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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...
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| Publicado no: | PLoS One |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6326414/ https://ncbi.nlm.nih.gov/pubmed/30625177 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0209314 |
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