Comparison of the efficacy and tolerability of different repetitive transcranial magnetic stimulation modalities for post-stroke dysphagia: a systematic review and Bayesian network meta-analysis protocol

被引:0
|
作者
Chen, Qiang [1 ]
Kan, Mengfan [1 ]
Jiang, Xiaoyu [1 ]
Liu, Huifen [1 ]
Zhang, Deqi [1 ]
Yuan, Lin [1 ]
Xu, Qiling [1 ]
Bi, Hongyan [2 ]
机构
[1] Shandong Univ Tradit Chinese Med, Coll Rehabil Med, Jinan, Shandong, Peoples R China
[2] Shandong Univ Tradit Chinese Med Affiliated Hosp, Dept Rehabil Med, Jinan, Shandong, Peoples R China
来源
BMJ OPEN | 2024年 / 14卷 / 04期
关键词
Transcranial Magnetic Stimulation; Stroke; Systematic Review; REHABILITATION MEDICINE; STROKE; HETEROGENEITY; RECOVERY; QUALITY;
D O I
暂无
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction Up to 78% of patients who had a stroke develop post-stroke dysphagia (PSD), a significant consequence. Life-threatening aspiration pneumonia, starvation, and water and electrolyte abnormalities can result. Several meta-analyses have shown that repeated transcranial magnetic stimulation (rTMS) improves swallowing in patients who had a stroke; however, the optimum model is unknown. This study will be the first Bayesian network meta-analysis (NMA) to determine the best rTMS modalities for swallowing of patients who had a stroke.Methods and analysis PubMed, Web of Science, Embase, Google Scholar, Cochrane, the Chinese National Knowledge Infrastructure, the Chongqing VIP Database and WanFang Data will be searched from their creation to 2 September 2023. All randomised controlled trials associated with rTMS for PSD will be included. Only Chinese or English results will be studied. Two researchers will independently review the literature and extract data, then use the Cochrane Collaboration's Risk of Bias 2.0 tool to assess the included studies' methodological quality. The primary outcome is swallowing function improvement, whereas secondary outcomes include side effects (eg, paraesthesia, vertigo, seizures) and quality of life. A pairwise meta-analysis and NMA based on a Bayesian framework will be conducted using Stata and R statistical software. The Grading of Recommendations Assessment, Development, and Evaluation system will assess outcome indicator evidence quality.Ethics and dissemination As all data in this study will be taken from the literature, ethical approval is not needed. We will publish our work in peer-reviewed publications and present it at academic conferences.PROSPERO registration number CRD42023456386.
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页数:7
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