Evidence map›Paper›PMID 42681697›Full record

ArticleCardio-oncology (London, England)2026

The growing need for heart failure specific risk prediction models and standardized care pathways in patients with cancer.

Arianne Clare Agdamag, Wilson Tang

Abstract readLetter
In one paragraph

Article in Cardio-oncology (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Arianne Clare AgdamagDepartment of Cardiovascular Medicine, Heart, Vascular, and Thoracic Institute, Cleveland Clinic, 9500 Euclid Avenue, J3-4, Cleveland, Ohio, 44195, USA. agdamaa@ccf.org.
Wilson TangDepartment of Cardiovascular Medicine, Heart, Vascular, and Thoracic Institute, Cleveland Clinic, 9500 Euclid Avenue, J3-4, Cleveland, Ohio, 44195, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease remains the leading cause of morbidity and mortality among cancer survivors. Multiple cardiovascular risk prediction models exist to provide risk stratification for patients who are about to undergo cancer treatment. Current risk models have limited guidance on how to prevent, modify, and monitor for heart failure (HF) particularly heart failure with preserved ejection fraction (HFpEF). Cancer survivors are at an elevated risk for HFpEF due to the development of cardiometabolic syndrome associated with aging and long-term survival. Future efforts should focus on novel biomarkers in assessing HF, development of large, multicenter databases that can be used to validate models across diverse populations, and defining clear treatment pathways once risk is identified. A more comprehensive and inclusive risk stratification model with pragmatic approaches to clinical care will allow for more widespread use among cardiologists and oncologists.

Indexed as

CancerCardio oncologyHeart failureRisk predictionRisk scoreSurvivorship

Identifiers

PMID42681697
PMCPMC13531930

What OpenQuestion holds

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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.