Evidence map›Paper›PMID 41477519›Full record

ArticleCardiology plus

Advancing cardio-oncology: precision-guided cardiovascular care for oncology patients.

Jennifer E Liu

Abstract read
In one paragraph

Article in Cardiology plus. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
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.

Jennifer E LiuDepartment of Internal Medicine, Cardiology Service, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardio-oncology, an emerging subspecialty at the intersection of cardiology and oncology, addresses the growing cardiovascular burden among cancer patients and survivors. Advances in cancer therapies, including anthracyclines, immune checkpoint inhibitors (ICIs), chimeric antigen receptor (CAR) T-cell therapy, and targeted tyrosine kinase inhibitors (TKIs), have improved survival but also introduced diverse cardiovascular complications such as heart failure, arrhythmias, hypertension, and ischemia. These complications are influenced by traditional cardiovascular risk factors, aging, and comorbidities, underscoring the need for precision-guided risk assessment and management. Recent innovations in cardio-oncology focus on personalized risk stratification using clinical risk models, genetic profiling, and emerging biomarkers such as high-sensitivity troponin, natriuretic peptides, and microRNAs. Advanced imaging modalities, including echocardiography, global longitudinal strain analysis, and cardiac magnetic resonance, are central to early detection of subclinical injury, with artificial intelligence (AI) increasingly enabling real-time, individualized surveillance. The integration of novel biological insights, such as clonal hematopoiesis of indeterminate potential, further refines risk prediction and mechanistic understanding. Effective cardio-oncology care requires proactive, multidisciplinary strategies that span the continuum from treatment initiation to survivorship, emphasizing longitudinal monitoring, cardioprotective interventions, and patient-centered care. Despite progress, challenges remain in standardizing predictive models, validating biomarkers, and ensuring equitable access to specialized services. Looking forward, the convergence of AI-driven imaging, multi-omic data, and precision therapeutics promises to transform cardio-oncology from reactive management to proactive, personalized care, optimizing both cancer outcomes and long-term cardiovascular health.

Indexed as

BiomarkersCancer survivorshipCardio-oncologyCardiotoxicityPrecision medicine

Identifiers

PMID41477519
PMCPMC12753144

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.