Predicting Incident Heart Failure: How Well Do Risk Models Validate?
ABSTRACT:
Study at a glance
- Publication type: Systematic review and meta-analysis
- What it examined: This systematic review evaluated the performance of prediction models for incident heart failure in validation studies.
- Key point: The authors searched Medline and Embase for studies from 2014 to 2025, pooled discrimination measures where possible and assessed calibration descriptively. They also used a risk-of-bias tool and GRADE to judge certainty.
Why it matters
A prediction model can look promising at development but still require robust external validation and calibration before it is relied upon in a different population or setting.
Source
Navarro JM, et al. Risk prediction models for incident heart failure: a systematic review and meta-analysis. Heart. 2026. PMID: 42009574. View the PubMed record.
This educational summary is based on the cited publication and is not medical advice. Clinical decisions should be made with an appropriately qualified healthcare professional.
