Literature DB >> 9160470

A prospective study of centralization of lumbar and referred pain. A predictor of symptomatic discs and anular competence.

R Donelson1, C Aprill, R Medcalf, W Grant.   

Abstract

STUDY
DESIGN: The presence or absence of rapidly centralizing, peripheralizing, or abolishing low back and radiating pain, as identified during a McKenzie mechanical lumbar assessment of patients with chronic lumbar pain, was compared prospectively with discographic pain provocation and anular competency.
OBJECTIVES: To evaluate any relation between the responses of centralization and peripheralization with discographic findings. SUMMARY OF BACKGROUND DATA: Centralization of referred pain has been reported as a very common occurrence during McKenzie assessment and treatment. Patients whose pain centralizes have been shown to achieve superior treatment outcomes. A dynamic internal disc model has been hypothesized as an underlying mechanism for centralization that has not been studied previously.
METHODS: Patients with chronically disabling low back pain who were referred for discography underwent preliminary blinded McKenzie clinical assessment and were categorized into three groups by their pain response. Patterns, or lack thereof, of pain response were then compared with blinded discographic pain provocation and anular findings.
RESULTS: During the McKenzie assessment, the referred pain of 50% centralized with 74% having positive discograms, of which 91% had an intact anulus. The pain of 25% peripheralized only (would not centralize); 69% of these had positive discograms, but only 54% had an intact anulus. The distal pain of 25% did not respond at all, and only 12.5% of these had positive discograms.
CONCLUSION: The McKenzie assessment process reliably differentiated discogenic from nondiscogenic pain (P < 0.001) as well as competent from an incompetent anulus (P < 0.042) in symptomatic discs and was superior to magnetic resonance imaging in distinguishing painful from nonpainful discs.

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Year:  1997        PMID: 9160470     DOI: 10.1097/00007632-199705150-00011

Source DB:  PubMed          Journal:  Spine (Phila Pa 1976)        ISSN: 0362-2436            Impact factor:   3.468


  34 in total

1.  Subclassification of low back pain: a cross-country comparison.

Authors:  Evdokia V Billis; Christopher J McCarthy; Jacqueline A Oldham
Journal:  Eur Spine J       Date:  2007-03-17       Impact factor: 3.134

2.  Systematic review of tests to identify the disc, SIJ or facet joint as the source of low back pain.

Authors:  M J Hancock; C G Maher; J Latimer; M F Spindler; J H McAuley; M Laslett; N Bogduk
Journal:  Eur Spine J       Date:  2007-06-14       Impact factor: 3.134

3.  Nucleus pulposus deformation following application of mechanical diagnosis and therapy: a single case report with magnetic resonance imaging.

Authors:  Hiroshi Takasaki; Stephen May; Peter J Fazey; Toby Hall
Journal:  J Man Manip Ther       Date:  2010-09

4.  Clinical examination and physical assessment of hip joint-related pain in athletes.

Authors:  Michael P Reiman; Kristian Thorborg
Journal:  Int J Sports Phys Ther       Date:  2014-11

5.  Differential diagnosis and management of an older runner with an atypical neurodynamic presentation: a case for clinical reasoning.

Authors:  Jonathan Sylvain; Michael P Reiman
Journal:  Int J Sports Phys Ther       Date:  2015-04

6.  Centralization in patients with sciatica: are pain responses to repeated movement and positioning associated with outcome or types of disc lesions?

Authors:  Hanne B Albert; Eva Hauge; Claus Manniche
Journal:  Eur Spine J       Date:  2011-09-23       Impact factor: 3.134

7.  A Case Study Examining the Effectiveness of Mechanical Diagnosis and Therapy in a Patient who Met the Clinical Prediction Rule for Spinal Manipulation.

Authors:  Judy Chen; Amy Phillips; Melissa Ramsey; Ron Schenk
Journal:  J Man Manip Ther       Date:  2009

Review 8.  Clinical diagnosis for discogenic low back pain.

Authors:  Yin-gang Zhang; Tuan-mao Guo; Xiong Guo; Shi-xun Wu
Journal:  Int J Biol Sci       Date:  2009-10-13       Impact factor: 6.580

9.  Research methods for subgrouping low back pain.

Authors:  Peter Kent; Jennifer L Keating; Charlotte Leboeuf-Yde
Journal:  BMC Med Res Methodol       Date:  2010-07-03       Impact factor: 4.615

10.  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
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