A new approach to estimate time-to-cure from cancer registries data - Université de Bourgogne
Article Dans Une Revue Cancer Epidemiology, Biomarkers and Prevention Année : 2018

A new approach to estimate time-to-cure from cancer registries data

Résumé

BackgroundCure models have been adapted to net survival context to provide important indicators from population-based cancer data, such as the cure fraction and the time-to-cure. However existing methods for computing time-to-cure suffer from some limitations.MethodsCure models in net survival framework were briefly overviewed and a new definition of time-to-cure was introduced as the time TTC at which P(t), the estimated covariate-specific probability of being cured at a given time t after diagnosis, reaches 0.95. We applied flexible parametric cure models to data of four cancer sites provided by the French network of cancer registries (FRANCIM). Then estimates of the time-to-cure by TTC and by two existing methods were derived and compared. Cure fractions and probabilities P(t) were also computed.ResultsDepending on the age group, TTC ranged from to 8 to 10 years for colorectal and pancreatic cancer and was nearly 12 years for breast cancer. In thyroid cancer patients under 55 years at diagnosis, TTC was strikingly 0: the probability of being cured was >0.95 just after diagnosis. This is an interesting result regarding the health insurance premiums of these patients. The estimated values of time-to-cure from the three approaches were close for colorectal cancer only.ConclusionsWe propose a new approach, based on estimated covariate-specific probability of being cured, to estimate time-to-cure. Compared to two existing methods, the new approach seems to be more intuitive and natural and less sensitive to the survival time distribution.

Domaines

Cancer
Fichier non déposé

Dates et versions

hal-01707745 , version 1 (13-02-2018)

Identifiants

Citer

Olayidé Boussari, Gaëlle Romain, Laurent Remontet, Nadine Bossard, Morgane Mounier, et al.. A new approach to estimate time-to-cure from cancer registries data. Cancer Epidemiology, Biomarkers and Prevention, 2018, 53, pp.72 - 80. ⟨10.1016/j.canep.2018.01.013⟩. ⟨hal-01707745⟩
458 Consultations
0 Téléchargements

Altmetric

Partager

More