Cardio-oncology & otherMeta-analysis
Cardiovascular risk–prediction models in cancer survivors: a meta-analysis
- Systematic review and meta-analysis
Authors' conclusion
In summary, these findings provide a comprehensive overview of available cardiovascular risk-prediction tools and may assist clinicians in selecting appropriate models for primary cardiovascular prevention in cancer survivors
Study context
- Population
- Adult cancer survivors
- Participants
- 983,438 survivors · 34 studies
- Comparison
- General-population vs cancer-specific CV risk-prediction models
Pooled result
As reported in the abstract
Discrimination of CV risk-prediction models (27 unique risk scores)
Model-outcome evaluations with acceptable-to-good discrimination (AUC ≥0.70)
Approximately one-third
General-population models acceptable-to-good for vascular events
4
General-population models acceptable for CTRCD/HF
3
General-population models acceptable for arrhythmias
2
Further pooled results
Model performance by cancer type (subgroup)
- More consistent discrimination in breast cancer cohorts; substantially poorer performance in haematologic malignancies
Original publication
Cardiovascular risk–prediction models in cancer survivors: a meta-analysis. Eur Heart J. Published 28 July 2026. doi:10.1093/eurheartj/ehag562
Summarised from the published abstract; every number is checked against it