医学
干刺
针灸科
冲程(发动机)
物理疗法
随机对照试验
物理医学与康复
复杂局部疼痛综合征
替代医学
外科
机械工程
工程类
病理
作者
Mina Wang,Fang Yuan,Xiaobai Xu,Tao Zhang,Jing Guo,Guiling Wang,Linpeng Wang,Jingqing Sun,Fan Zhang,Bin Li
摘要
INTRODUCTION: Post-stroke complex regional pain syndrome (CRPS) is a devastating disease that causes severe physical and emotional consequences. Conventional therapies are limited due to the insufficient benefits and side effects, and fire needling therapy is considered an alternative for post-stroke CRPS of the upper limb. METHODS AND ANALYSIS: This is a study protocol for a pilot randomised, two-arm, single-centre, clinical trial at Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University. The trial started in March 2023 and is expected to end in December 2024. A total of 60 patients (aged 40–75 years, male or female) with post-stroke CRPS of the upper limb will be randomly assigned to treatment group (fire needling therapy, 5 sessions per week for 2 weeks) or control group (manual acupuncture, 5 sessions per week for 2 weeks) in a 1:1 ratio using block randomisation and opaque envelopes. Fire needling therapy or manual acupuncture will be performed in ten acupoints. Participants will complete the trial by visiting the research centre at Week 14 for a follow-up assessment. The primary outcome is the response rate. Secondary outcomes include FMA, Barthel Scale/Index (BI), pain threshold (PPT), and muscle elasticity modulus (using shear wave elastography [SWE]). A chi-squared test will be used for response rate. A mixed-effects linear model and a mixed-effects model will be used for FMA, BI, PPT, and SWE, respectively. DISCUSSION: This is the first standardised protocol to compare the effectiveness of fire needling therapy and manual acupuncture. We will use a rigorous methodology to minimise bias and set up supervising committees to ensure the quality of our study, thus providing trustworthy evidence for better understanding of fire needling therapy in treating post-stroke CRPS of the upper limb.
科研通智能强力驱动
Strongly Powered by AbleSci AI