Efficacy and Safety of GLP-1 Receptor Agonists for MASLD: An Umbrella Review
by Hui Wu·Updated 10d ago
14.7 KB1files
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Description
Supplementary file 2_Efficacy and safety of GLP-1 receptor agonists in patients with metabolic-associated fatty liver diseases: an umbrella review.xlsx contains summarized findings from a review of 23 meta-analyses and systematic reviews. The dataset, authored by Hui Wu and last updated on 2026-05-28, aggregates evidence on GLP-1 RAs for MASLD across five outcome categories: liver characteristics, liver enzyme levels, anthropometric measurements, metabolic markers, and inflammatory markers. The review was conducted following PRISMA 2020 guidance, searching five databases from inception to 30 September 2025.
Use Cases
Compare treatment efficacy across different outcome categories based on the five summarized categories of liver and metabolic markers.
Assess the quality of existing evidence for GLP-1 RAs in MASLD based on the AMSTAR 2 assessments mentioned in the description.
Identify gaps for future high-quality studies based on the finding that nearly 80% of included reviews were of critically low quality.
Evaluate the safety profile of GLP-1 receptor agonists for MASLD patients based on the safety outcomes mentioned.
Strengths
Aggregates evidence from 23 meta-analyses and systematic reviews.
Structured findings into five distinct outcome categories for analysis.
Follows PRISMA 2020 guidance for systematic review methodology.
Includes a quality assessment of included reviews using AMSTAR 2.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
The authors note findings are preliminary due to the low quality of most included reviews.
Provenance
Source
Hui Wu via figshare.
Collection Method
Umbrella review aggregating results from 23 meta-analyses and systematic reviews retrieved from five databases.
Time Range
Literature search from database inception to 30 September 2025.
Freshness
Last updated 2026-05-28 04:51:27; freshness should be verified.
License is CC-BY-4.0. The dataset is very small at 14.7 KB, indicating limited scope.