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

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

Abstract 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...

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Bibliographic Details
Main Authors: Michael P. LaValley, Grace H. Lo, Lori Lyn Price, Jeffrey B. Driban, Charles B. Eaton, Timothy E. McAlindon
Format: Article
Language:English
Published: BMC 2017-05-01
Series:Arthritis Research & Therapy
Subjects:
Arthritis
Calibration
Discrimination
Joint space loss
Logistic regression
ROC curve
Online Access:http://link.springer.com/article/10.1186/s13075-017-1291-3

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http://link.springer.com/article/10.1186/s13075-017-1291-3

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