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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Detalles Bibliográficos
Autores principales: Lagerweij, G. R., Moons, K. G. M., de Wit, G. A., Koffijberg, H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
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

Internet

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

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