The acupuncture-related therapy for post-stroke urinary incontinence: A protocol for systematic review and network meta-analysis

• Published in: Medicine (Baltimore) 2020-10, Vol.99 (44), p.e22865-e22865
• Main Authors: Cheng, Pan, Chi, Zhenhai, Xiao, Yuanyi, Xie, Wenping, Zhu, Daocheng, Yu, Ting, Li, Haiyan, Qin, Siyu, Jiao, Lin
• Format: Article
• Language: English
• Subjects: Acupuncture Therapy - methods; Acupuncture Therapy - standards; Clinical Protocols; Humans; Meta-Analysis as Topic; Stroke Rehabilitation - methods; Stroke Rehabilitation - standards; Study Protocol Systematic Review; Systematic Reviews as Topic; Urinary Incontinence - etiology; Urinary Incontinence - therapy
• ISSN: 0025-7974; 1536-5964
• DOI: 10.1097/MD.0000000000022865

With the rising incidences stroke, the Post-Stroke Urinary Incontinence (PSUI) has become one of the common clinical sequelae. PSUI not only lowers the quality of life of patients, but also impacts tremendously to mental health. As a treasure of Chinese medicine, acupuncture and its related therapies have been widely accepted in clinical treatment of PSUI. Recently, there have been many clinical studies on the treatment of PSUI with acupuncture and related therapies, but the best way to treat PSUI is controversial. Therefore, the purpose of this paper is to provide an optimal ranking regarding acupuncture and its related therapies for PSUI. The five domestic and foreign databases including PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure, Wanfang Database will be systematically searched. The time range of the literature search is from the date of establishment to August 31, 2020. The main evaluation outcome was the number of patients after treatment, and the frequency of urinary incontinence. The secondary evaluation outcome was International Consultation on Incontinence Questionnaire-Short Form (ICIQ-SF), Barthel Activities of Daily Living Index (Barthel ADL Index) and the incidence rate of adverse events. The methodological quality of the article will evaluated by Cochrane Collaboration's Tool and the quality of evidence will evaluated through Grading of Recommendations Assessment, Development and Evaluation (GRADE) instrument. The Network Meta-Analysis (NMA) will be completed using Stata statistical software. The final results of this study will be published in a peer-reviewed journal. This network meta-analysis will compare the efficacy and safety of different acupuncture therapies in the treatment of PSUI and summarize the best treatment options, which will help patients and doctors to choose effective acupuncture methods in time.