Literature DB >> 20413577

Critical appraisal of clinical prediction rules that aim to optimize treatment selection for musculoskeletal conditions.

Tasha R Stanton1, Mark J Hancock, Christopher G Maher, Bart W Koes.   

Abstract

BACKGROUND: Clinical prediction rules (CPRs) for treatment selection in musculoskeletal conditions have become increasingly popular.
PURPOSE: The purposes of this review are: (1) to critically appraise studies evaluating CPRs and (2) to consider the clinical utility and stage of development of each CPR. DATA SOURCES: Pertinent databases were searched up to April 2009. Studies aiming to develop or evaluate a CPR for treatment response in musculoskeletal conditions were included. Two independent reviewers assessed eligibility and extracted methodological data, stage of development, and effect size information. STUDY SELECTION/DATA EXTRACTION AND SYNTHESIS: Eighteen studies, evaluating 15 separate CPRs, were included. Fourteen CPRs were at the derivation stage, and all CPRs had been evaluated using a single-arm trial design, thus it is not possible to determine whether the CPRs identify prognosis (regardless of treatment) or specifically response to treatment. The CPR at the validation stage investigated spinal manipulative therapy (SMT) for low back pain and had been evaluated in 2 separate well-conducted randomized controlled trials. The first trial demonstrated a clinically meaningful effect of the SMT CPR; the additional effect from SMT in patients "positive-on-the-rule" was 15 Oswestry disability units at week 1 and 9 units at week 4. The second trial showed that the CPR did not generalize to a different clinical setting, including a modified treatment. LIMITATIONS: Due to differences in methods of reporting and journal publication restraints (eg, word count restrictions), some quality assessment items may have been completed in the included studies, but not captured in this review.
CONCLUSIONS: There is, at present, little evidence that CPRs can be used to predict effects of treatment for musculoskeletal conditions. The principal problem is that most studies use designs that cannot differentiate between predictors of response to treatment and general predictors of outcome. Only 1 CPR has been evaluated within an RCT designed to predict response to treatment. Validation of these rules is imperative to allow clinical application.

Entities:  

Mesh:

Year:  2010        PMID: 20413577     DOI: 10.2522/ptj.20090233

Source DB:  PubMed          Journal:  Phys Ther        ISSN: 0031-9023


  17 in total

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Journal:  J Can Chiropr Assoc       Date:  2014-06

2.  Can we predict response to the McKenzie method in patients with acute low back pain? A secondary analysis of a randomized controlled trial.

Authors:  Charles Sheets; Luciana A C Machado; Mark Hancock; Chris Maher
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3.  Prediction of pain outcomes in a randomized controlled trial of dose-response of spinal manipulation for the care of chronic low back pain.

Authors:  Darcy Vavrek; Mitchell Haas; Moni Blazej Neradilek; Nayak Polissar
Journal:  BMC Musculoskelet Disord       Date:  2015-08-19       Impact factor: 2.362

4.  Effectiveness of mechanical diagnosis and therapy in patients with back pain who meet a clinical prediction rule for spinal manipulation.

Authors:  Ron Schenk; Carol Dionne; Corey Simon; Robert Johnson
Journal:  J Man Manip Ther       Date:  2012-02

5.  CLINICAL PROGNOSTIC FACTORS FOR PATIENTS WITH ANTERIOR KNEE PAIN IN PHYSICAL THERAPY; A SYSTEMATIC REVIEW.

Authors:  A M Panken; M W Heymans; L van Oort; A P Verhagen
Journal:  Int J Sports Phys Ther       Date:  2015-12

6.  Clinical decision rules, spinal pain classification and prediction of treatment outcome: A discussion of recent reports in the rehabilitation literature.

Authors:  Jeffrey J Hebert; Julie M Fritz
Journal:  Chiropr Man Therap       Date:  2012-06-22

7.  Prediction of persistent shoulder pain in general practice: comparing clinical consensus from a Delphi procedure with a statistical scoring system.

Authors:  David Vergouw; Martijn W Heymans; Henrica C W de Vet; Daniëlle A W M van der Windt; Henriëtte E van der Horst
Journal:  BMC Fam Pract       Date:  2011-06-30       Impact factor: 2.497

8.  Predicting a clinically important outcome in patients with low back pain following McKenzie therapy or spinal manipulation: a stratified analysis in a randomized controlled trial.

Authors:  Tom Petersen; Robin Christensen; Carsten Juhl
Journal:  BMC Musculoskelet Disord       Date:  2015-04-01       Impact factor: 2.362

9.  Indicating spinal joint mobilisations or manipulations in patients with neck or low-back pain: protocol of an inter-examiner reliability study among manual therapists.

Authors:  Emiel van Trijffel; Robert Lindeboom; Patrick Mm Bossuyt; Maarten A Schmitt; Cees Lucas; Bart W Koes; Rob Ab Oostendorp
Journal:  Chiropr Man Therap       Date:  2014-06-20

Review 10.  Outcome predictors for conservative patellofemoral pain management: a systematic review and meta-analysis.

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Journal:  Sports Med       Date:  2014-12       Impact factor: 11.136

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