Systematic review and network meta-analysis of interventions for fibromyalgia: a protocol

Busse, Jason W. and Ebrahim, Shanil and Connell, Gaelan and Coomes, Eric A. and Bruno, Paul and Malik, Keshena and Torrance, David and Ngo, Trung and Kirmayr, Karin and Avrahami, Daniel and Riva, John J. and Struijs, Peter and Brunarski, David and Burnie, Stephen J. and LeBlanc, Frances and Steenstra, Ivan A. and Mahood, Quenby and Thorlund, Kristian and Montori, Victor M. and Sivarajah, Vishalini and Alexander, Paul and Jankowski, Milosz and Lesniak, Wictoria and Faulhaber, Markus and Bala, Malgorzata M. and Schandelmaier, Stefan and Guyatt, Gordon H.. (2013) Systematic review and network meta-analysis of interventions for fibromyalgia: a protocol. Systematic Reviews, 2. p. 18.

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Official URL: https://edoc.unibas.ch/74820/

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BACKGROUND: Fibromyalgia is associated with substantial socioeconomic loss and, despite considerable research including numerous randomized controlled trials (RCTs) and systematic reviews, there exists uncertainty regarding what treatments are effective. No review has evaluated all interventional studies for fibromyalgia, which limits attempts to make inferences regarding the relative effectiveness of treatments. METHODS/DESIGN: We will conduct a network meta-analysis of all RCTs evaluating therapies for fibromyalgia to determine which therapies show evidence of effectiveness, and the relative effectiveness of these treatments. We will acquire eligible studies through a systematic search of CINAHL, EMBASE, MEDLINE, AMED, HealthSTAR, PsychINFO, PapersFirst, ProceedingsFirst, and the Cochrane Central Registry of Controlled Trials. Eligible studies will randomly allocate patients presenting with fibromyalgia or a related condition to an intervention or a control. Teams of reviewers will, independently and in duplicate, screen titles and abstracts and complete full text reviews to determine eligibility, and subsequently perform data abstraction and assess risk of bias of eligible trials. We will conduct meta-analyses to establish the effect of all reported therapies on patient-important outcomes when possible. To assess relative effects of treatments, we will construct a random effects model within the Bayesian framework using Markov chain Monte Carlo methods. DISCUSSION: Our review will be the first to evaluate all treatments for fibromyalgia, provide relative effectiveness of treatments, and prioritize patient-important outcomes with a focus on functional gains. Our review will facilitate evidence-based management of patients with fibromyalgia, identify key areas for future research, and provide a framework for conducting large systematic reviews involving indirect comparisons
Faculties and Departments:03 Faculty of Medicine > Bereich Medizinische Fächer (Klinik) > Versicherungsmedizin > Versicherungsmedizin (Kunz)
03 Faculty of Medicine > Departement Klinische Forschung > Bereich Medizinische Fächer (Klinik) > Versicherungsmedizin > Versicherungsmedizin (Kunz)
UniBasel Contributors:Kunz, Regina
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:BioMed Central
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:23 Sep 2020 10:44
Deposited On:23 Sep 2020 10:44

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