Welcome to visit Zhongnan Medical Journal Press Series journal website!
Zhongnan Medical Journal Press Series of Journals Center for Evidence-Based and Translational Medicine of Wuhan University

The title
  • The title
  • The keywords
  • The author
Submit中文版

HomeArticlesVol 30,2020 No.4Detail

Meta-analysis and R software-based implementation based on median as effect size

Published on Aug. 21, 2020Total Views: 26976 timesTotal Downloads: 7235 timesDownloadMobile

Author: Qiao HUANG 1, 2 Joey S.W. KWONG 3 Tie-Jun TONG 4 Zhi MAO 5 Liang ZHENG 6 Hao CHEN 7 Xiao-Feng HE 8, 9 Sheng-Jie DONG 10 Chao ZHANG 11 Cheng-Feng QIU 12 Hong WENG 1 Yu-Liang GUI 1 Xue-Qun REN 13* Xian-Tao ZENG 1, 2, 14, 15*

Affiliation: 1. Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan 430071, China 2. Department of Evidence-Based Medicine and Clinical Epidemiology, The Second Clinical College of Wuhan University, Wuhan 430071, China 3. Global Health Nursing, Graduate School of Nursing Science, St. Luke's International University, Chuo-Ku, Tokyo 1040045, Japan 4. Department of Mathematics, Hong Kong Baptist University, Hong Kong 999077, China 5. Department of Critical Care Medicine, Chinese PLA General Hospital, 28 Fuxing Road, Beijing 100853, China 6. Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China 7. Department of Clinical Acupuncture Research, College of Acupuncture, Nanjing University of Chinese Medicine, Nanjing 210029, China 8. Department of Science and Education Affiliated Heping Hospital, Changzhi Medical College, Changzhi 046000, Shanxi Province, China 9. Department of Teaching and Scientific research, the First Clinical College, Changzhi Medical College, Changzhi 046000, Shanxi Province, China 10. Department of Arthropathy, Yantaishan Hospital, Yantai 264001, Shandong Province, China 11. Center for Evidence-based Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan 442000, Hubei Province, China 12. Evidence-based Medicine and Clinical Research Center, The First People’s Hospital of Huaihua, University of South China, Huaihua 418000, Hunan Province, China 13. Institutes of Evidence-Based Medicine and Knowledge Translation, Henan University, Kaifeng 475000, Henan Province, China 14. Division of Personnel Services, Zhongnan Hospital of Wuhan University, Wuhan 430071, China 15. Global Health Institute, Wuhan University, Wuhan 430072, China

Keywords: Median Meta-analysis R software metamedian package

DOI: 10.12173/j.issn.1004-5511.2020.04.10

Reference: Huang Q, Kwong JSW, Tong TJ, Mao Z, Zheng L, Chen H, He XF, Dong SJ, Zhang C, Qiu CF, Weng H, Gui YL, Ren XQ, Zeng XT. Meta-analysis and R software-based implementation based on median as effect size[J]. Yixue Xinzhi Zazhi, 2020, 30(4): 265-271. DOI: 10.12173/j.issn.1004-5511.2020.04.10.[Article in Chinese]

  • Abstract
  • Full-text
  • References
Abstract

The median is a descriptive statistic for continuous variable following abnormal distribution; hence, we aimed to explore the feasibility of meta-analysis based on median as effect size. Statistical basis and common implementation methods of meta-analysis using median as effect size are described and a metamedian package in R statistical software was applied to conduct meta-analysis and display of results based on median, heterogeneity in meta-analysis was also measured if suitable. This article provides another feasible solution to deal with median as effect size for meta-analysis.

Full-text
Please download the PDF version to read the full text: download
References

1.  黄桥, 黄笛, 靳英辉, 等. 临床研究中常用的统计方法和常见问题[J]. 中国循证心血管医学杂志, 2017, 9(11): 1288-1293. DOI：10.3969/j.issn.1674-4055.2017.11.02.[Huang Q, Huang D, Jin YH, et al. The common used statistic methods and common problems in clinical research [J]. Chinese Journal of Evidence-Based Cardiovascular Medicine, 2017, 9(11): 1288-1293.]

2.  Hozo SP, Djulbegovic B, Hozo I. Estimating the mean and variance from the median, range, and the size of a sample [J]. BMC Med Res Methodol, 2005, 5: 13. DOI:10.1186/1471-2288-5-13.

3.  罗德惠, 万翔, 刘际明, 等. 如何实现从样本量、中位数、极值或四分位数到均数与标准差的转换[J]. 中国循证医学杂志, 2017, 17(11): 1350-1356. DOI: 10.7507/1672-2531.201706060. [Luo DH, Wan X, Liu JM, et al. How to estimate the sample mean and standard deviation from the sample size, median, extremes or quartiles [J]. Chinese Journal of Evidence-Based Medicine, 2017, 17(11): 1350-1356.] 

4.  Hazra A. Using the confidence interval confidently [J]. J Thorac Dis, 2017, 9(10): 4125-4130. DOI: 10.21037/jtd.2017.09.14.

5.  Mcgrath S, Zhao X, Qin ZZ, et al. One-sample aggregate data meta-analysis of medians [J]. Stat Med, 2019, 38(6): 969-984. DOI: 10.1002/sim.8013. 

6.  Mcgrath S, Sohn H, Steele R, et al. Two-sample aggregate data meta-analysis of medians [J/OL]. (2018-09-05)[Access on 2020-04-20]. 2018, ArXiv e-prints. https://arxiv.org/abs/1809.01278. 

7.  Ialongo C. Confidence interval for quantiles and percentiles [J]. Biochem Med (Zagreb), 2019, 29(1): 10101. DOI: 10.11613/BM.2019.010101.

8.  Team RC. R: A Language and Environment for Statistical Computing [Z]. Vienna, Austria: 2018. 

9.  McGrath S, Zhao XF, Steele R et al.  metamedian: Meta-Analysis of Medians(Version 0.1.5)[EB/OL]. (2020-01-28)[Access on 2020-04-20]. https://cran.r-project.org/web/packages/metamedian/index.html.

10. 郭梓鑫, 冯雨嘉, 王清华, 等. 应用R软件metaplus程序包实现Meta分析[J]. 中国循证医学杂志, 2018, 18(7): 763-768. DOI: 10.7507/1672-2531.201708086. [Guo ZX, Feng YJ, Wang QH, et al. How to implement meta-analysis using R package metaplus [J]. Chinese Journal of Evidence-Based Medicine, 2018, 18(7): 763-768.] 

11. 董圣杰, 曾宪涛, 郭毅. R软件Metafor程序包在Meta分析中的应用[J]. 中国循证医学杂志, 2012, 12(9): 1141-1147. DOI: 10.7507/1672-2531.20120178. [Dong SJ, Zeng XT, Guo Y. Application of Metafor Package in R Software [J]. Chinese Journal of Evidence-Based Medicine, 2012, 12(9): 1141-1147.] 

Popular Papers
© 2022 - 2026 Zhongnan Medical Journal Press of Zhongnan Hospital of Wuhan University|Support: Yufu Technology
About NM | Contact us