Efficacy of acupuncture in subpopulations with functional constipation: A protocol for a systematic review and individual patient data meta-analysis

• Published in: PloS one 2022-04, Vol.17 (4), p.e0266075-e0266075
• Main Authors: Chen, Chao, Liu, Jia, Liu, Baoyan, Cao, Xue, Liu, Zhishun, Zhao, Tianyi, Lv, Xiaoying, Guo, Shengnan, Li, Yang, He, Liyun, Ai, Yanke
• Format: Article
• Language: English
• Subjects: Acupuncture; Acupuncture Therapy - methods; Bias; Care and treatment; Citation indexes; Clinical medicine; Clinical trials; Collaboration; Computer and Information Sciences; Constipation; Constipation - therapy; Defecation; Demographic aspects; Health risks; Heterogeneity; Humans; Intestine; Literature reviews; Medicine; Medicine and Health Sciences; Meta-analysis; Meta-Analysis as Topic; Patient outcomes; Patients; Physical Sciences; Quality of life; Registered Report Protocol; Research and Analysis Methods; Subgroups; Subpopulations; Systematic review; Systematic Reviews as Topic
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0266075

Several systematic reviews have suggested that acupuncture is effective against functional constipation, but it is unknown whether variations in treatment effect across subgroups remain consistent. Our purpose of this study is to explore the heterogeneity of treatment effect of acupuncture on functional constipation across subgroups. We will search eleven English and Chinese electronic databases and three clinical trial registries from inception to December 2021. Randomized controlled trials that evaluate acupuncture compared with sham acupuncture or no treatment for functional constipation will be eligible if they report at least one primary outcome. The primary outcomes will include the change in weekly complete spontaneous bowel movements or spontaneous bowel movements from baseline. Two authors will independently identify the relevant studies, assess the risk of bias using the Cochrane RoB 2 tool and contact the primary researchers of the eligible trials for individual patient data. Individual patient data obtained from the original trial author will be standardized and all trial data will be combined into a single database. Generalized linear mixed effects model will be used to determine possible subgroup effects by adding an interaction term for predefined subgroup and treatment. International Prospective Register of Systematic Reviews (Number: CRD42020188366).