65: Mixing the medians and means in meta-analyses

Yi-Ru Lin Co-Author
Graduate Institute of Data Science
 
Jin-Hua Chen First Author
 
Jin-Hua Chen Presenting Author
 
Monday, Aug 4: 10:30 AM - 12:20 PM
1518 
Contributed Posters 
Music City Center 
The definition of " Evidence-based medicine (EBM) is the conscientious, explicit, judicious and reasonable use of modern, best evidence in making decisions about the care of individual patients. (Sackett et al 1996)" Meta-analysis is an important tool of EBM and a method for obtaining the best evidence. Typically, meta-analysis methods rely on the assumption of normal distribution. Therefore, the mean, standard deviation (sd), and sample size are extracted from each study. However, some studies only provide the median, interquartile range (IQR), maximum, and minimum. In these cases, formulae can be used to convert this information into mean and sd, and the meta-analysis can then proceed. To evaluate the feasibility and robustness of this approach, we use a simulation method to obtain mean and sd for different proportions of studies reporting the medians and IQR and for different numbers of studies in a meta-analysis. This knowledge is essential for meta-analysts, providing them with a rule to follow when conducting these types of analyses and enabling them to provide the best evidence for EBM.

Keywords

Evidence-based medicine

meta-analyses

median

mean 

Main Sponsor

Health Policy Statistics Section