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ORIGINAL ARTICLE
Year : 2020  |  Volume : 40  |  Issue : 3  |  Page : 119-126

A superior odds ratio compared to the risk ratio when estimating moderator effects in meta-regression analyses of randomized controlled trials


1 Division of Infectious Diseases, Department of Internal Medicine, Taoyuan Armed Forces General Hospital, Taoyuan, Taiwan, ROC, Taiwan
2 Department of Orthopedics, Taichung Armed Forces General Hospital, Taichung, Taiwan, ROC, Taiwan
3 Renal Division, Department of Internal Medicine, Taoyuan Armed Forces General Hospital, Taoyuan, Taiwan, ROC, Taiwan
4 Graduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan, ROC, Taiwan
5 School of Public Health, National Defense Medical Center, Taipei, Taiwan, ROC, Taiwan
6 Department of Family and Community Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC, Taiwan
7 Division of Thoracic Medicine, Department of Medicine, Cheng Hsin General Hospital, Taipei, Taiwan, ROC, Taiwan
8 Renal Division, Department of Internal Medicine, Taoyuan Armed Forces General Hospital, Taoyuan, Taiwan, ROC, Taiwan
9 Department of Pediatrics, Taoyuan Armed Forces General Hospital, Taoyuan; Division of Pediatrics, Department of Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC, Taiwan
10 Graduate Institute of Life Sciences; School of Pharmacy, National Defense Medical Center, Taipei, Taiwan, ROC, Taiwan
11 Department of Nursing, Tri-Service General Hospital, Taipei, Taiwan, ROC, Taiwan
12 Division of Nephrology, Department of Medicine, Zuoying Branch of Kaohsiung Armed Forces General Hospital, Kaohsiung, Taiwan, ROC, Taiwan
13 Department and Gradute Institute of Pharmacology, National Defense Medical Center, Taipei, Taiwan, ROC, Taiwan

Correspondence Address:
Dr. Chin Lin
National Defense Medical Center, Graduate Institute of Life Sciences, No. 161, Min-Chun E. Road, Section 6, Neihu, Taipei 114
Taiwan
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jmedsci.jmedsci_133_19

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Background: Moderator effect assessment is important in personalized medicine. We mathematically prove that the average summary value is actually nonlinearly to logRR, and we assess the bias from linear meta-regression on logRR via simulation. Methods: In the meta-analysis of randomized controlled trials, the moderator effect is generally evaluated by the linear meta-regression of the logarithmic risk ratio (RR) versus the average summary value of the entire study population. Conclusions: We recommend using linear meta-regression on logarithmic odds ratio (logOR) since it has been shown that the average summary value is actually linear to logOR.


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