Survival Analysis of Treatment Efficacy in Comparative Coronavirus Disease 2019 Studies

Author:

McCaw Zachary R1ORCID,Tian Lu2,Kim Dae Hyun3,Localio A Russell4,Wei Lee-Jen5ORCID

Affiliation:

1. Google, Mountain View, California, USA

2. Department of Biomedical Data Science, Stanford University, Stanford, California, USA

3. Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Harvard Medical School, Boston, Massachusetts, USA

4. Division of Biostatistics, Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA

5. Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA

Abstract

Abstract For survival analysis in comparative coronavirus disease 2019 trials, the routinely used hazard ratio may not provide a meaningful summary of the treatment effect. The mean survival time difference/ratio is an intuitive, assumption-free alternative. However, for short-term studies, landmark mortality rate differences/ratios are more clinically relevant and should be formally analyzed and reported.

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Microbiology (medical)

Reference7 articles.

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2. Enhanced secondary analysis of survival data: reconstructing the data from published Kaplan-Meier survival curves;Guyot;BMC Med Res Methodol,2012

3. Moving beyond the hazard ratio in quantifying the between-group difference in survival analysis;Uno;J Clin Oncol,2014

4. Restricted mean survival time as a measure to interpret clinical trial results;Kim;JAMA Cardiol,2017

5. Interpretability of cancer clinical trial results using restricted mean survival time as an alternative to the hazard ratio;Pak;JAMA Oncol,2017

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