ReviewCurrent oncology reports2023
Risk Prediction Models for Myocardial Dysfunction and Heart Failure in Patients with Current or Prior Cancer.
Review in Current oncology reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- [Research progress on the diagnosis of pediatric heart failure].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2025Review
- Development and validation of a nomogram prediction model for factors influencingFrontiers in endocrinology · 2025Article
- Improving quality and quantity of life for childhood cancer survivors globally in the twenty-first century.Nature reviews. Clinical oncology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewCancer patients are at risk for treatment-related myocardial dysfunction and heart failure during or after treatment. Risk prediction models have the potential to play an important role in identifying patients at high or low risk in order to take appropriate measures. Here, we review their current role. RECENT
findingsMore and more risk prediction models are currently being developed. Unfortunately, they vary widely in their ability to identify patients and survivors at risk for myocardial dysfunction or heart failure, from very poor to strong. Part of this variation might be explained by methodological limitations of the models, but due to a lack of reporting it is not possible to completely assess this. There lies great potential in the improvement of the quality and the use of risk prediction models to inform patients and clinicians on the absolute risk of cardiac events in order to guide care.
Indexed as
Identifiers
36787043What OpenQuestion 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 OpenQuestion graph.