Evidence map›Paper›PMID 42749903›Full record

ReviewNature cardiovascular research2026

Risk-guided cardioprotection in cardio-oncology.

Kai Yi Wu, Dae Hyun Lee, Ivy S Han, Laura Barr, Krithika Kuppusamy, Bonnie Ky

Abstract readReview
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In one paragraph

Review in Nature cardiovascular research, 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

6 authors.

Kai Yi WuDivision of Cardiology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Dae Hyun LeeDivision of Cardiology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0001-8141-0404
Ivy S HanDivision of Cardiology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Laura BarrDivision of Cardiology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Krithika KuppusamyDivision of Cardiology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Bonnie KyDivision of Cardiology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. bonnie.ky@pennmedicine.upenn.edu.ORCID http://orcid.org/0000-0002-6628-9981

Funding

American Heart Association (American Heart Association, Inc.) 24CDA1271837
6 · The paper itself

Abstract

The cardiotoxic effects of cancer therapies are well established, and the most clinically relevant consequences include heart failure and cardiomyopathy. As such, efforts have been focused on developing strategies to attenuate the risk of cardiovascular dysfunction in patients receiving potentially cardiotoxic therapies. Randomized trials to identify cardioprotective approaches have largely selected patients on the basis of cancer type and treatment regimen, regardless of baseline or dynamic changes in cardiovascular risk. However, contemporary evidence suggests that this approach results in modest to no significant benefit on subclinical or clinical measures of cardiotoxicity. We hypothesize that a risk-guided cardioprotection approach can enable the delivery of targeted therapy to those who may derive the greatest cardiovascular benefit, avoiding unnecessary treatment of lower-risk populations. Here, we review the contemporary literature on primary cardioprotection and present recent studies in cardio-oncology focused on risk-guided cardioprotection to support the implementation of more tailored strategies.

Identifiers

What OpenQuestion holds

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Registered trials

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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.