Development of a clinical prediction algorithm for knee osteoarthritis structural progression in a cohort study: value of adding measurement of subchondral bone density

BACKGROUND: Risk prediction algorithms increase understanding of which patients are at greatest risk of a harmful outcome. Our goal was to create a clinically useful prediction algorithm for structural progression of knee osteoarthritis (OA), using medial joint space loss as a proxy; and to quantify...

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Detalles Bibliográficos
Autores principales: LaValley, Michael P., Lo, Grace H., Price, Lori Lyn, Driban, Jeffrey B., Eaton, Charles B., McAlindon, Timothy E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5433155/
https://www.ncbi.nlm.nih.gov/pubmed/28511690
http://dx.doi.org/10.1186/s13075-017-1291-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5433155/
https://www.ncbi.nlm.nih.gov/pubmed/28511690
http://dx.doi.org/10.1186/s13075-017-1291-3

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