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Network meta-analysis for comparative effectiveness of treatments for chronic low back pain disorders: systematic review protocol
INTRODUCTION: Chronic low back pain disorders (CLBDs) present a substantial societal burden; however, optimal treatment remains debated. To date, pairwise and network meta-analyses have evaluated individual treatment modes, yet a comparison of a wide range of common treatments is required to evaluat...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8634013/ https://www.ncbi.nlm.nih.gov/pubmed/34845083 http://dx.doi.org/10.1136/bmjopen-2021-057112 |
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author | Belavy, Daniel L Diwan, Ashish D Ford, Jon Miller, Clint T Hahne, Andrew J Mundell, Niamh Tagliaferri, Scott Bowe, Steven Pedder, Hugo Saueressig, Tobias Zhao, Xiaohui Chen, Xiaolong Balasundaram, Arun Prasad Arora, Nitin Kumar Owen, Patrick J |
author_facet | Belavy, Daniel L Diwan, Ashish D Ford, Jon Miller, Clint T Hahne, Andrew J Mundell, Niamh Tagliaferri, Scott Bowe, Steven Pedder, Hugo Saueressig, Tobias Zhao, Xiaohui Chen, Xiaolong Balasundaram, Arun Prasad Arora, Nitin Kumar Owen, Patrick J |
author_sort | Belavy, Daniel L |
collection | PubMed |
description | INTRODUCTION: Chronic low back pain disorders (CLBDs) present a substantial societal burden; however, optimal treatment remains debated. To date, pairwise and network meta-analyses have evaluated individual treatment modes, yet a comparison of a wide range of common treatments is required to evaluate their relative effectiveness. Using network meta-analysis, we aim to evaluate the effectiveness of treatments (acupuncture, education or advice, electrophysical agents, exercise, manual therapies/manipulation, massage, the McKenzie method, pharmacotherapy, psychological therapies, surgery, epidural injections, percutaneous treatments, traction, physical therapy, multidisciplinary pain management, placebo, ‘usual care’ and/or no treatment) on pain intensity, disability and/or mental health in patients with CLBDs. METHODS AND ANALYSIS: Six electronic databases and reference lists of 285 prior systematic reviews were searched. Eligible studies will be randomised controlled/clinical trials (including cross-over and cluster designs) that examine individual treatments or treatment combinations in adult patients with CLBDs. Studies must be published in English, German or Chinese as a full-journal publication in a peer-reviewed journal. A narrative approach will be used to synthesise and report qualitative and quantitative data, and, where feasible, network meta-analyses will be performed. Reporting of the review will be informed by Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidance, including the network meta-analysis extension (PRISMA-NMA). The Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach for network meta-analysis will be implemented for assessing the quality of the findings. ETHICS AND DISSEMINATION: Ethical approval is not required for this systematic review of the published data. Findings will be disseminated via peer-reviewed publication. PROSPERO REGISTRATION NUMBER: PROSPERO registration number CRD42020182039. |
format | Online Article Text |
id | pubmed-8634013 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-86340132021-12-10 Network meta-analysis for comparative effectiveness of treatments for chronic low back pain disorders: systematic review protocol Belavy, Daniel L Diwan, Ashish D Ford, Jon Miller, Clint T Hahne, Andrew J Mundell, Niamh Tagliaferri, Scott Bowe, Steven Pedder, Hugo Saueressig, Tobias Zhao, Xiaohui Chen, Xiaolong Balasundaram, Arun Prasad Arora, Nitin Kumar Owen, Patrick J BMJ Open Rehabilitation Medicine INTRODUCTION: Chronic low back pain disorders (CLBDs) present a substantial societal burden; however, optimal treatment remains debated. To date, pairwise and network meta-analyses have evaluated individual treatment modes, yet a comparison of a wide range of common treatments is required to evaluate their relative effectiveness. Using network meta-analysis, we aim to evaluate the effectiveness of treatments (acupuncture, education or advice, electrophysical agents, exercise, manual therapies/manipulation, massage, the McKenzie method, pharmacotherapy, psychological therapies, surgery, epidural injections, percutaneous treatments, traction, physical therapy, multidisciplinary pain management, placebo, ‘usual care’ and/or no treatment) on pain intensity, disability and/or mental health in patients with CLBDs. METHODS AND ANALYSIS: Six electronic databases and reference lists of 285 prior systematic reviews were searched. Eligible studies will be randomised controlled/clinical trials (including cross-over and cluster designs) that examine individual treatments or treatment combinations in adult patients with CLBDs. Studies must be published in English, German or Chinese as a full-journal publication in a peer-reviewed journal. A narrative approach will be used to synthesise and report qualitative and quantitative data, and, where feasible, network meta-analyses will be performed. Reporting of the review will be informed by Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidance, including the network meta-analysis extension (PRISMA-NMA). The Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach for network meta-analysis will be implemented for assessing the quality of the findings. ETHICS AND DISSEMINATION: Ethical approval is not required for this systematic review of the published data. Findings will be disseminated via peer-reviewed publication. PROSPERO REGISTRATION NUMBER: PROSPERO registration number CRD42020182039. BMJ Publishing Group 2021-11-29 /pmc/articles/PMC8634013/ /pubmed/34845083 http://dx.doi.org/10.1136/bmjopen-2021-057112 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://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/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Rehabilitation Medicine Belavy, Daniel L Diwan, Ashish D Ford, Jon Miller, Clint T Hahne, Andrew J Mundell, Niamh Tagliaferri, Scott Bowe, Steven Pedder, Hugo Saueressig, Tobias Zhao, Xiaohui Chen, Xiaolong Balasundaram, Arun Prasad Arora, Nitin Kumar Owen, Patrick J Network meta-analysis for comparative effectiveness of treatments for chronic low back pain disorders: systematic review protocol |
title | Network meta-analysis for comparative effectiveness of treatments for chronic low back pain disorders: systematic review protocol |
title_full | Network meta-analysis for comparative effectiveness of treatments for chronic low back pain disorders: systematic review protocol |
title_fullStr | Network meta-analysis for comparative effectiveness of treatments for chronic low back pain disorders: systematic review protocol |
title_full_unstemmed | Network meta-analysis for comparative effectiveness of treatments for chronic low back pain disorders: systematic review protocol |
title_short | Network meta-analysis for comparative effectiveness of treatments for chronic low back pain disorders: systematic review protocol |
title_sort | network meta-analysis for comparative effectiveness of treatments for chronic low back pain disorders: systematic review protocol |
topic | Rehabilitation Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8634013/ https://www.ncbi.nlm.nih.gov/pubmed/34845083 http://dx.doi.org/10.1136/bmjopen-2021-057112 |
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