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Interpretation of CVD risk predictions in clinical practice: Mission impossible?
BACKGROUND: Cardiovascular disease (CVD) risk prediction models are often used to identify individuals at high risk of CVD events. Providing preventive treatment to these individuals may then reduce the CVD burden at population level. However, different prediction models may predict different (sets...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6326414/ https://www.ncbi.nlm.nih.gov/pubmed/30625177 http://dx.doi.org/10.1371/journal.pone.0209314 |