Facilitating Meta-analyses in Combing Effect Size from a Set of Estimates Presented by Ordinal Exposure Level or Disease Category_Chinese Journal of Evidence-Based Medicine

Authors：

 ZHOUQuan ¹ ,  GUOPeng ² , ZHANGChao ³ ,  XUChang ^3,4

1. Department of Science and Education, The First People's Hospital of Changde, Changde 415003, China;
2. Department of Hepatobiliary Surgery, People's Hospital of Hubei University of Medicine, Shiyan 442000, China;
3. Center for Evidence-based Medicine and Clinical Research, Taihe Hospital, Hubei University of Medicine, Shiyan 442000, China;
4. Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China;

Corresponding author：

XUChang, Email: xuchang@126.com

Keywords：

Discrete data; Transform; EXCEL macro software; Meta-analysis

DOI：

10.7507/1672-2531.20160150

Video：

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when we conducted a meta-analysis, it is often an annoying thing to deal with the data of discrete exposure and multiple outcomes. Conventional "high VS low" approach abandoned the information of middle category, and led to the loss of statistical power. In this paper, we introduced a method and software to combine the groups of discrete exposure and multiple outcomes in the meta-analysis of epidemiological studies. Firstly, we introduced the transforming and combination theory and method, and then, we conducted the combination using EXCEL macro software. The result was consistent with the results of the original data in the combination of discrete exposure and multiple outcome data. Therefore, in the case of the original research data cannot be acquired, EXCEL macro software can be a good solution.

Citation： ZHOUQuan, GUOPeng, ZHANGChao, XUChang. Facilitating Meta-analyses in Combing Effect Size from a Set of Estimates Presented by Ordinal Exposure Level or Disease Category. Chinese Journal of Evidence-Based Medicine, 2016, 16(8): 978-983. doi: 10.7507/1672-2531.20160150 Copy

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4.	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.
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9.	Zhou Q, Luo ML, Li H, et al. Coffee consumption and risk of endometrial cancer:a dose-response meta-analysis of prospective cohort studies. Sci Rep, 2015, 5:13410.
10.	Islami F, Fedirko V, Tramacere I, et al. Alcohol drinking and esophageal squamous cell carcinoma with focus on light-drinkers and never-smokers:a systematic review and meta-analysis. Int J Cancer, 2011, 129(10):2473-2484.
11.	Tramacere I, Negri E, Pelucchi C, et al. A meta-analysis on alcohol drinking and gastric cancer risk. Ann Oncol, 2012, 23(1):28-36.
12.	Liu M, Wu L, Yao S. Dose-response association of screen time-based sedentary behaviour in children and adolescents and depression:a meta-analysis of observational studies. Br J Sports Med, 2015, pii: bjsports-2015-095084.
13.	Forey BA, Thornton AJ, Lee PN. Systematic review with metaanalysis of the epidemiological evidence relating smoking to COPD, chronic bronchitis and emphysema. BMC Pulm Med, 2011, 11:36.
14.	Aune D, Lau R, Chan DS, et al. Nonlinear reduction in risk for colorectal cancer by fruit and vegetable intake based on metaanalysis of prospective studies. Gastroenterology, 2011, 141(1):106-118.

1. Hamling J, Lee P, Weitkunat R, et al. Facilitating meta-analyses by deriving relative effect and precision estimates for alternative comparisons from a set of estimates presented by exposure level or disease category. Stat Med, 2008, 27(7):954-970.
2. 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.中国循证医学杂志, 2015, 15(4):479-483.
3. 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.
4. 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.
5. 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.
6. Matthews CE, George SM, Moore SC, et al. Amount of time spent in sedentary behaviors and cause-specific mortality in US adults. Am J Clin Nutr, 2012, 95(2):437-445.
7. Sun JW, Zhao LG, Yang Y, et al. Association Between Television Viewing Time and All-Cause Mortality:A Meta-Analysis of Cohort Studies. Am J Epidemiol, 2015, 182(11):908-916.
8. Fontham ET, Correa P, Reynolds P, et al. Environmental tobacco smoke and lung cancer in nonsmoking women. A multicenter study. JAMA, 1994, 271(22):1752-1759.
9. Zhou Q, Luo ML, Li H, et al. Coffee consumption and risk of endometrial cancer:a dose-response meta-analysis of prospective cohort studies. Sci Rep, 2015, 5:13410.
10. Islami F, Fedirko V, Tramacere I, et al. Alcohol drinking and esophageal squamous cell carcinoma with focus on light-drinkers and never-smokers:a systematic review and meta-analysis. Int J Cancer, 2011, 129(10):2473-2484.
11. Tramacere I, Negri E, Pelucchi C, et al. A meta-analysis on alcohol drinking and gastric cancer risk. Ann Oncol, 2012, 23(1):28-36.
12. Liu M, Wu L, Yao S. Dose-response association of screen time-based sedentary behaviour in children and adolescents and depression:a meta-analysis of observational studies. Br J Sports Med, 2015, pii: bjsports-2015-095084.
13. Forey BA, Thornton AJ, Lee PN. Systematic review with metaanalysis of the epidemiological evidence relating smoking to COPD, chronic bronchitis and emphysema. BMC Pulm Med, 2011, 11:36.
14. Aune D, Lau R, Chan DS, et al. Nonlinear reduction in risk for colorectal cancer by fruit and vegetable intake based on metaanalysis of prospective studies. Gastroenterology, 2011, 141(1):106-118.

Chinese Journal of Evidence-Based Medicine

Facilitating Meta-analyses in Combing Effect Size from a Set of Estimates Presented by Ordinal Exposure Level or Disease Category

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