Network meta-analysis for comparative effectiveness of treatments for chronic low back pain disorders: Systematic review protocol

Daniel L. Belavy, Ashish D. Diwan, Jon Ford, Clint T. Miller, Andrew J. Hahne, Niamh Mundell, Scott Tagliaferri, Steven Bowe, Hugo Pedder, Tobias Saueressig, Xiaohui Zhao, Xiaolong Chen, Arun Prasad Balasundaram, Nitin Kumar Arora, Patrick J. Owen

Research output: Contribution to journalReview ArticleOtherpeer-review

5 Citations (Scopus)

Abstract

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, â € 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.

Original languageEnglish
Article numbere057112
Number of pages9
JournalBMJ Open
Volume11
Issue number11
DOIs
Publication statusPublished - 29 Nov 2021
Externally publishedYes

Keywords

  • back pain
  • pain management
  • rehabilitation medicine
  • spine

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