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For: Currier LL, Froehlich PJ, Carow SD, McAndrew RK, Cliborne AV, Boyles RE, Mansfield LT, Wainner RS. Development of a clinical prediction rule to identify patients with knee pain and clinical evidence of knee osteoarthritis who demonstrate a favorable short-term response to hip mobilization. Phys Ther 2007;87:1106-19. [PMID: 17609333 DOI: 10.2522/ptj.20060066] [Cited by in Crossref: 52] [Cited by in F6Publishing: 32] [Article Influence: 3.5] [Reference Citation Analysis]
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16 Stanton TR, Hancock MJ, Maher CG, Koes BW. Critical appraisal of clinical prediction rules that aim to optimize treatment selection for musculoskeletal conditions. Phys Ther 2010;90:843-54. [PMID: 20413577 DOI: 10.2522/ptj.20090233] [Cited by in Crossref: 71] [Cited by in F6Publishing: 50] [Article Influence: 5.9] [Reference Citation Analysis]
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22 Brantingham JW, Globe GA, Cassa TK, Globe D, de Luca K, Pollard H, Lee F, Bates C, Jensen M, Mayer S, Korporaal C. A Single-Group Pretest Posttest Design Using Full Kinetic Chain Manipulative Therapy With Rehabilitation in the Treatment of 18 Patients With Hip Osteoarthritis. Journal of Manipulative and Physiological Therapeutics 2010;33:445-57. [DOI: 10.1016/j.jmpt.2010.06.005] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 0.8] [Reference Citation Analysis]
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24 Lutz N, Zuckerman S, Seel F, Ott-Senn Y, Rogan S, Rasch H. A clinical test examination procedure to identify knee compartment overloading: A reliability and validity study using SPECT-CT as reference. J Bodyw Mov Ther 2021;27:500-6. [PMID: 34391278 DOI: 10.1016/j.jbmt.2021.05.017] [Reference Citation Analysis]
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26 Cook CE. Potential pitfalls of clinical prediction rules. J Man Manip Ther 2008;16:69-71. [PMID: 19119389 DOI: 10.1179/106698108790818477] [Cited by in Crossref: 33] [Cited by in F6Publishing: 23] [Article Influence: 3.0] [Reference Citation Analysis]
27 Tuttle N. Is it reasonable to use an individual patient's progress after treatment as a guide to ongoing clinical reasoning? J Manipulative Physiol Ther 2009;32:396-403. [PMID: 19539124 DOI: 10.1016/j.jmpt.2009.04.002] [Cited by in Crossref: 24] [Cited by in F6Publishing: 19] [Article Influence: 1.8] [Reference Citation Analysis]
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29 Maggioni S, Melendez-Calderon A, van Asseldonk E, Klamroth-Marganska V, Lünenburger L, Riener R, van der Kooij H. Robot-aided assessment of lower extremity functions: a review. J Neuroeng Rehabil 2016;13:72. [PMID: 27485106 DOI: 10.1186/s12984-016-0180-3] [Cited by in Crossref: 38] [Cited by in F6Publishing: 21] [Article Influence: 6.3] [Reference Citation Analysis]
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31 Lubetzky-vilnai A, Ciol M, Mccoy SW. Statistical Analysis of Clinical Prediction Rules for Rehabilitation Interventions: Current State of the Literature. Archives of Physical Medicine and Rehabilitation 2014;95:188-96. [DOI: 10.1016/j.apmr.2013.08.242] [Cited by in Crossref: 24] [Cited by in F6Publishing: 16] [Article Influence: 3.0] [Reference Citation Analysis]
32 Beirer M, Fiedler N, Huber S, Schmitt-Sody M, Lorenz S, Biberthaler P, Kirchhoff C. The Munich Knee Questionnaire: Development and Validation of a New Patient-Reported Outcome Measurement Tool for Knee Disorders. Arthroscopy 2015;31:1522-9. [PMID: 25882181 DOI: 10.1016/j.arthro.2015.02.026] [Cited by in Crossref: 13] [Cited by in F6Publishing: 11] [Article Influence: 1.9] [Reference Citation Analysis]