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Extra info for Clinical Prediction Rules: A Physical Therapy Reference Manual (Jone's and Bartlett's Contemporary Issues in Physical Therapy and Rehabilitation Medicine)

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11 to identify patients with acute low back pain (LBP) who will benefit from lumbar manipulation. The authors found that patients who possess four or more of the above variables are likely to benefit from lumbar manipulation. CPRs use statistical models to identify the complex interaction of predictive variables in clinical practice. , ordering of radiographs). 7, 12 There are three distinct types of CPRs: diagnostic, prognostic, and interven­ tional. Diagnostic CPRs (DCPRs) help clinicians determine the probability that a patient has a particular condition.

They predict a small portion of the variance in the outcome measure) suggests that there may be other variables that could also contribute to prediction of the outcome. 10 Similar to the deter­ mination of sample size, the level of acceptable reliability may vary depending upon the CPR and the condition being studied. For example, the reliability of the tests and measures required to diagnose a potentially fatal pulmonary embolism must be very high. On the contrary, the reliability of a measure to determine who will bene­ fit from lumbar stabilization can be lower as the potential for harmful consequences is much less.

1989;10:407-415. 17. Fritz ]M, Irrgang J] . A comparison of a modified Oswestry low back pain disability pain ques­ tionnaire and the Quebec back pain disability scale. her. 2001 ;81 :776-788. 18. Hancock M, Herbert RD, Maher CG . A guide t o i nterpretation of studies investigating sub­ groups of responders to physical therapy interventions. her. 2009;89:698-704. 19. Concato ], Feinstein AR, Holford TR. The risk of determ i n i ng risk with multivariate methods. Ann Int Med. 1993; 1 1 8:201-210.

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