How to Conduct Dose-response Meta-analysis: the Application of Software_Chinese Journal of Evidence-Based Medicine

Authors：

 GUOPeng ¹ , XUChang ² , ZHOUQuan ³ , ZHANGChao ⁴ , YANJin-zhu ⁵ ,  ZHANGYong-gang ⁶

1. Department of Hepatobiliary Surgery, People's Hospital of Hubei University of Medicine, Shiyan 442000, China;
2. Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan 43000, China;
3. Department of Science and Education, the First People's Hospital of Changde, Changde 415003, China;
4. Center for Evidence-based Medicine and Clinical Research, Taihe Hospital, Hubei University of Medicine, Shiyan 442000, China;
5. Department of Hepatobiliary Surgery, the First Affiliated Hospital of Shihezi University Shihezi 832003, China;
6. West China Hospital, Sichuan University, Chengdu 610041, China;

Corresponding author：

ZHANGYong-gang, Email: yonggang-zhang@sohu.com

Keywords：

Dose-response; Meta-analysis; Stata software; R software; SAS software

DOI：

10.7507/1672-2531.20160056

Video：

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Abstract Full text Figures/Tables Video References Cited by

In evidence-based practice and decision, dose-response meta-analysis has been concerned by many scholars. It can provide unique dose-response relationship between exposure and disease, with a high grade of evidence among observational-study based meta-analysis. Thus, it is important to clearly understand this type of meta-analysis on software implementations. Currently, there are different software for dose-response meta-analysis with various characteristics. In this paper, we will focus on how to conduct dose-response meta-analysis by Stata, R and SAS software, which including a brief introduction, the process of calculation, the graph drawing, the generalization, and some examples of the processes.

Citation： GUOPeng, XUChang, ZHOUQuan, ZHANGChao, YANJin-zhu, ZHANGYong-gang. How to Conduct Dose-response Meta-analysis: the Application of Software. Chinese Journal of Evidence-Based Medicine, 2016, 16(3): 363-368. doi: 10.7507/1672-2531.20160056 Copy

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3.	徐畅, 曾宪涛, 张超, 等. 应用R软件dosresmeta程序包和mvmeta程序包实现剂量-反应关系Meta分析. 循证医学, 2014, 14(4):479-483.
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5.	周权, 罗美玲, 王冕, 等. 应用SAS软件宏命令实现剂量-反应关系Meta分析. 循证医学, 2015, 15(1):54-60.
6.	徐畅, 刘同族, 邝心颖, 等. 剂量-反应Meta分析模型中缺失值的处理及效应指标的转换. 中国循证医学杂志, 2015, 15(8):984-987.
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9.	Orsini N, Bellocco R, Greenland S. Generalized least squares for trend estimation of summarized dose-response data. Stata J, 2005, 6(1):40-57.
10.	Orsini N A procedure to tabulate and plot results after flexible modeling of a quantitative covariate. Stata J, 2011, 11 (1):1-29.
11.	Orsini N, Bellocco R, Greenland S. Generalized least squares for trend estimation of summarized dose-response data. Stata J, 2005, 6 (1):40-57.
12.	周权, 李卉, 罗美玲, 等. 剂量-反应关系Meta分析在R软件中的实现. 现代预防医学, 2015, 42(5):789-794.

1. 徐畅, 张永刚, 韩芳芳, 等. 剂量-反应关系Meta分析的方法学简介. 中国循证医学杂志, 2015, 15(10):1236-1240.
2. 罗美玲, 林希建, 刘如春, 等. 剂量-反应关系Meta分析在Stata软件中的实现. 循证医学, 2014, 14(03):182-187.
3. 徐畅, 曾宪涛, 张超, 等. 应用R软件dosresmeta程序包和mvmeta程序包实现剂量-反应关系Meta分析. 循证医学, 2014, 14(4):479-483.
4. Xu C, Zeng XT, Liu TZ, et al. Fruits and vegetables intake and risk of bladder cancer:a PRISMA-compliant systematic review and dose-response meta-analysis of prospective cohort studies. Medicine (Baltimore), 2015, 94(17):e759.
5. 周权, 罗美玲, 王冕, 等. 应用SAS软件宏命令实现剂量-反应关系Meta分析. 循证医学, 2015, 15(1):54-60.
6. 徐畅, 刘同族, 邝心颖, 等. 剂量-反应Meta分析模型中缺失值的处理及效应指标的转换. 中国循证医学杂志, 2015, 15(8):984-987.
7. 曾宪涛, 主编. 应用STATA做Meta分析. 第1版. 北京:军事医学科学出版社, 2014:92-100.
8. Greenland S, Longnecker MP. Methods for trend estimation from summarized dose-response data, with applications to meta-analysis. Am J Epidemiol, 1992, 135 (11):1301-1309.
9. Orsini N, Bellocco R, Greenland S. Generalized least squares for trend estimation of summarized dose-response data. Stata J, 2005, 6(1):40-57.
10. Orsini N A procedure to tabulate and plot results after flexible modeling of a quantitative covariate. Stata J, 2011, 11 (1):1-29.
11. Orsini N, Bellocco R, Greenland S. Generalized least squares for trend estimation of summarized dose-response data. Stata J, 2005, 6 (1):40-57.
12. 周权, 李卉, 罗美玲, 等. 剂量-反应关系Meta分析在R软件中的实现. 现代预防医学, 2015, 42(5):789-794.

Chinese Journal of Evidence-Based Medicine

How to Conduct Dose-response Meta-analysis: the Application of Software

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