Dai Runjing, Zhang Jie, Zhang Hailiang, Zhao Na, Song Fujian, Fan Jingchun
School of Public Health, Center for Evidence-Based Medicine.
The Graduate School, Affiliated Hospital of Gansu University of Chinese Medicine, Lanzhou City, Gansu Province, P.R. China.
Medicine (Baltimore). 2020 May 29;99(22):e20295. doi: 10.1097/MD.0000000000020295.
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.
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.
Our study will provide smokers with the available evidence on the efficacy and safety of quitting regimens.
烟草流行仍然是公共卫生面临的一项重大挑战,每年有超过700万人死于吸烟。戒烟是减少吸烟危害的一种已被证实的方法。尼古丁替代疗法(NRT)、耳穴按压法和针灸都用于戒烟,但哪种方法相对更有效仍有待探索。此外,将应用贝叶斯网络荟萃分析来确定不同戒烟治疗方法的相对效果和/或安全性。
方法/设计:将在五个电子数据库中进行从创建到2019年12月的随机对照试验(RCT)文献检索,包括PubMed、Cochrane图书馆、EMBASE、科学网和中国生物医学数据库(SinoMed)。将使用Cochrane协作网质量评估工具进行偏倚风险评估。将使用WinBUGS 1.4.3进行贝叶斯网络荟萃分析,并应用Stata 14绘制网络图,同时使用RevMan 5.3.5生成漏斗图以评估发表偏倚风险。还将利用推荐评级、发展和分级方法来评估证据质量。
我们将通过直接传统荟萃分析和间接贝叶斯网络荟萃分析来评估不同戒烟治疗方法(如针灸、耳穴按压法和NRT)的效果。
我们的研究将为吸烟者提供关于戒烟方案疗效和安全性的现有证据。