Evidence mapPaperPMID 38692395Full record

ArticleGastroenterology2024

Association of GLP-1 Receptor Agonists and Hepatocellular Carcinoma Incidence and Hepatic Decompensation in Patients With Type 2 Diabetes.

Lindsey Wang, Nathan A Berger, David C Kaelber, Rong Xu

Open access · greenAbstract read
In one paragraph

Article in Gastroenterology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 8 pooled it
24.3field-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

70 citing papers in PubMed, 8 syntheses or guidelines pooled it, 104 citations in OpenAlex.

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10 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

4 authors at 1 institution in 1 country.

Lindsey WangCenter for Science, Health, and Society, Case Western Reserve University School of Medicine, Cleveland, Ohio.
Nathan A BergerCenter for Science, Health, and Society, Case Western Reserve University School of Medicine, Cleveland, Ohio; Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio. Electronic address: nab@case.edu.
David C KaelberCenter for Clinical Informatics Research and Education, Cleveland, Ohio.
Rong XuCase Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio; Center for Artificial Intelligence in Drug Discovery, Case Western Reserve University School of Medicine, Cleveland, Ohio. Electronic address: rxx@case.edu.
Case Western Reserve University · US

Funding

TUMOR METABOLISM PROGRAMP30CA043703 · CASE WESTERN RESERVE UNIVERSITY · 1987 to 2025
$28.4M
Clinical and Translational Science Collaborative of Northern Ohio, Catalyzing Linkages for Everyone's Health (CLE Health)UM1TR004528 · CASE WESTERN RESERVE UNIVERSITY · 2025 to 2025
$7.9M
Case CCC Youth Engaged in Science, 09/01/2022-08/31/2027R25CA221718 · CASE WESTERN RESERVE UNIVERSITY · 2025 to 2025
$416k
NCATS NIH HHS UM1 TR004528NCI NIH HHS P30 CA043703NCI NIH HHS R25 CA221718NIAAA NIH HHS R01 AA029831NIA NIH HHS R01 AG057557NIA NIH HHS R01 AG061388NIA NIH HHS R56 AG062272NICHD NIH HHS DP2 HD084068
6 · The paper itself

Abstract

BACKGROUND &

aimsHepatocellular carcinoma (HCC) is a leading cause of cancer death. HCC is preventable with about 70% of HCC attributable to modifiable risk factors. Glucagon-like peptide-1 receptor agonists (GLP-1RAs), Food and Drug Administration-approved medications for treating type 2 diabetes mellitus (T2DM), have pleiotropic effects on counteracting risk factors for HCC. Here we evaluate the association of GLP-1RAs with incident HCC risk in a real-world population.

methodsThis retrospective cohort included 1,890,020 patients with a diagnosis of T2DM who were prescribed GLP-1RAs or other non-GLP-1RA anti-diabetes medications and had no prior diagnosis of HCC. Incident (first-time) diagnosis of HCC and hepatic decompensating events during a 5-year follow-up was compared between cohorts of patients prescribed GLP-1 RAs vs other anti-diabetes medications. Time-to-first-event analysis was performed using Kaplan-Meier survival analysis with hazard ratio and 95% confidence interval calculated.

resultsGLP-1RAs were associated with a lower risk of incident HCC with hazard ratio of 0.20 [0.14-0.31], 0.39 [0.21-0.69], 0.63 [0.26-1.50] compared with insulin, sulfonylureas, and metformin, respectively. GLP-1RAs were associated with a significantly lower risk of hepatic decompensation compared with 6 other anti-diabetes medications. Reduced risks were observed in patients without and with different stages of fatty liver diseases, with more profound effects in patients without liver diseases. Similar findings were observed in patients with and without obesity and alcohol or tobacco use disorders. GLP-1RA combination therapies were associated with decreased risk for HCC and hepatic decompensations compared with monotherapies.

conclusionsGLP-1RAs were associated with a reduced risk of incident HCC and hepatic decompensation compared with other anti-diabetes medications in patients with T2DM. These findings provide supporting evidence for future studies to investigate the underlying mechanisms and their clinical use.

Indexed as

Carcinoma, HepatocellularDiabetes Mellitus, Type 2Glucagon-Like Peptide-1 Receptor AgonistsLiver FailureLiver NeoplasmsAgedFemaleHumansIncidenceMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsTime FactorsGlucagon-Like Peptide-1 Receptor AgonistsCancer PreventionGlucagon-Like Peptide-1 Receptor AgonistsHepatocellular CarcinomaReal-World EvidenceType 2 Diabetes Mellitus

Identifiers

PMID38692395
PMCPMC12294230
OpenAlexW4396231664

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.