Evidence map›Paper›PMID 39283612›Full record

ArticleJAMA internal medicine2024

GLP-1 Receptor Agonists and Risk for Cirrhosis and Related Complications in Patients With Metabolic Dysfunction-Associated Steatotic Liver Disease.

Fasiha Kanwal, Jennifer R Kramer, Liang Li, Yu-Xiao Yang, Yumei Cao, Xian Yu, Ronald Samuel, Basim Ali, Roxanne Desiderio, George Cholankeril and 3 more

Abstract read
In one paragraph

Article in JAMA internal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 11 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

82 citing papers in PubMed, 11 syntheses or guidelines pooled it.

  1. Guideline
  2. Effects of GLP-1 Receptor Agonists on Muscle Mass, Strength, and Quality in MASLD: A Systematic Review.Liver international : official journal of the International Association for the Study of the Liver · 2026
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22 more citing papers are in PubMed but not listed here.

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

13 authors.

Fasiha KanwalSection of Gastroenterology and Hepatology, Baylor College of Medicine, Houston, Texas.
Jennifer R KramerSection of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas.
Liang LiDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston.
Yu-Xiao YangCenter for Health Equity Research and Promotion, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania.
Yumei CaoSection of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas.
Xian YuSection of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas.
Ronald SamuelSection of Gastroenterology and Hepatology, Baylor College of Medicine, Houston, Texas.
Basim AliSection of Gastroenterology and Hepatology, Baylor College of Medicine, Houston, Texas.
Roxanne DesiderioSection of Gastroenterology and Hepatology, Baylor College of Medicine, Houston, Texas.
George CholankerilSection of Gastroenterology and Hepatology, Baylor College of Medicine, Houston, Texas.
Mandeep BajajSection of Endocrinology, Baylor College of Medicine, Houston, Texas.
Hashem B El-SeragSection of Gastroenterology and Hepatology, Baylor College of Medicine, Houston, Texas.
Steven M AschCenter for Innovation to Implementation (Ci2i), VA Palo Alto Health Care System, Palo Alto, California.

Funding

Tissue Analysis & Molecular Imaging CoreP30DK056338 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI James Versalovic · 2001 to 2026
$28.3M
Prevention of Hepatocellular Carcinoma Related to Metabolic SyndromeP01CA263025 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Hashem B El-Serag · 2022 to 2026
$8.9M
Risk Stratification for and Early Detection of Liver CancerU01CA230997 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Jagpreet Chhatwal, Hashem B El-Serag · 2018 to 2026
$6.4M
Genome-Wide Association Study (GWAS) in Hepatocellular Carcinoma (HCC)R01CA186566 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AMOS, CHRISTOPHER I., HASSAN, MANAL METWALLY · 2015 to 2019
$3.6M
NCI NIH HHS P01 CA263025NCI NIH HHS R01 CA186566NCI NIH HHS U01 CA230997NIDDK NIH HHS P30 DK056338
6 · The paper itself

Abstract

Importance: Metabolic dysfunction-associated steatotic liver disease (MASLD) is an increasing cause of cirrhosis. Glucagon-like peptide 1 receptor agonists (GLP-1 RAs) are effective in improving liver inflammation in patients with MASLD. Objective: To determine whether use of GLP-1 RAs is associated with lower risk of developing cirrhosis and its complications, including decompensation and hepatocellular cancer (HCC), among patients with MASLD. Design, Setting, and Participants: This retrospective cohort study with an active comparator, new-user design used data from the national Veterans Health Administration Corporate Data Warehouse and Central Cancer Registry. Patients with MASLD and diabetes who were seen at 130 Veterans Health Administration hospitals and associated ambulatory clinics and who initiated either a GLP-1 RA or dipeptidyl peptidase 4 inhibitor (DPP-4i) between January 1, 2006, and June 30, 2022, were included. Patients were followed up from baseline until one of the study outcomes or the end of the study period (December 31, 2022), whichever came first. Exposures: Each GLP-1 RA new user was propensity score matched in 1:1 ratio to a patient who initiated a DPP-4i during the same month. Separate analyses were conducted among patients without and with cirrhosis at baseline. Main Outcomes and Measures: For patients without cirrhosis, the primary outcome was progression to cirrhosis defined by validated diagnoses codes or a noninvasive marker of liver fibrosis, and secondary outcomes were cirrhosis complications defined both as a composite and individual complications, including decompensation, HCC, or liver transplant, and all-cause mortality. For patients with cirrhosis, the primary outcome was a composite outcome of cirrhosis complications, and secondary outcomes were decompensation, HCC, and all-cause mortality. Results: Of 16 058 patients who initiated GLP-1 RAs, 14 606 did not have cirrhosis (mean [SD] age, 60.56 [10.31] years; 13 015 [89.1%] male), and 1452 had cirrhosis (mean [SD] age, 66.99 [7.09] years; 1360 [93.7%] male) at baseline. These patients were matched to an equal number of patients who initiated a DPP-4i. In patients without cirrhosis, GLP-1 RA use, compared with DPP-4i use, was associated with a lower risk of cirrhosis (9.98 vs 11.10 events per 1000 person-years; hazard ratio [HR], 0.86; 95% CI, 0.75-0.98). Similar results were seen for the secondary outcomes. GLP-1 RA use, compared with DPP-4i use, was associated with a lower risk of the composite outcome of cirrhosis complications (1.89 vs 2.55 events per 1000 person-years; HR, 0.78; 95% CI, 0.59-1.04) and mortality (21.77 vs 24.43 events per 1000 person-years; HR, 0.89; 95% CI, 0.81-0.98). There were no associations between GLP-1 RA use and outcomes in patients with cirrhosis. Conclusions and Relevance: In this cohort study, GLP-1 RA use was associated with a lower risk of progression to cirrhosis and mortality among patients with MASLD and diabetes. The protective association was not seen in patients with existing cirrhosis, underscoring the importance of treatment earlier in the disease course.

Indexed as

Glucagon-Like Peptide-1 Receptor AgonistsLiver CirrhosisAgedDiabetes Mellitus, Type 2Dipeptidyl-Peptidase IV InhibitorsFatty LiverFemaleHumansHypoglycemic AgentsLiver NeoplasmsMaleMiddle AgedRetrospective StudiesUnited StatesDipeptidyl-Peptidase IV InhibitorsGlucagon-Like Peptide-1 Receptor AgonistsHypoglycemic Agents

Identifiers

PMID39283612
PMCPMC11406452

What OpenQuestion holds

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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 OpenQuestion graph.