A Clinical Prediction Rule To Identify Patients with Low Back Pain Most Likely To Benefit from Spinal Manipulation: A Validation Study

  1. Maj John D. Childs, PhD, PT;
  2. Julie M. Fritz, PhD, PT;
  3. Timothy W. Flynn, PhD, PT;
  4. James J. Irrgang, PhD, PT;
  5. Maj Kevin K. Johnson;
  6. Maj Guy R. Majkowski; and
  7. Anthony Delitto, PhD, PT
  1. From Wilford Hall Medical Center, Lackland Air Force Base, San Antonio, Texas; University of Pittsburgh, Pittsburgh, Pennsylvania; U.S. Army–Baylor University Graduate Program in Physical Therapy, Fort Sam Houston, Texas; Hill Air Force Base Medical Clinic, Ogden, Utah; and Luke Air Force Base Medical Clinic, Phoenix, Arizona.
    1. Figure 1. See and video for details. Reprinted from reference : Childs JD, Fritz JM, Piva SR, Erhard RE. Clinical decision making in the identification of patients likely to benefit from spinal manipulation: a traditional versus an evidence-based approach. J Orthop Sports Phys Ther. 2003;33:259-75, with permission of the Orthopaedic and Sports Physical Therapy Sections of the American Physical Therapy Association.
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        Figure 1. See and video for details. Reprinted from reference : Childs JD, Fritz JM, Piva SR, Erhard RE. Clinical decision making in the identification of patients likely to benefit from spinal manipulation: a traditional versus an evidence-based approach. J Orthop Sports Phys Ther. 2003;33:259-75, with permission of the Orthopaedic and Sports Physical Therapy Sections of the American Physical Therapy Association. Manipulative intervention used in developing and validating the spinal manipulation clinical prediction rule.Appendix 2Appendix 330
      • Figure 2.
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          Figure 2. Flow diagram for patient recruitment and randomization.
        • Figure 3. Lower scores represent less disability.
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            Figure 3. Lower scores represent less disability. Two-dimensional graphical representation of the 3-way clinical prediction rule × treatment group × time interaction for the Oswestry Disability Questionnaire (ODQ) score (P < 0.001).

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