# Risk prediction models for incident heart failure: a systematic review and meta-analysis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/risk-prediction-models-for-incident-heart-failure-a-systematic-review-and-meta/

## Facts

| Field | Value |
| --- | --- |
| Author Names | José Antonio Navarro,Barbara S. Doumouras,William Douglas,Paul Tieu,Veronica Chan,Tsz Hin Alexander Lau,David Bobrowski,Clarissa Yu,Chang (Nancy) Wang,Mohamed A. Adam,Joshua G Lee,Jennifer E Ho,Daniel Levy,Husam Abdel-Qadir,Heather Ross,Farid Foroutan |
| Citations | 0 |
| DOI | 10.1093/eurheartj/ehae666.889 |
| Fields | Health Professions,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4403817230 |
| PMID | 42009574 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Tsz Hin Alexander Lau](https://scholariq.org/researchers/tsz-hin-alexander-lau/)

## Paper journal

- [European Heart Journal](https://scholariq.org/journals/european-heart-journal/)

## Paper primary topic

- [Heart Failure Treatment and Management](https://scholariq.org/topics/heart-failure-treatment-and-management/)

## Paper topics

- [Heart Failure Treatment and Management](https://scholariq.org/topics/heart-failure-treatment-and-management/)
- [GDF15 and Related Biomarkers](https://scholariq.org/topics/gdf15-and-related-biomarkers/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.