Acupuncture methods for functional constipation: protocol for a systematic review and network meta-analysis.

Abstract

Functional constipation (FC) is one of the most prevalent functional gastrointestinal disorders, with the most significant negative impact on health-related quality of life. Despite that multiple systematic reviews and clinical trials have suggested that acupuncture could be effective for FC treatment, the comparative effectiveness among various acupuncture approaches has remained unknown. This protocol proposed a plan to assess and rank the effectiveness and safety of different acupuncture methods for patients with FC. We will search 8 bibliographic databases from their inception to 30 June 2021, including the Cochrane Central Register of Controlled Trials, MEDLINE (via PubMed), EMBASE, Allied and Complementary Medicine Database, the Chinese Biomedical Literature Database (CBM), Wanfang Database, VIP Database, and China National Knowledge Infrastructure (CNKI). Randomized controlled trials (RCT) examining acupuncture methods for FC will be considered. The primary outcome is a measurement of the weekly stool frequency [including bowel movement (BM), spontaneous bowel movement (SBM), and complete SBM]. There will be at least 2 reviewers in charge of study selection, data extraction, risk of bias assessment. Bayesian network meta-analysis will be conducted using ADDIS (Aggregate Data Drug Information System) V.1.16.8. Meta-regression and subgroup analyses will also be performed, if feasible, to address the potential causes of inconsistency and heterogeneity. Furthermore, the strength of evidence will be appraised using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system. In this study, we will provide evidence-based hierarchies for the effectiveness and safety of acupuncture therapies to manage constipated patients, assisting healthcare providers, physicians, and patients in making more informed treatment decisions. This study has been registered at PROSPERO (https://www.crd.york.ac.uk/prospero/) with a registration number CRD42021227920.