ReviewCurrent heart failure reports2026
From Cardioprotection to Trial Design: Rethinking Cardiac Safety in Oncology.
Review in Current heart failure reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewCardio-oncology has emerged as a pivotal discipline aimed at preserving cardiovascular health in patients undergoing contemporary cancer therapies. Despite growing awareness of treatment-related cardiac injury, the evidence base supporting preventive strategies and standardized safety assessment remains fragmented. This review critically appraises randomized controlled trials evaluating pharmacological and non-pharmacological interventions for the prevention of cancer therapy-related cardiac dysfunction. In parallel, we examine how cardiovascular events are monitored, defined, and reported in major oncology trials, with particular emphasis on patient selection criteria and the use of structured surveillance protocols. RECENT
findingsAcross drug classes repurposed from heart failure (HF) prevention and treatment, including neurohormonal antagonists, angiotensin receptor-neprilysin inhibition, lipid-lowering therapies, as well as exercise-based interventions, randomized evidence has demonstrated modest and inconsistent benefits. Reported effects are largely confined to subclinical alterations, such as changes in left ventricular systolic function, myocardial deformation parameters, or circulating cardiac biomarkers. By contrast, convincing reductions in clinically meaningful outcomes, including overt HF, treatment interruption, or cardiovascular mortality, remain limited. Concurrently, oncology trials frequently exhibit heterogeneous cardiovascular event definitions, incomplete safety reporting, and systematic exclusion of patients with pre-existing cardiac disease, thereby constraining external validity and obscuring the true burden of cardiotoxicity and competing cardiovascular risks. Advancing the field will require a paradigm shift toward individualized, risk-enriched prevention strategies anchored in clinically relevant endpoints. Broader inclusion of patients with stable cardiovascular comorbidities, managed under structured specialist supervision, alongside standardized frameworks for cardiovascular safety monitoring and reporting, is essential. Emerging artificial intelligence, as enabled tools applied to cardiac imaging, electrocardiography, and remote monitoring offer a promising opportunity to harmonize early detection of cardiotoxicity across trial sites and refine phenotyping of treatment-related cardiac injury. Integrating these elements into future trial design will be critical to ensure that therapeutic progress in oncology is not undermined by preventable cardiovascular harm.
Indexed as
Identifiers
42384221What Socratic holds
Registered trials
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.