Evidence map›Paper›PMID 38766425›Full record

ArticleWorld journal of diabetes2024

Cardioprotective effects of glucagon-like peptide 1 receptor agonists in heart failure: Myth or truth?

Lorenzo Nesti, Domenico Trico

Abstract readEditorial
In one paragraph

Article in World journal of diabetes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
  4. Review
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  7. Article
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  13. Targeting Obesity for Heart Failure.European cardiology · 2025
    Review
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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

2 authors.

Lorenzo NestiDepartment of Clinical and Experimental Medicine, University of Pisa, Pisa 56126, Italy.
Domenico TricoDepartment of Clinical and Experimental Medicine, University of Pisa, Pisa 56126, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Therapy with glucagon-like peptide 1 (GLP1) receptor agonists has raised great interest for its beneficial cardiovascular effects in preventing atherosclerosis and heart failure-related outcomes. However, while evidence about atherosclerosis consistently suggests a cardioprotective potential with class effect, controversies remain on its impact on heart failure. GLP1 receptor agonists appear to prevent hospitalization for new-onset heart failure and reduce symptoms in heart failure with preserved ejection fraction (as demonstrated by the recent STEP-HFpEF Trial). Still, GLP1 agonism has resulted in neutral or even harmful effects in patients with established heart failure with reduced ejection fraction (the LIVE trial). GLP1 receptor agonists benefit the cardiovascular system indirectly through their marked metabolic effects (improved weight management, glycemic control, blood pressure, systemic and tissue inflammation), while direct effects on the heart have been questioned. Nonetheless, weight loss alone achieved through GLP1 receptor agonists has failed in improving left ventricular functions. Tirzepatide is a dual agonist of GLP1 and glucose-dependent insulinotropic polypeptide, representing an innovative treatment option in diabetes with a major impact on weight loss and promising cardiovascular benefits. Whether this class of therapies is going to change the history of heart failure is an ongoing debate.

Indexed as

AtherosclerosisCardiovascular systemGlucagon-like peptide-1Heart failureLeftTirzepatideType 2 diabetesVentricular function

Identifiers

PMID38766425
PMCPMC11099368

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.