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Clinical indicators to identify neuropathic pain in low back-related leg pain: protocol for a modified Delphi study
INTRODUCTION: Neuropathic low back-related leg pain (LBLP) can be a challenge to healthcare providers to diagnose and treat. Accurate diagnosis of neuropathic pain is fundamental to ensure appropriate intervention is given. However, to date there is no gold standard to diagnose neuropathic LBLP. A D...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7045101/ https://www.ncbi.nlm.nih.gov/pubmed/32071181 http://dx.doi.org/10.1136/bmjopen-2019-033547 |
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author | Mistry, Jai Falla, Deborah Noblet, Tim Heneghan, Nicola R Rushton, Alison B |
author_facet | Mistry, Jai Falla, Deborah Noblet, Tim Heneghan, Nicola R Rushton, Alison B |
author_sort | Mistry, Jai |
collection | PubMed |
description | INTRODUCTION: Neuropathic low back-related leg pain (LBLP) can be a challenge to healthcare providers to diagnose and treat. Accurate diagnosis of neuropathic pain is fundamental to ensure appropriate intervention is given. However, to date there is no gold standard to diagnose neuropathic LBLP. A Delphi study will therefore be conducted to obtain an expert-derived consensus list of clinical indicators to identify a neuropathic component to LBLP. METHODS/ANALYSIS: Included participants will be considered experts within the field as measured against a predefined eligibility criterion. Through an iterative multistage process, participants will rate their agreement with a list of clinical indicators and suggest any missing clinical indicators during each round. Agreement will be measured using a 5-point Likert scale. Descriptive statistics will be used to measure agreement; median, IQR and percentage of agreement. A priori consensus criteria will be defined for each round. Data analysis at the end of round three will enable a list of clinical indicators to be derived. ETHICS AND DISSEMINATION: Ethical approval was gained from the University of Birmingham (ERN_19-1142). On completion of the study, findings will be disseminated in a peer-reviewed journal and presented at relevant conferences. |
format | Online Article Text |
id | pubmed-7045101 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-70451012020-03-09 Clinical indicators to identify neuropathic pain in low back-related leg pain: protocol for a modified Delphi study Mistry, Jai Falla, Deborah Noblet, Tim Heneghan, Nicola R Rushton, Alison B BMJ Open Neurology INTRODUCTION: Neuropathic low back-related leg pain (LBLP) can be a challenge to healthcare providers to diagnose and treat. Accurate diagnosis of neuropathic pain is fundamental to ensure appropriate intervention is given. However, to date there is no gold standard to diagnose neuropathic LBLP. A Delphi study will therefore be conducted to obtain an expert-derived consensus list of clinical indicators to identify a neuropathic component to LBLP. METHODS/ANALYSIS: Included participants will be considered experts within the field as measured against a predefined eligibility criterion. Through an iterative multistage process, participants will rate their agreement with a list of clinical indicators and suggest any missing clinical indicators during each round. Agreement will be measured using a 5-point Likert scale. Descriptive statistics will be used to measure agreement; median, IQR and percentage of agreement. A priori consensus criteria will be defined for each round. Data analysis at the end of round three will enable a list of clinical indicators to be derived. ETHICS AND DISSEMINATION: Ethical approval was gained from the University of Birmingham (ERN_19-1142). On completion of the study, findings will be disseminated in a peer-reviewed journal and presented at relevant conferences. BMJ Publishing Group 2020-02-17 /pmc/articles/PMC7045101/ /pubmed/32071181 http://dx.doi.org/10.1136/bmjopen-2019-033547 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Neurology Mistry, Jai Falla, Deborah Noblet, Tim Heneghan, Nicola R Rushton, Alison B Clinical indicators to identify neuropathic pain in low back-related leg pain: protocol for a modified Delphi study |
title | Clinical indicators to identify neuropathic pain in low back-related leg pain: protocol for a modified Delphi study |
title_full | Clinical indicators to identify neuropathic pain in low back-related leg pain: protocol for a modified Delphi study |
title_fullStr | Clinical indicators to identify neuropathic pain in low back-related leg pain: protocol for a modified Delphi study |
title_full_unstemmed | Clinical indicators to identify neuropathic pain in low back-related leg pain: protocol for a modified Delphi study |
title_short | Clinical indicators to identify neuropathic pain in low back-related leg pain: protocol for a modified Delphi study |
title_sort | clinical indicators to identify neuropathic pain in low back-related leg pain: protocol for a modified delphi study |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7045101/ https://www.ncbi.nlm.nih.gov/pubmed/32071181 http://dx.doi.org/10.1136/bmjopen-2019-033547 |
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