A literature-based approach to evaluate the predictive capacity of a marker using time-dependent summary receiver operating characteristics. (April 2016)

• Record Type: Journal Article
• Authors: Combescure, C; Daures, JP; Foucher, Y
• Is Part Of: Statistical methods in medical research. Volume 25:Number 2(2016:Apr.)
• Page Start: 674
• Page End: 685
• Publication Date: 2016-04
• Subjects: Meta-analyses -- prognostic marker -- time-dependent ROC curve; Medicine -- Research -- Statistical methods -- Periodicals; Research -- Periodicals; Review Literature -- Periodicals; Statistics -- methods -- Periodicals; Médecine -- Recherche -- Méthodes statistiques -- Périodiques; 610.727
• DOI: 10.1177/0962280212464542
• Languages: English
• ISSNs: 0962-2802

Abstract

Summary: Meta-analyses are popular tools to summarize the results of publications. Prognostic performances of a marker are usually summarized by meta-analyses of survival curves or hazard ratios. These approaches may detect a difference in survival according to the marker but do not allow evaluation of its prognostic capacity. Time-dependent receiver operating characteristic curves evaluate the ability of a marker to predict time-to-event. In this article, we describe an adaptation of time-dependent summary receiver operating characteristic curves from published survival curves. To achieve this goal, we modeled the marker and the time-to-event distributions using non-linear mixed models. First, we applied this methodology to individual data in kidney transplantation presented as aggregated data, in order to validate the method. Second, we re-analyzed a published meta-analysis, which focused on the capacity of KI-67 to predict the overall survival of patients with breast cancer.