Deng Yi-Ran, Fu Cheng-Wei, Wu Tong, Huang Wan-Ping, Nie Hong, Jiao Yang
Hubei University of Traditional Chinese Medicine, Wuhan.
The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou.
Medicine (Baltimore). 2020 Sep 18;99(38):e22150. doi: 10.1097/MD.0000000000022150.
Nausea and vomiting are the most common complications after chemotherapy, which cannot be completely controlled even with commonly prescribed antiemetic drugs, particularly in patients receiving highly emetogenic chemotherapy Acupuncture therapy is an effective replacement method for chemotherapy-induced nausea and vomiting (CINV), which effectiveness and safety have been observed by many clinicians. However, different acupuncture treatments have various effectiveness. Based on enough clinical researches, the study aims to uses Bayesian network meta-analysis (NMA) to evaluate the effectiveness of different acupuncture therapies used for preventing CINV.
Authors will search PubMed/Medline, Cochrane library, Web of Science, Ebsco, Ovid/Embase, China National Knowledge Infrastructure, Wanfang Database, VIP Database, and China Biology Medicine from setup time to July 2020. All randomized control trails meet the standard will be included. Quality evaluation of included studies will be implemented with Cochrane risk-of-bias tool. STATA 14.0 will be used to perform pairwise meta-analysis. Addis 1.16.8 (University Medical Center Groningen (UMCG), Groningen, NL) and OpenBUGS 3.2.3 (Medical Research Council (MRC), London, UK) will be used to conduct NMA.
The results of this review will generate a comprehensive review of current evidence and be published on a peer-reviewed journal.
The result of this systematic review and Bayesian NMA may offer better options for patients in relieving CINV.Systematic review registration number: INPLASY202070070.
恶心和呕吐是化疗后最常见的并发症,即使使用常用的止吐药物也无法完全控制,尤其是在接受高致吐性化疗的患者中。针灸疗法是治疗化疗引起的恶心和呕吐(CINV)的一种有效替代方法,许多临床医生已观察到其有效性和安全性。然而,不同的针灸治疗效果各异。基于充分的临床研究,本研究旨在采用贝叶斯网络荟萃分析(NMA)来评估不同针灸疗法预防CINV的有效性。
作者将检索从建库至2020年7月的PubMed/Medline、Cochrane图书馆、Web of Science、Ebsco、Ovid/Embase、中国知网、万方数据库、维普数据库和中国生物医学数据库。所有符合标准的随机对照试验都将被纳入。将使用Cochrane偏倚风险工具对纳入研究进行质量评估。将使用STATA 14.0进行成对荟萃分析。将使用Addis 1.16.8(荷兰格罗宁根大学医学中心(UMCG))和OpenBUGS 3.2.3(英国伦敦医学研究理事会(MRC))进行NMA。
本综述的结果将对当前证据进行全面综述,并发表在同行评审期刊上。
本系统评价和贝叶斯NMA的结果可能为缓解CINV的患者提供更好的选择。系统评价注册号:INPLASY202070070。