作者
Gordon H Guyatt, Kristian Thorlund, Andrew D Oxman, Stephen D Walter, Donald Patrick, Toshi A Furukawa, Bradley C Johnston, Paul Karanicolas, Elie A Akl, Gunn Vist, Regina Kunz, Jan Brozek, Lawrence L Kupper, Sandra L Martin, Joerg J Meerpohl, Pablo Alonso-Coello, Robin Christensen, Holger J Schunemann
发表日期
2013/2/1
来源
Journal of clinical epidemiology
卷号
66
期号
2
页码范围
173-183
出版商
Pergamon
简介
Presenting continuous outcomes in Summary of Findings tables presents particular challenges to interpretation. When each study uses the same outcome measure, and the units of that measure are intuitively interpretable (e.g., duration of hospitalization, duration of symptoms), presenting differences in means is usually desirable. When the natural units of the outcome measure are not easily interpretable, choosing a threshold to create a binary outcome and presenting relative and absolute effects become a more attractive alternative. When studies use different measures of the same construct, calculating summary measures requires converting to the same units of measurement for each study. The longest standing and most widely used approach is to divide the difference in means in each study by its standard deviation and present pooled results in standard deviation units (standardized mean difference …
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