# GLP-1 Receptor Agonists in the Management of Post-bariatric Weight Regain and Dysglycemia: A Systematic Review and Meta-Analysis

**Authors:** Julia Natche, Ricardo Olivas Lerma, Sneha Kanduri Hanumantharayudu, Pavan Kumar Makam Surendraiah, Sharmin Rahman, Farzana Rahman, Shivani Shah, Mamta Bhatta, Siva Ranganathan Green, Maria Sultana, Aiysha Gul, Pulkit Gairola

PMC · DOI: 10.7759/cureus.102516 · Cureus · 2026-01-28

## TL;DR

This study reviews how GLP-1 receptor agonists may help manage weight regain and blood sugar issues after bariatric surgery, but more research is needed.

## Contribution

The study provides a systematic review and meta-analysis of GLP-1 RAs for post-bariatric weight regain and dysglycemia, highlighting efficacy and limitations.

## Key findings

- GLP-1 RAs were associated with a pooled mean weight reduction of 7.45 kg.
- High heterogeneity (I² = 89.8%) suggests variability in study results.
- No significant publication bias was detected (Egger’s test p = 0.29).

## Abstract

Weight regain, insufficient weight loss, and metabolic relapse (including dysglycemia) are increasingly recognized long-term challenges following bariatric surgery. Glucagon-like peptide-1 (GLP-1) receptor agonists (RAs) have been explored as a potential adjunctive therapy in this setting, though evidence on their effects in post-bariatric populations remains limited and variable. This systematic review and meta-analysis was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. A comprehensive search of electronic databases identified studies evaluating GLP-1 RA therapy in adults following bariatric surgery for weight regain, insufficient weight loss, or persistent/recurrent dysglycemia. Thirteen studies met the inclusion criteria and were included in the quantitative meta-analysis of weight outcomes. A random-effects model was used to pool mean weight change, with heterogeneity assessed via the I² statistic. Publication bias was evaluated using funnel plots and Egger’s regression test. Across the 13 studies, GLP-1 RA therapy was associated with a pooled mean weight reduction of 7.45 kg (95% CI −8.78 to −6.11). However, substantial heterogeneity was present (I² = 89.8%), likely attributable to differences in study designs, patient characteristics, bariatric procedures, GLP-1 RA agents/doses, and follow-up durations. Funnel plot inspection and Egger’s test (p = 0.29) did not indicate significant publication bias or small-study effects. While these findings suggest that GLP-1 RAs may offer a non-invasive adjunctive option for managing post-bariatric weight regain and inadequate weight loss, the high heterogeneity and predominance of observational studies limit the strength of conclusions. GLP-1 RAs appear promising in addressing appetite dysregulation and metabolic signaling in this population, but further high-quality, randomized controlled trials with longer follow-up are needed to confirm efficacy, optimize treatment regimens, and better evaluate glycemic outcomes.

## Linked entities

- **Proteins:** GCG (glucagon)

## Full-text entities

- **Genes:** INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}, GLP1R (glucagon like peptide 1 receptor) [NCBI Gene 2740] {aka GLP-1, GLP-1-R, GLP-1R}, GCG (glucagon) [NCBI Gene 2641] {aka GLP-1, GLP1, GLP2, GRPP}
- **Diseases:** TS (MESH:D005879), IWL (MESH:D015431), Type 2 Diabetes Mellitus (MESH:D003924), appetite dysregulation (MESH:D001068), metabolic deterioration (MESH:D024821), diabetes (MESH:D003920), obesity (MESH:D009765), WR (MESH:D055191), weight gain (MESH:D015430)
- **Chemicals:** Embase (-), glucose (MESH:D005947), exenatide (MESH:D000077270)
- **Species:** Homo sapiens (human, species) [taxon 9606]
- **Mutations:** A1C

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12949042/full.md

## References

31 references — full list in the complete paper: https://tomesphere.com/paper/PMC12949042/full.md

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Source: https://tomesphere.com/paper/PMC12949042