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Journal article
The effectiveness of spinal manipulative therapy procedures for spine pain: protocol for a systematic review and network meta-analysis
Chiropractic & manual therapies, Vol.31(1), 14
2023
PMID: 37226172
Abstract
Background
Spinal manipulative therapy (SMT) is a guideline-recommended treatment option for spinal pain. The recommendation is based on multiple systematic reviews. However, these reviews fail to consider that clinical effects may depend on SMT “application procedures” (i.e., how and where SMT is applied). Using network meta-analyses, we aim to investigate which SMT “application procedures” have the greatest magnitude of clinical effectiveness for reducing pain and disability, for any spinal complaint, at short-term and long-term follow-up. We will compare application procedural parameters by classifying the thrust application technique and the application site (patient positioning, assisted, vertebral target, region target, Technique name, forces, and vectors, application site selection approach and rationale) against: 1. Waiting list/no treatment; 2. Sham interventions not resembling SMT (e.g., detuned ultrasound); 3. Sham interventions resembling SMT; 4. Other therapies not recommended in clinical practice guidelines; and 5. Other therapies recommended in clinical practice guidelines. Secondly, we will examine how contextual elements, including procedural fidelity (whether the SMT was delivered as planned) and clinical applicability (whether the SMT is similar to clinical practice) of the SMT.
Methods
We will include randomized controlled trials (RCT) found through three search strategies, (i) exploratory, (ii) systematic, and (iii) other known sources. We define SMT as a high-velocity low-amplitude thrust or grade V mobilization. Eligibility is any RCT assessing SMT against any other type of SMT, any other active or sham intervention, or no treatment control on adult patients with pain in any spinal region. The RCTs must report on continuous pain intensity and/or disability outcomes. Two authors will independently review title and abstract screening, full-text screening, and data extraction. Spinal manipulative therapy techniques will be classified according to the technique application and choice of application sites. We will conduct a network-meta analysis using a frequentist approach and multiple subgroup and sensitivity analyses.
Discussion
This will be the most extensive review of thrust SMT to date, and will allow us to estimate the importance of different SMT application procedures used in clinical practice and taught across educational settings. Thus, the results are applicable to clinical practice, educational settings, and research studies.
Details
- Title
- The effectiveness of spinal manipulative therapy procedures for spine pain: protocol for a systematic review and network meta-analysis
- Authors/Creators
- Casper G Nim - University of Southern DenmarkSasha L Aspinall - Murdoch University, School of Allied HealthChad E Cook - Duke UniversityLeticia A Corrêa - Macquarie UniversityMegan Donaldson - Medical University of South CarolinaAron S Downie - Macquarie UniversitySteen Harsted - University of Southern DenmarkJan Hartvigsen - University of Southern DenmarkHazel J Jenkins - Department of Chiropractic, Macquarie University, Macquarie Park, AustraliaDavid McNaughton - Macquarie UniversityLuana Nyirö - University of ZurichStephen M Perle - Health Sciences UniversityEric J Roseen - Boston UniversityJames J Young - Schroeder Arthritis Institute, Krembil Research Institute, University Health Network, Toronto, CanadaAnika Young - Macquarie UniversityGong-He Zhao - Beijing Sport UniversityCarsten B Juhl - Copenhagen University Hospital
- Publication Details
- Chiropractic & manual therapies, Vol.31(1), 14
- Publisher
- BioMed Central Ltd unless otherwise stated. Part of Springer Nature
- Identifiers
- 991005581770107891
- Copyright
- © 2023 The Author(s).
- Murdoch Affiliation
- School of Allied Health
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 1 Clinical & Life Sciences
- 1.129 Back pain
- 1.129.98 Low Back Pain
- Web Of Science research areas
- Rehabilitation
- ESI research areas
- Clinical Medicine