Evidence mapPaperPMID 33897616Full record

SynthesisFrontiers in endocrinology2021

Glucagon-Like Peptide-1 Receptor Agonists for Non-Alcoholic Fatty Liver Disease in Type 2 Diabetes: A Meta-Analysis.

Chloe Wong, Ming Hui Lee, Clyve Yu Leon Yaow, Yip Han Chin, Xin Lei Goh, Cheng Han Ng, Amanda Yuan Ling Lim, Mark Dhinesh Muthiah, Chin Meng Khoo

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 3 pooled it
9.2field-weighted citation impact, top 1% of its field
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

39 citing papers in PubMed, 3 syntheses or guidelines pooled it, 83 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Guideline
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  15. Key challenges of post-liver transplant weight management.World journal of transplantation · 2024
    Review
  16. Article
  17. Review
  18. Review
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  20. Safety-Net Primary Care and Endocrinology Clinicians' Knowledge and Perspectives on Screening for Nonalcoholic Fatty Liver Disease: A Mixed-Methods Evaluation.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2024
    Article
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 at 1 institution in 1 country.

Chloe WongYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Ming Hui LeeDepartment of Biological Sciences, Faculty of Science, National University of Singapore, Singapore, Singapore.
Clyve Yu Leon YaowYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Yip Han ChinYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Xin Lei GohYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Cheng Han NgYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Amanda Yuan Ling LimYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Mark Dhinesh MuthiahYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Chin Meng KhooYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
National University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Non-alcoholic fatty liver disease is highly prevalent in patients with type 2 diabetes mellitus. Studies on glucagon-like peptide-1 receptor agonists for the treatment of non-alcoholic fatty liver disease have reported promising results. Despite this, there has been limited evidence of its efficacy in non-alcoholic fatty liver disease patients with type 2 diabetes mellitus. This meta-analysis examined existing evidence on the efficacy of glucagon-like peptide-1 receptor agonists on the management of non-alcoholic fatty liver disease in patients with type 2 diabetes mellitus. Methods: Medline, Embase and Cochrane Central Register of Controlled Trials (CENTRAL) were searched for articles discussing the efficacy of glucagon-like peptide-1 receptor agonists on non-alcoholic fatty liver disease in patients with type 2 diabetes mellitus. Values of standardized mean differences (SMD) and risk ratio (RR) were determined for continuous outcomes and dichotomous outcomes respectively. Results: 8 studies involving 1,454 patients from 5 randomized controlled trials and 3 cohort studies were included in the analysis. Our analysis found significant improvements in hepatic fat content, liver biochemistry, body composition, glucose parameters, lipid parameters, insulin sensitivity and inflammatory markers following glucagon-like peptide-1 receptor agonist treatment. Glucagon-like peptide-1 receptor agonists significantly decreased hepatic fat content compared to metformin and insulin-based therapies. Glucagon-like peptide-1 receptor agonists also improved fibrosis markers, but this did not reach statistical significance. Conclusion: With a high prevalence of obesity and non-alcoholic fatty liver disease among patients with type 2 diabetes mellitus, glucagon-like peptide-1 receptor agonist treatment shows promise in improving both diabetes and non-alcoholic fatty liver disease phenotype.

Indexed as

Glucagon-Like Peptide-1 Receptor AgonistsBiomarkersDiabetes Mellitus, Type 2HumansHypoglycemic AgentsIncretinsInsulin ResistanceLipid MetabolismLiverNon-alcoholic Fatty Liver DiseaseBiomarkersGlucagon-Like Peptide-1 Receptor AgonistsHypoglycemic AgentsIncretinsGLP-1RAglucagon-like peptide-1 receptor agonistmeta-analysisnon-alcoholic fatty liver diseasetype 2 diabetes mellitus

Identifiers

PMID33897616
PMCPMC8063104
OpenAlexW3152705183

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.