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Scientific article
English

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

Published inStatistical methods in medical research, vol. 25, no. 2, p. 674-685
Publication date2016
Abstract

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.

Citation (ISO format)
COMBESCURE, Christophe, DAURES, Jp, FOUCHER, Y. A literature-based approach to evaluate the predictive capacity of a marker using time-dependent summary receiver operating characteristics. In: Statistical methods in medical research, 2016, vol. 25, n° 2, p. 674–685. doi: 10.1177/0962280212464542
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ISSN of the journal0962-2802
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