Sample size, mean and standard deviation are necessary when conducting meta-analysis for continuous outcomes. Advanced methods of data extraction were needed if the mean and the standard deviation couldn’t be obtained from a literature directly. Eight methods were introduced and two examples were given to illustrate how to apply the methods.
Citation：
LIU Haining, WU Hao, YAO Can, CHEN Yuzhuo, LIU Taotao. Advanced methods of data extraction for continuous outcomes in meta-analysis. Chinese Journal of Evidence-Based Medicine, 2017, 17(1): 117-121. doi: 10.7507/1672-2531.201612004
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- 1. Higgins J, Green S. Cochrane Handbook for Systematic Reviews of Interventions, Version 5.1.0. The Cochrane Collaboration, 2011[cited 2016 Dec 6]. Available at: ttp://handbook.cochrane.org/.
- 2. Hozo S P, Djulbegovic B, Hozo I. Estimating the mean and variance from the median, range, and the size of a sample. BMC Med Res Methodol, 2005, 5: 13.
- 3. Wan X, Wang W, Liu J, et al. Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC Med Res Methodol, 2014, 14: 135.
- 4. Higgins JP, White IR, Anzures-Cabrera J. Meta-analysis of skewed data: combining results reported on log-transformed or raw scales. Stat Med, 2008, 27(29): 6072-6092.
- 5. Furukawa TA, Barbui C, Cipriani A, et al. Imputing missing standard deviations in meta-analyses can provide accurate results. J Clin Epidemiol, 2006, 59(1): 7-10.
- 6. Malinen E, Rinttila T, Kajander K, et al. Analysis of the fecal microbiota of irritable bowel syndrome patients and healthy controls with real-time PCR. Am J Gastroenterol, 2005, 100(2): 373-382.
- 7. Ramzy I, Hasaballah M, Marzaban R, et al. Evaluation of microRNAs-29a, 92a and 145 in colorectal carcinoma as candidate diagnostic markers: An Egyptian pilot study. Clin Res Hepatol Gastroenterol, 2015, 39(4): 508-515.
