Acupuncture for patients with chronic pruritus: protocol of a systematic review and meta-analysis

IntroductionChronic pruritus (CP) frequently occurs in many skin and systemic diseases, and adversely affects quality of life. This systematic review aims to evaluate treatment effects of acupuncture on CP.Methods and analysisAn electronic and manual search will be conducted for all acupuncture treatments for CP, from the inception date of predefined database up to 28 February 2020. Databases include PubMed, Embase, Springer, Web of Science, the Cochrane Library, the World Health Organization International Clinical Trial Registration Platform, the Chinese Medicine Database, the China National Knowledge Infrastructure, the Chinese Biomedical Literature Database, the China Science Journal Database and the Wanfang Database. Other sources, including existing systematic reviews, conference proceedings and reference lists of identified publications will also be searched. Additionally, any clinical randomised controlled trials related to acupuncture treatment for CP, regardless of the publication status and language limitations, will be included. Study selection, data extraction and research quality assessments will be conducted independently by two researchers. The primary outcome measures include the Visual Analogue Scale, Urdu 5D-Itch Scale or other validated scales implemented after at least 2 weeks of treatment. Secondary outcomes include the effective rate, Quality of Life Scale (eg, the EQ-5D third level, the Dermatology Life Quality Index, etc.), Pittsburgh Sleep Quality Index, recurrence rate during the follow-up period and adverse events. If possible, meta-analyses will be performed using RevMan V.5.3 statistical software; otherwise, a descriptive analysis or subgroup analysis will be conducted. The results will be presented as the risk ratio of the binary data and the mean difference (MD) or standardised MD of the continuous data.Ethics and disseminationThis systematic review protocol does not require formal ethical approval because the data are not personalised. It will be published in peer-reviewed journals and presented at international academic conferences.PROSPERO registration numberCRD42019136727.