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Korean J Anesthesiol > Epub ahead of print
DOI: https://doi.org/10.4097/kja.d.18.00333    [Epub ahead of print]
Published online December 6, 2018.
Assessment of P values of demographic data in randomized controlled trials reported in Korean Journal of Anesthesiology between 2010 to 2017
Eun Jin Ahn1, Jong Hae Kim2, Tae Kyun Kim3, Jae Hong Park4, Dong Kyu Lee5, Sangseok Lee6, Junyong In7, Hyun Kang8
1Department of Anesthesiology and Pain Medicine, Inje University Seoul Paik Hospital, Inje University College of Medicine, Seoul, Korea
2Department of Anesthesiology and Pain Medicine, School of Medicine, Catholic University of Daegu, Daegu, Korea
3Department of Anesthesiology and Pain Medicine, Yangsan Hospital, Pusan National University School of Medicine, Busan, Korea
4Department of Anesthesiology and Pain Medicine, Inje University Haeundae Paik Hospital, Inje University College of Medicine, Seoul, Korea
5Department of Anesthesiology and Pain Medicine, Guro Hospital, Korea University School of Medicine, Seoul, Korea
6Department of Anesthesiology and Pain Medicine, Sanggye Paik Hospital, Inje University College of Medicine, Seoul, Korea
7Department of Anesthesiology and Pain Medicine, Dongguk University Ilsan Hospital, Goyang, Korea
8Department of Anesthesiology and Pain Medicine, Chung-Ang University College of Medicine, Seoul, Korea
Corresponding author:  Hyun Kang, Tel: 82-2-6299-2586, Fax: 82-2-6299-2585, 
Email: roman00@naver.com
Received: 30 November 2018   • Revised: 4 December 2018   • Accepted: 5 December 2018
Abstract
In large number of randomized controlled trials, many of researchers would like to provide P values of demographic data which commonly described in table 1 for the purpose of emphasizing no difference between groups. The authors would intend to demonstrate that statistically insignificant P value in demographic data implicate randomization has been well performed between groups. However, insignificant P value does not necessarily reflect the successful randomization. It is more important to establish a statistical analysis plan thoroughly in the stage of the designing and planning study and to consider if any of the variables included in the demographic data may affect the research results. If a researcher designed and planned a study well and performed it exactly and nicely, the study results would not be influenced by the P values no matter what the p-values are significant or not. The most important steps should be on the stage of designing and planning study. Although well planned and performed, controlled variables might affect results in some studies. In this situation, the researcher can provide both results with initial method and second stage of analysis including such variables. For the brief conclusion, it would be useless to exhibit P values in baseline data table.
Key Words: baseline; bias; characteristics; demographic data; difference; P value; randomization


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