Development and validation of a dynamic prognostic tool for prostate cancer recurrence using repeated measures of posttreatment PSA: a joint modeling approach.Reportar como inadecuado




Development and validation of a dynamic prognostic tool for prostate cancer recurrence using repeated measures of posttreatment PSA: a joint modeling approach. - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

* Corresponding author 1 Epidémiologie et Biostatistique Bordeaux 2 Department of Biostatistics 3 Radonc - Department of Radiation Oncology Michigan

Abstract : Prostate-specific antigen PSA is a biomarker routinely and repeatedly measured on prostate cancer patients treated by radiation therapy RT. It was shown recently that its whole pattern over time rather than just its current level was strongly associated with prostate cancer recurrence. To more accurately guide clinical decision making, monitoring of PSA after RT would be aided by dynamic powerful prognostic tools that incorporate the complete posttreatment PSA evolution. In this work, we propose a dynamic prognostic tool derived from a joint latent class model and provide a measure of variability obtained from the parameters asymptotic distribution. To validate this prognostic tool, we consider predictive accuracy measures and provide an empirical estimate of their variability. We also show how to use them in the longitudinal context to compare the dynamic prognostic tool we developed with a proportional hazard model including either baseline covariates or baseline covariates and the expected level of PSA at the time of prediction in a landmark model. Using data from 3 large cohorts of patients treated after the diagnosis of prostate cancer, we show that the dynamic prognostic tool based on the joint model reduces the error of prediction and offers a powerful tool for individual prediction.

Keywords : Joint latent class model Mixed model Predictive accuracy Error of prediction Posterior probability Prostate cancer prognosis





Autor: Cécile Proust-Lima - Jeremy Taylor -

Fuente: https://hal.archives-ouvertes.fr/



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