文献类型：期刊文献

英文题名：Effect of acupuncture and auricular acupressure on smoking cessation Protocol of a systematic review and Bayesian network meta-analysis

作者：Dai, Runjing[1];Zhang, Jie[2];Zhang, Hailiang[1];Zhao, Na[1];Song, Fujian[3];Fan, Jingchun[1]

第一作者：Dai, Runjing

通信作者：Fan, JC[1];Song, FJ[2]

机构：[1]Gansu Univ Chinese Med, Ctr Evidence Based Med, Sch Publ Hlth, 35 East Dingxi Rd, Lanzhou 730000, Gansu, Peoples R China;[2]Gansu Univ Chinese Med, Affiliated Hosp, Grad Sch, Lanzhou, Gansu, Peoples R China;[3]Univ East Anglia, Norwich Med Sch, Norwich Res Pk, Norwich, Norfolk, England

第一机构：甘肃中医药大学公共卫生学院

通信机构：[1]corresponding author), Gansu Univ Chinese Med, Ctr Evidence Based Med, Sch Publ Hlth, 35 East Dingxi Rd, Lanzhou 730000, Gansu, Peoples R China;[2]corresponding author), Univ East Anglia, Norwich Med Sch, Norwich Res Pk, Norwich, Norfolk, England.|[10735e9d5e7087247e71b]甘肃中医药大学公共卫生学院;[10735]甘肃中医药大学;

年份：2020

卷号：99

期号：22

起止页码：E20295

外文期刊名：MEDICINE

收录：;Scopus(收录号：2-s2.0-85085675783);WOS:【SCI-EXPANDED(收录号:WOS:000551511100043)】；

基金：This study is funded by Talent Introduction Program of Gansu University of Chinese Medicine (No. 2016YJRC-01), University innovation capacity improvement project in Gansu Province and Special project in on COCVID-19 emergency prevention and treatment of Gansu University of Chinese Medicine.

语种：英文

外文关键词：acupuncture; auricular acupressure; network meta-analysis; nicotine replacement; smoking cessation

摘要：Background: Tobacco epidemic remains a major challenge to public health, with >7 million deaths attributable to tobacco smoking p.a. Quitting smoking is a proven way of reducing the harm of smoking. Nicotine replacement therapy (NRT), auricular acupressure and acupuncture are used for quit smoking, but it remains to be explored which is relatively more effective. Furthermore, a Bayesian network meta-analysis will be applied to determine the relative effects and/or safety of different smoking cessation treatments. Methods/design: A literature search for randomized controlled trials (RCTs) will be performed in five electronic databases from inception to December 2019, including PubMed, the Cochrane library, EMBASE, Web of Science, and Chinese Biomedical Database (SinoMed). Cochrane Collaboration quality assessment tool will be used for the risk of bias assessment. A Bayesian network meta-analysis will be performed using WinBUGS 1.4.3, and Stata 14 will be applied to draw the network diagram, while RevMan 5.3.5 will be used to produce funnel plot for assessing the risk of publication bias. Recommended rating, development and grade methodology will also be utilized to assess the quality of evidence. Results: We will evaluate the effect of different smoking cessation treatments (e.g., acupuncture, auricular acupressure, and NRT) by directly traditional meta-analysis and indirectly Bayesian network meta-analysis. Conclusion: Our study will provide smokers with the available evidence on the efficacy and safety of quitting regimens.