Literature DB >> 22397741

Agreement and correlation between the self-report leeds assessment of neuropathic symptoms and signs and Douleur Neuropathique 4 Questions neuropathic pain screening tools in subjects with low back-related leg pain.

Jeremy Walsh1, Martin I Rabey, Toby M Hall.   

Abstract

OBJECTIVE: The self-report Leeds Assessment of Neuropathic Symptoms and Signs (S-LANSS) and Douleur Neuropathique 4 Questions (DN4) neuropathic pain screening tools have been shown to be reliable, valid, and able to differentiate neuropathic pain from inflammatory or mixed pain syndromes. However, no studies have compared these tools to determine whether their outcomes are similar. This study evaluated agreement and correlation between the S-LANSS and DN4 in the identification of neuropathic pain in subjects with low back-related leg pain.
METHODS: This observational study compared S-LANSS and DN4 scores in 45 patients with low back-related leg pain. The S-LANSS and DN4 cutoff scores of 12 and 4, respectively, were used to classify subjects as positive or negative for the presence of neuropathic pain for each screening tool. The κ statistic was used to determine whether there was agreement in classification of neuropathic pain between the 2 screening tools. Pearson correlation coefficient was used to determine correlation between scores of the 2 screening tools.
RESULTS: Neuropathic pain was identified in 15 subjects (33%) using the S-LANSS and in 19 subjects (42%) using the DN4. Agreement on neuropathic pain classification was fair, with a κ value of 0.34. There was moderate to good correlation (r = 0.62; P < .001) between scores obtained from the 2 tools.
CONCLUSIONS: The finding of fair agreement suggests that despite the moderate to good correlation between scores, the cutoff points for the classification of neuropathic pain of the 2 tools may not be congruent.
Copyright © 2012 National University of Health Sciences. Published by Mosby, Inc. All rights reserved.

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Year:  2012        PMID: 22397741     DOI: 10.1016/j.jmpt.2012.02.001

Source DB:  PubMed          Journal:  J Manipulative Physiol Ther        ISSN: 0161-4754            Impact factor:   1.437


  4 in total

1.  Neuropathic Pain after Shoulder Arthroplasty: Prevalence, Impact on Physical and Mental Function, and Demographic Determinants.

Authors:  Helen Razmjou; Linda J Woodhouse; Richard Holtby
Journal:  Physiother Can       Date:  2018       Impact factor: 1.037

2.  Agreement Between the Douleur Neuropathique in 4 Questions and Leeds Assessment of Neuropathic Symptoms and Signs Questionnaires to Classify Neuropathic Pain Among Patients with Leprosy.

Authors:  Jamilly C V Santana; Victor S Santos; Ricardo Q Gurgel; Julianne C V Santana; Francisco P Reis; Luis E Cuevas; Vera L C Feitosa
Journal:  Am J Trop Med Hyg       Date:  2016-07-25       Impact factor: 2.345

3.  Pharmacological target therapy of neuropathic pain and patient-reported outcomes in patients with chronic low back pain in Korea: Results from the NLBP Outcomes Research.

Authors:  Jae Taek Hong; Jin-Hwan Kim; Keun-Su Kim; Chong-Suh Lee; Hyun-Chul Shin; Woo-Kyung Kim; Joo-Han Kim; Jung-Kil Lee; In-Soo Kim; Yoon Ha; Soo-Bin Im; Sang Woo Kim; In-Ho Han; Jun-Jae Shin; ByeongCheol Rim; Kyung-Soo Suk; Jin-Hyok Kim; Ye-Soo Park; Bong-Soon Chang; Deuk Soo Jun; Young-Hoon Kim; Jung-Hee Lee; Woo-Kie Min; Jung Sub Lee; Si-Young Park; In-Soo Oh; Jae-Young Hong; Bo-Jeong Seo; Young-Joo Kim; Juneyoung Lee
Journal:  Medicine (Baltimore)       Date:  2018-08       Impact factor: 1.817

Review 4.  The Genetics of Neuropathic Pain from Model Organisms to Clinical Application.

Authors:  Margarita Calvo; Alexander J Davies; Harry L Hébert; Greg A Weir; Elissa J Chesler; Nanna B Finnerup; Roy C Levitt; Blair H Smith; G Gregory Neely; Michael Costigan; David L Bennett
Journal:  Neuron       Date:  2019-11-20       Impact factor: 17.173

  4 in total

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