Evidence map›Paper›PMID 39420429›Full record

ArticleCardiovascular diabetology2024

Non-alcoholic fatty liver disease risk with GLP-1 receptor agonists and SGLT-2 inhibitors in type 2 diabetes: a nationwide nested case-control study.

Kai-Cheng Chang, Fan-Chi Kuo, Chen-Yi Yang, Chun-Ting Yang, Huang-Tz Ou, Shihchen Kuo

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. Review
  7. Role of sodium-glucose cotransporter 2 inhibitors in liver diseases.World journal of experimental medicine · 2025
    Review
  8. Article
  9. Nano-Enhanced Diets: Advancing Metabolic Dysfunction-Related Steatotic Liver Disease (MASLD) - A Review.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Review
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

6 authors.

Kai-Cheng ChangDepartment of Pharmacy, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Fan-Chi KuoSchool of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Science, College of Medicine, National Cheng Kung University, 1 University Road, Tainan, 701, Taiwan.
Chen-Yi YangSchool of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Science, College of Medicine, National Cheng Kung University, 1 University Road, Tainan, 701, Taiwan.
Chun-Ting YangSchool of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Science, College of Medicine, National Cheng Kung University, 1 University Road, Tainan, 701, Taiwan.
Huang-Tz OuSchool of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Science, College of Medicine, National Cheng Kung University, 1 University Road, Tainan, 701, Taiwan. huangtz@mail.ncku.edu.tw.
Shihchen KuoSchool of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Science, College of Medicine, National Cheng Kung University, 1 University Road, Tainan, 701, Taiwan.

Funding

The Chang Gung Medical Foundation CDRPG3N0041The Ministry of Science and Technology in Taiwan 112-2628-B-006-008-MY3
6 · The paper itself

Abstract

backgroundNon-alcoholic fatty liver diseases (NAFLDs)/non-alcoholic steatohepatitis (NASH) are the most common liver disorders among patients with type 2 diabetes. Newer classes of glucose-lowering agents (GLAs), such as glucagon-like peptide-1 receptor agonists (GLP-1RAs) and sodium-glucose cotransporter 2 inhibitors (SGLT2is), have been shown to improve liver-related biomarkers. However, their effects on the development of NAFLD/NASH remain inconclusive.

methodsA nested case-control study was conducted using Taiwan's National Health Insurance Research Database for 2011-2018. Patients aged ≥ 40 years, diagnosed with type 2 diabetes, having stable non-insulin GLA use, and without NAFLD/NASH history were included. Patients with incident NAFLD/NASH were matched up to 10 randomly sampled controls based on individual's age, gender, cohort entry date, type 2 diabetes diagnosis date, and disease risk score. Conditional logistic regression analyses were employed to estimate the association between liver risk and treatment exposure. Dose-response analysis was also performed.

resultsThere were 621,438 study patients included for analysis. During 1.8 years of median follow-up, the incidence of NAFLD/NASH was 2.7 per 1000 person-years. After matching, 5,730 incident NAFLD cases (mean age: 57.6 years, male: 53.2%) and 45,070 controls (57.7 years, 52.7%) were identified. Using GLP-1RAs or SGLT2is was associated with an insignificantly lower NAFLD/NASH risk (i.e., odds ratios [95% CIs]: 0.84 [0.46-1.52] and 0.85 [0.63-1.14], respectively) and increased cumulative SGLT2i doses were significantly associated with a reduced NAFLD/NASH risk (0.61 [0.38-0.97]).

conclusionGLP-1RA and SGLT2i therapies in type 2 diabetes patients might prevent NAFLD/NASH development, with a significantly lower risk related to greater treatment exposure.

Indexed as

Databases, FactualDiabetes Mellitus, Type 2Glucagon-Like Peptide-1 Receptor AgonistsNon-alcoholic Fatty Liver DiseaseSodium-Glucose Transporter 2 InhibitorsAdultAgedCase-Control StudiesFemaleGlucagon-Like Peptide-1 ReceptorHumansHypoglycemic AgentsIncidenceIncretinsMaleMiddle AgedGLP1R protein, humanGlucagon-Like Peptide-1 ReceptorGlucagon-Like Peptide-1 Receptor AgonistsHypoglycemic AgentsIncretinsSodium-Glucose Transporter 2 InhibitorsGlucagon-like peptide-1 agonistsNon-alcoholic fatty liver diseaseNon-alcoholic steatohepatitisSodium-glucose co-transporter-2 inhibitorsType 2 diabetes

Identifiers

PMID39420429
PMCPMC11487834

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Registered trials

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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 OpenQuestion graph.