Title |
WebSurvCa: estimación vía web de las probabilidades de fallecimiento y de supervivencia de una cohorte
|
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Published in |
Gaceta Sanitaria, January 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
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 5 | 33% |
Student > Bachelor | 3 | 20% |
Other | 1 | 7% |
Lecturer > Senior Lecturer | 1 | 7% |
Unknown | 5 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 3 | 20% |
Biochemistry, Genetics and Molecular Biology | 2 | 13% |
Mathematics | 1 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
Social Sciences | 1 | 7% |
Other | 1 | 7% |
Unknown | 6 | 40% |