Skip to main content

Exercise Versus Standard Therapy in Steatotic Liver Disease Spectrum: A Systematic Review, Meta-Analysis, and Meta-Regression

Journal
Journal of clinical medicine (Q1)
Published
22 July 2026
Study design
Systematic review / meta-analysis of RCTs
Evidence level
Level 1, High (CEBM 1a)
Authors
Muhammad Ahsan Asif, Saad Masood, Syed Muhammad Ali Akbar, Muhammad Hamza Khalid, Abdul Rehman, Mahnoor Imran, et al.
PMID
42513650
DOI
10.3390/jcm15145737

Why clinicians should know about it

  • Picked for Hepatology (paper of the day, 29 July 2026).

Abstract

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) affects nearly one-fourth of the world population and is closely linked to obesity, metabolic syndrome, and poor diet. We conducted a systematic review and meta-analysis to evaluate the impact of exercise on key clinical outcomes in MASLD patients. Methods: A systematic literature search was conducted until 202 September 5, to identify randomized controlled trials (RCTs), post-hoc analyses, and quasi-experimental designs comparing exercise versus standard therapy in MASLD. A random-effects model pooled data as mean differences (MD) or risk ratios (RR) with 95% confidence intervals (CI). Analyses were conducted using R (version 4.5.1). Results: Our meta-analysis included 21 RCTs, 4 post-hoc analyses, and 1 quasi-experimental study (1124 patients; mean age 52.24 ± 7.24 years). Exercise reduced BMI (MD -0.82), serum cholesterol (MD -14.31), ALT (MD -6.56), AST (MD -5.32), FIB-4 (MD -0.19), and NAFLD fibrosis score (MD -0.59), and increased HDL (MD 4.36) versus standard therapy. Weight (MD -2.11) and HOMA-IR (MD -0.59) were not significantly different. Meta-regression showed age increased HOMA-IR (estimate 0.032) and higher BMI reduced HDL (estimate -0.71). Conclusions: Exercise significantly improves key clinical outcomes in MASLD, including BMI, cholesterol, liver enzymes, and fibrosis markers, supporting physical activity as a core component of MASLD management.

Abstract as published, via PubMed.

View on PubMedFull text at the publisherOpen in the app

For healthcare professionals. The summary is generated by AI from the published abstract, and the evidence level is assigned automatically from the study design on the Oxford CEBM hierarchy. Neither is medical advice. Read the full paper before changing practice.