Abstract

CLERIES, Ramon et al. WebSurvCa: web-based estimation of death and survival probabilities in a cohort. Gac Sanit [online]. 2018, vol.32, n.5, pp.492-495.  Epub Dec 07, 2020. ISSN 0213-9111.  https://dx.doi.org/10.1016/j.gaceta.2017.10.015.

Relative survival has been used as a measure of the temporal evolution of the excess risk of death of a cohort of patients diagnosed with cancer, taking into account the mortality of a reference population. Once the excess risk of death has been estimated, three probabilities can be computed at time T: 1) the crude probability of death associated with the cause of initial diagnosis (disease under study), 2) the crude probability of death associated with other causes, and 3) the probability of absolute survival in the cohort at time T. This paper presents the WebSurvCa application (https://shiny.snpstats.net/WebSurvCa/), whereby hospital-based and population-based cancer registries and registries of other diseases can estimate such probabilities in their cohorts by selecting the mortality of the relevant region (reference population).

Keywords : Breast cancer; Net survival; Relative survival; Excess mortality; Competing risk.

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