Evidence Hub

Effect of SGLT-2 inhibitors on liver fibrosis progression in patients with MASLD: an updated meta-analysis based on RCTs

Yang L, Ruan J, Fang Y, Xu A

Frontiers in medicine, 2025

11,300 participants · 2 citations

Abstract

Background: The purpose of our study was to assess the effect of sodium-glucose cotransporter protein 2 (SGLT-2) inhibitors on the progression of liver fibrosis in patients with non-alcoholic fatty liver disease (NAFLD), which is currently renamed metabolic dysfunction-associated steatohepatitis (MASLD).

Methods: From database establishment to February 2025, we systematically searched electronic databases, including PubMed, Web of Science, Embase, and the Cochrane Library, to identify relevant randomized controlled trials (RCTs). The mean difference (MD) and 95% confidence intervals (CIs) were used to assess the effects of SGLT-2 inhibitors on liver fibrosis indicators, including the Fib-4 index, NAFLD fibrosis score (NFS), liver stiffness measurement (LSM), controlled attenuation parameter (CAP), and serum type 4 collagen 7s levels.

Results: A total of 16 RCTs involving 11,300 subjects were included. The meta-analysis revealed that, compared with the control group, SGLT-2 inhibitors significantly reduced the Fib-4 index (MD = -0.16, 95% CI: -0.32 to 0.00, p = 0.05), NFS (MD = -0.10, 95% CI: -0.16 to -0.04, p = 0.01) and serum type 4 collagen 7s levels (MD = -0.35, 95% CI: -0.63 to -0.06, p = 0.02) in NAFLD patients. However, no significant differences were observed in imaging metrics such as LSM and CAP. Subgroup analyses indicated that empagliflozin and ipragliflozin may be more efficacious, with their benefits more pronounced in patients receiving short-term treatment…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 11,300 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free