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Published on: October 27, 2023
Exercise interventions for ankylosing spondylitis: a protocol for a Bayesian network meta-analysis
Shun-Li Kan1, Ling-Xiao Chen2, Zhi-Fang Yuan3
1Department of Spine Surgery, Tianjin Union Medical Center, Tianjin, China.
Introduction:
Ankylosing spondylitis (AS) is a universal chronic inflammatory rheumatic disease which predominantly results in chronic back pain and stiffness. However, some patients suffering from AS do not react well to pharmacological interventions. Exercise intervention has been employed for the treatment of AS and works as a complementary part of the management of AS. However, the effect of different types of exercise interventions remains unclear. The purpose of this study is to determine the relative efficacy of different types of exercise interventions for individuals with AS using a Bayesian network meta-analysis.
Methods And Analysis:
We will conduct a systematic literature review of randomised controlled trials that compare different types of exercise interventions for individuals with AS. PubMed, EMBASE and the Cochrane Library will be searched up to February 2019. The primary outcomes are functional capacity, pain and disease activity. The risk of bias for individual studies will be evaluated according to the Cochrane Handbook. A Bayesian network meta-analysis will be performed to compare the efficacy of different types of exercise interventions. The quality of evidence will be assessed by the Grading of Recommendations, Assessment, Development and Evaluation approach.
Ethics And Dissemination:
Ethical approval and patient consent are not required as this study is a meta-analysis based on published studies. The results of this network meta-analysis will be submitted to a peer-reviewed journal for publication.
Prospero Registration Number:
CRD42019123099.
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