| Literature DB >> 29357998 |
Ramon Clèries1, Alberto Ameijide2, Maria Buxó3, Mireia Vilardell4, José Miguel Martínez5, Francisco Alarcón6, David Cordero6, Ana Díez-Villanueva6, Yutaka Yasui7, Rafael Marcos-Gragera8, Maria Loreto Vilardell8, Marià Carulla2, Jaume Galceran2, Ángel Izquierdo9, Víctor Moreno10, Josep M Borràs11.
Abstract
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).Entities:
Keywords: Breast cancer; Competing risk; Cáncer de mama; Exceso de mortalidad; Excess mortality; Net survival; Relative survival; Riesgos competitivos; Supervivencia neta; Supervivencia relativa
Mesh:
Year: 2018 PMID: 29357998 DOI: 10.1016/j.gaceta.2017.10.015
Source DB: PubMed Journal: Gac Sanit ISSN: 0213-9111 Impact factor: 2.139