Efficacy of GLP-1-based Therapies on Metabolic Dysfunction-associated Steatotic Liver Disease and Metabolic Dysfunction-associated Steatohepatitis: A Systematic Review and Meta-analysis
Bibliographic record
Abstract
OBJECTIVE: New therapies are urgently needed for the treatment of metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction-associated steatohepatitis (MASH). We conducted this systematic review and meta-analysis to evaluate the therapeutic effects of glucagon-like peptide-1 receptor agonists (GLP-1RAs) on MASLD/MASH. METHODS: We searched PubMed, Embase, and Cochrane Library databases to identify randomized controlled trials (RCTs) that compared GLP-1RAs with placebo or active agents with respect to the efficacy in patients with MASLD/MASH. The effects of GLP-1RAs on liver fat content (LFC) by imaging, liver histology, serum liver enzymes, and noninvasive fibrosis indexes [Fibrosis-4, nonalcoholic fatty liver disease fibrosis score, cytokeratin 18, procollagen III, and liver stiffness) were evaluated. Mean differences and risk ratios with 95% confidence intervals were pooled using a random-effect model. RESULTS: Twenty-five RCTs involving 2600 patients who used GLP-1RAs including liraglutide, exenatide, dulaglutide, semaglutide, tirzepatide, efinopegdutide, survodutide, and retatrutide were included. Overall, GLP-1RAs treatment for a median of 24 weeks demonstrated a significant reduction in LFC by 5.21%, with retatrutide displaying the most obvious treatment effects. GLP-1RAs treatment induced significant histological improvements in steatosis, hepatocellular ballooning, and lobular inflammation but nonsignificantly improved fibrosis, with the evidence for tirzepatide more robust than that for semaglutide and liraglutide. GLP-1RAs treatment significantly decreased serum alanine aminotransferase, aspartate aminotransferase, and γ-glutamyl transferase compared with control. GLP-1RAs also significantly improved liver stiffness, with semaglutide displaying the most obvious treatment effect. No drug-related adverse effects involving the liver were observed. CONCLUSION: GLP-1RAs decreased liver fat deposition and improved histological steatosis, hepatocellular ballooning, and lobular inflammation, without worsening of fibrosis in MASLD and MASH.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.021 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.019 | 0.031 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".