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Which Prognostic Factors for Low Back Pain Are Generic Predictors of Outcome Across a Range of Recovery Domains?
Author(s) -
Chad Cook,
Kenneth Learman,
Bryan O’Halloran,
Christopher Showalter,
Vincent Kabbaz,
Adam P. Goode,
Alexis A. Wright
Publication year - 2012
Publication title -
physical therapy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.998
H-Index - 150
eISSN - 1538-6724
pISSN - 0031-9023
DOI - 10.2522/ptj.20120216
Subject(s) - logistic regression , medicine , physical therapy , clinical prediction rule , outcome (game theory) , prognostic variable , stepwise regression , regression analysis , predictive modelling , poisson regression , irritability , low back pain , statistics , population , multivariate analysis , alternative medicine , mathematics , environmental health , mathematical economics , menopause , pathology
Recovery from low back pain (LBP) is multidimensional and requires the use of multiple-response (outcome) measures to fully reflect these many dimensions. Predictive prognostic variables that are present or stable in all or most predictive models that use different outcome measures could be considered "universal" prognostic variables.

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