Beyond statistical association: Interpreting the clinical utility of biomarkers for incident heart failure prediction.
- DOI
- 10.1016/j.ijcrp.2026.200669
- Published
- 2026 Sep
- Container
- International journal of cardiology. Cardiovascular risk and prevention
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1016/j.ijcrp.2026.200669,
title = {Beyond statistical association: Interpreting the clinical utility of biomarkers for incident heart failure prediction.},
author = {Tang Y and Chen H},
year = {2026},
journal = {International journal of cardiology. Cardiovascular risk and prevention},
doi = {10.1016/j.ijcrp.2026.200669},
url = {https://doi.org/10.1016/j.ijcrp.2026.200669}
}RIS
TY - JOUR TI - Beyond statistical association: Interpreting the clinical utility of biomarkers for incident heart failure prediction. AU - Tang Y AU - Chen H PY - 2026 JO - International journal of cardiology. Cardiovascular risk and prevention DO - 10.1016/j.ijcrp.2026.200669 UR - https://doi.org/10.1016/j.ijcrp.2026.200669 ER -
APA
Y, T., & H, C. (2026). Beyond statistical association: Interpreting the clinical utility of biomarkers for incident heart failure prediction.. International journal of cardiology. Cardiovascular risk and prevention. https://doi.org/10.1016/j.ijcrp.2026.200669
Source records
- pubmed · retrieved 2026-09-26T06:28:57.658Z