Literature DB >> 19771197

The comparative prognostic value of directional preference and centralization: a useful tool for front-line clinicians?

Audrey Long, Stephen May, Tak Fung.   

Abstract

A large number of prognostic factors have been associated with recovery from an episode of back pain, and much emphasis has been placed on psychosocial prognostic factors. The large number of prognostic factors and the lack of comparative analysis of different factors make use of these difficult in clinical practice. The aim of this study was to evaluate the comparative usefulness of a range of factors to predict outcome using data from a randomized controlled trial (RCT) in which 312 patients with sub-acute to chronic back pain received a mechanical evaluation and were sub-grouped based on the presence or absence of directional preference (DP). Patients were then randomized to treatment that was matched or unmatched to that DP. Patients with a minimal reduction of 30% in Roland-Morris Disability Questionnaire (RMDQ) score were defined as the good outcome group. Seventeen baseline variables were entered into a step-wise logistic regression analysis for the ability to predict a good outcome. Of the patients, 84 met the good outcome criteria and had a mean RMDQ decrease of 58.2% (9.8 points) in 4 visits. Leg pain, work status, depression, pain location, chronicity, and treatment assignment were significant predictors of outcome in univariate analysis. Only leg bothersomeness rating and treatment assignment survived multivariate analysis. Subjects with DP/centralization who received matched treatment had a 7.8 times greater likelihood of a good outcome. Matching patients to their DP is a stronger predictor of outcome than a range of other biopsychosocial factors.

Entities:  

Keywords:  Centralization; McKenzie Method; Mechanical Low Back Pain; Multivariate Regression Analysis; Prognosis

Year:  2008        PMID: 19771197      PMCID: PMC2716154          DOI: 10.1179/106698108790818332

Source DB:  PubMed          Journal:  J Man Manip Ther        ISSN: 1066-9817


  42 in total

1.  The economic burden of back pain in the UK.

Authors:  N Maniadakis; A Gray
Journal:  Pain       Date:  2000-01       Impact factor: 6.961

2.  Do changes within a manual therapy treatment session predict between-session changes for patients with cervical spine pain?

Authors:  Neil Tuttle
Journal:  Aust J Physiother       Date:  2005

3.  Clinical course and prognostic factors in acute low back pain: patients consulting primary care for the first time.

Authors:  Margreth Grotle; Jens I Brox; Merit B Veierød; Bredo Glomsrød; Jan H Lønn; Nina K Vøllestad
Journal:  Spine (Phila Pa 1976)       Date:  2005-04-15       Impact factor: 3.468

4.  Predictors of return to work in patients sick listed for sub-acute low back pain: a 12-month follow-up study.

Authors:  Kjersti Storheim; Jens Ivar Brox; Inger Holm; Kari Bø
Journal:  J Rehabil Med       Date:  2005-11       Impact factor: 2.912

5.  A prospective follow-up study of low back pain in the community.

Authors:  R Waxman; A Tennant; P Helliwell
Journal:  Spine (Phila Pa 1976)       Date:  2000-08-15       Impact factor: 3.468

6.  Does it matter which exercise? A randomized control trial of exercise for low back pain.

Authors:  Audrey Long; Ron Donelson; Tak Fung
Journal:  Spine (Phila Pa 1976)       Date:  2004-12-01       Impact factor: 3.468

7.  Psychosocial variables in patients with (sub)acute low back pain: an inception cohort in primary care physical therapy in The Netherlands.

Authors:  Hans Heneweer; Geert Aufdemkampe; Maurits W van Tulder; Henri Kiers; Karel H Stappaerts; Luc Vanhees
Journal:  Spine (Phila Pa 1976)       Date:  2007-03-01       Impact factor: 3.468

8.  Prognostic indicators for acute low-back pain.

Authors:  M N Goertz
Journal:  Spine (Phila Pa 1976)       Date:  1990-12       Impact factor: 3.468

9.  Classification of low back pain in primary care: using "bothersomeness" to identify the most severe cases.

Authors:  Kate M Dunn; Peter R Croft
Journal:  Spine (Phila Pa 1976)       Date:  2005-08-15       Impact factor: 3.468

10.  Discriminant validity and relative precision for classifying patients with nonspecific neck and back pain by anatomic pain patterns.

Authors:  Mark Werneke; Dennis L Hart
Journal:  Spine (Phila Pa 1976)       Date:  2003-01-15       Impact factor: 3.468

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  12 in total

1.  Pain characteristic differences between subacute and chronic back pain.

Authors:  Mona Lisa Chanda; Matthew D Alvin; Thomas J Schnitzer; A Vania Apkarian
Journal:  J Pain       Date:  2011-04-15       Impact factor: 5.820

2.  Sub-group Classification of Low Back Related Leg Pain: Is this the Catalyst Needed for Other Challenging Conditions?

Authors:  Chad Cook
Journal:  J Man Manip Ther       Date:  2009

3.  Inter-examiner reliability of diplomats in the mechanical diagnosis and therapy system in assessing patients with shoulder pain.

Authors:  Afshin Heidar Abady; Richard Rosedale; Tom J Overend; Bert M Chesworth; Michael A Rotondi
Journal:  J Man Manip Ther       Date:  2014-11

4.  Prevalence of classification methods for patients with lumbar impairments using the McKenzie syndromes, pain pattern, manipulation, and stabilization clinical prediction rules.

Authors:  Mark W Werneke; Dennis Hart; Dave Oliver; Troy McGill; David Grigsby; Jason Ward; Jon Weinberg; William Oswald; Guillermo Cutrone
Journal:  J Man Manip Ther       Date:  2010-12

5.  Inter-rater reliability of a modified version of Delitto et al.'s classification-based system for low back pain: a pilot study.

Authors:  Adri T Apeldoorn; Hans van Helvoirt; Raymond W Ostelo; Hanneke Meihuizen; Steven J Kamper; Maurits W van Tulder; Henrica C W de Vet
Journal:  J Man Manip Ther       Date:  2016-05

6.  Low back pain.

Authors:  Anthony Delitto; Steven Z George; Linda Van Dillen; Julie M Whitman; Gwendolyn Sowa; Paul Shekelle; Thomas R Denninger; Joseph J Godges
Journal:  J Orthop Sports Phys Ther       Date:  2012-03-30       Impact factor: 4.751

7.  Predictors of failure to achieve minimal clinical important difference for pain and disability after mechanical diagnosis and therapy (MDT)-based multimodal rehabilitation for neck pain: a retrospective analysis of 4998 patients.

Authors:  Gautam M Shetty; Palak Vakil; Shikha Jain; Garima Anandani; C S Ram
Journal:  Eur Spine J       Date:  2022-03-13       Impact factor: 2.721

8.  Rapid resolution of chronic shoulder pain classified as derangement using the McKenzie method: a case series.

Authors:  Maria Corazon Aytona; Karlene Dudley
Journal:  J Man Manip Ther       Date:  2013-11

9.  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

10.  Application of the McKenzie system of Mechanical Diagnosis and Therapy (MDT) in patients with shoulder pain; a prospective longitudinal study.

Authors:  Afshin Heidar Abady; Richard Rosedale; Bert M Chesworth; Michael A Rotondi; Tom J Overend
Journal:  J Man Manip Ther       Date:  2017-04-25
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