.28 percentage points (95% CI 5.50–7.07); P < 0.001
As reported in the abstract
Further findings
≥ 5% TBWL responder rate · 12 months
- ≥ 5% TBWL responder rate, GLP-1 RA vs standard care
- 75% versus 7%
%TBWL, per-protocol effect · 12 months
- Per-protocol effect
- 6.44 percentage points (95% CI, 5.65 to 7.23)
Subgroup and sensitivity analyses
- Results were consistent across surgery types, BMI thresholds, diabetes status, and all sensitivity analyses
Original publication
GLP ‐1 Receptor Agonists and Weight Loss Among Suboptimal Responders to Metabolic Bariatric Surgery: A Target Trial Emulation. Diabetes Obes Metab. Published 7 May 2026. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →