Evidence map›Paper›PMID 41095837›Full record

ReviewJournal of clinical medicine2025

GLP-1 Agonists in Cardiovascular Diseases: Mechanisms, Clinical Evidence, and Emerging Therapies.

Han-Mo Yang

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

1 author.

Han-Mo YangDivision of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul 03080, Republic of Korea.ORCID 0000-0002-1548-2351

Funding

Ministry of Health & Welfare, Republic of Korea. RS-2025-02263992
6 · The paper itself

Abstract

Glucagon-like peptide-1 (GLP-1) receptor agonists now serve as therapeutic agents for cardiovascular diseases (CVDs) beyond their original use for treating type 2 diabetes mellitus (T2DM). This review combines molecular mechanisms with clinical evidence to demonstrate how GLP-1 agonists help lower cardiovascular risk for conditions, including atherosclerosis, heart failure, stroke, and vascular dementia. These agents produce multiple beneficial effects, which include anti-inflammatory action along with anti-atherogenic effects, endothelial-protective benefits, and cardioprotective actions to minimize major adverse cardiovascular events (MACEs). GLP-1 agonists achieved substantial reductions in myocardial infarction, stroke, cardiovascular mortality, and heart failure events according to major cardiovascular outcome trials (CVOTs). Recent research, notably the pivotal SELECT trial, has confirmed their suitability for non-diabetic subjects with obesity and established CVD. New drug delivery methods and dual GLP-1/glucose-dependent insulinotropic polypeptide (GIP) agonists demonstrate potent efficacy, with tirzepatide showing significant MACE reduction in its own CVOT. However, significant challenges related to high cost, long-term safety uncertainties, and implementation barriers remain, requiring a balanced perspective. The review presents both mechanistic data and clinical evidence to demonstrate how GLP-1 agonists function as vital cardiovascular medications and outlines future research directions to address critical evidence gaps and maximize their therapeutic effectiveness.

Indexed as

atherosclerosis, heart failurecardiovascular diseasesdual GLP-1/GIP agonists, cardiovascular outcome trials, inflammationGLP-1 receptor agonistsstroke, vascular dementiatype 2 diabetes

Identifiers

PMID41095837
PMCPMC12525426

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.