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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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| Опубликовано в: : | Arthritis Res Ther |
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| Главные авторы: | , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2017
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5433155/ https://ncbi.nlm.nih.gov/pubmed/28511690 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13075-017-1291-3 |
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