Evidence map›Paper›PMID 41503569›Full record

ArticleJHEP reports : innovation in hepatology2026

Impact of SGLT2i and GLP-1RA on liver-related events in patients with MASLD and type 2 diabetes: A network meta-analysis.

Lu Li, Xianhua Mao, Chi Ho Lee, David Tak Wai Lui, Rex Wan-Hin Hui, Lung-Yi Mak, Man-Fung Yuen, Ka Shing Cheung, Wai-Kay Seto

Abstract read
In one paragraph

Article in JHEP reports : innovation in hepatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Observational
  5. Review
  6. Observational
4 · The record

Corrections and comments

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

9 authors.

Lu LiDepartment of Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Xianhua MaoDivision of Gastroenterology and Hepatology, Stanford University Medical Center, Palo Alto, California, United States.
Chi Ho LeeDepartment of Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
David Tak Wai LuiDepartment of Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Rex Wan-Hin HuiDepartment of Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Lung-Yi MakDepartment of Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Man-Fung YuenDepartment of Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Ka Shing CheungDepartment of Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Wai-Kay SetoDepartment of Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & Aims: Glucose-lowering drugs (GLDs) including glucagon-like peptide-1 receptor agonists (GLP-1RAs) and sodium-glucose cotransporter 2 inhibitors (SGLT2is) have been broadly evaluated in patients with coexisting metabolic dysfunction-associated steatotic liver disease (MASLD) and type 2 diabetes (T2D). However, their comparative efficacy in reducing the risk of liver-related events remains unclear. Thus, we aim to simultaneously compare the efficacy of different GLDs for patients with MASLD and T2D. Methods: We searched PubMed, EMBASE, Cochrane Library and Web of Science for observational studies from inception to April 2025. We evaluated the comparative efficacy of six GLDs, including GLP-1RAs, SGLT2is, dipeptidyl peptidase-4 inhibitors, metformin, sulfonylureas, and thiazolidinediones using pairwise meta-analysis and Bayesian network meta-analysis. We assessed overall and individual liver-related events, including the development of cirrhosis, decompensation and hepatocellular carcinoma (HCC), with treatments ranked via SUCRA (surface under the cumulative ranking) scores. Results: Twelve studies involving 737,408 patients with MASLD and diabetes were analyzed. Both GLP-1RAs and SGLT2is, when compared to non-GLP-1RA and non-SGLT2i controls, were significantly associated with reduced risk for overall liver-related events (hazard ratio [HR] 0.79, 95% CI 0.70-0.90, and HR 0.75, 95% CI 0.63-0.88, respectively). Similar results were also observed for HCC and liver decompensation (HRs 0.74-0.81). In individuals with obesity, a greater risk reduction was observed for GLP-1RAs (HR 0.74, 95% CI 0.56-0.99) but not for SGLT2is. GLP-1RAs also outperformed SGLT2is in non-Asian populations (HR 0.91, 95% CI 0.83-0.99). Network meta-analysis identified GLP-1RAs and SGLT2is (SUCRA 90%/80%, respectively) as the most effective for risk reduction, with significantly greater efficacy than other GLDs (HRs 0.75-0.79). Conclusions: GLP-1RAs and SGLT2is were associated with reduced risks of liver-related events in patients with MASLD and T2D. GLP-1RAs showed superior benefit in individuals with obesity and in non-Asian populations, supporting a personalized approach to treatment selection. Impact and implications: The long-term liver-related efficacy of different glucose-lowering drugs (GLDs) in patients with coexisting metabolic dysfunction-associated steatotic liver disease and type 2 diabetes remains unclear, despite a higher lifetime risk of advanced liver disease in this population. We evaluated the comparative efficacy of six GLDs by pairwise meta-analysis and Bayesian network meta-analysis, demonstrating GLP-1RAs and SGLT2is may be among the most effective GLDs for reducing liver-related events, with GLP-1RAs appearing particularly beneficial for patients with obesity. These findings support a personalized approach to treatment selection and underscore the need for future clinical trials to confirm the efficacy of GLDs. INPLASY registration number: INPLASY202530085.

Indexed as

DMglucose-lowering drugsMASLDnetwork meta-analysis

Identifiers

PMID41503569
PMCPMC12771308

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.