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Exercise interventions for ankylosing spondylitis: a protocol for a Bayesian network meta-analysis.

Shun-Li Kan1, Ling-Xiao Chen2, Zhi-Fang Yuan3

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Summary
This summary is machine-generated.

This study compares exercise interventions for ankylosing spondylitis (AS) patients. A Bayesian network meta-analysis will determine the most effective exercise types for managing AS symptoms and improving function.

Keywords:
ankylosing spondylitisbayesianexercisenetwork meta-analysis

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Area of Science:

  • Rheumatology
  • Exercise Science
  • Evidence-Based Medicine

Background:

  • Ankylosing spondylitis (AS) is a chronic inflammatory disease causing back pain and stiffness.
  • Pharmacological treatments are not always effective for AS patients.
  • Exercise is a recognized complementary therapy for AS management, but optimal types are unclear.

Purpose of the Study:

  • To determine the relative efficacy of different exercise interventions for individuals with ankylosing spondylitis.
  • To provide evidence-based guidance on exercise selection for AS management.

Main Methods:

  • Systematic literature review of randomized controlled trials.
  • Bayesian network meta-analysis to compare exercise interventions.
  • Outcomes include functional capacity, pain, and disease activity.

Main Results:

  • The study will compare the efficacy of various exercise interventions for AS.
  • Results will identify which exercise types yield the best outcomes for functional capacity, pain, and disease activity.

Conclusions:

  • This meta-analysis will clarify the comparative effectiveness of different exercise interventions for ankylosing spondylitis.
  • Findings will inform clinical practice and patient recommendations for AS management through exercise.