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WebSurvCa: estimación vía web de las probabilidades de fallecimiento y de supervivencia de una cohorte

Overview of attention for article published in Gaceta Sanitaria, September 2018
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Title
WebSurvCa: estimación vía web de las probabilidades de fallecimiento y de supervivencia de una cohorte
Published in
Gaceta Sanitaria, September 2018
DOI 10.1016/j.gaceta.2017.10.015
Pubmed ID
Authors

Ramon Clèries, Alberto Ameijide, Maria Buxó, Mireia Vilardell, José Miguel Martínez, Francisco Alarcón, David Cordero, Ana Díez-Villanueva, Yutaka Yasui, Rafael Marcos-Gragera, Maria Loreto Vilardell, Marià Carulla, Jaume Galceran, Ángel Izquierdo, Víctor Moreno, Josep M. Borràs

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).

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 36%
Student > Bachelor 3 21%
Other 1 7%
Lecturer > Senior Lecturer 1 7%
Unknown 4 29%
Readers by discipline Count As %
Medicine and Dentistry 3 21%
Biochemistry, Genetics and Molecular Biology 2 14%
Mathematics 1 7%
Agricultural and Biological Sciences 1 7%
Social Sciences 1 7%
Other 1 7%
Unknown 5 36%