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The development and validation of a multivariable model to predict whether patients referred for total knee replacement are suitable surgical candidates at the time of initial consultation
Author(s) -
Laura Churchill,
Samuel J. Malian,
Bert M. Chesworth,
Dianne Bryant,
Steven J. MacDonald,
Jacquelyn D. Marsh,
J. Robert Giffin
Publication year - 2016
Publication title -
canadian journal of surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.609
H-Index - 64
eISSN - 1488-2310
pISSN - 0008-428X
DOI - 10.1503/cjs.004316
Subject(s) - medicine , logistic regression , total knee replacement , orthopedic surgery , osteoarthritis , referral , physical therapy , joint replacement , multivariate analysis , arthroplasty , surgery , family medicine , alternative medicine , pathology
In previous studies, 50%-70% of patients referred to orthopedic surgeons for total knee replacement (TKR) were not surgical candidates at the time of initial assessment. The purpose of our study was to identify and cross-validate patient self-reported predictors of suitability for TKR and to determine the clinical utility of a predictive model to guide the timing and appropriateness of referral to a surgeon.

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