Literature DB >> 16942721

[Relative survival computation. Comparison of methods for estimating expected survival].

Ramón Clèries1, Josepa Ribes, Víctor Moreno, Laura Esteban, Laura Pareja, Jordi Gálvez, José Miguel Martínez, Francesc Xavier Bosch, Josep M Borràs.   

Abstract

Relative survival is the most commonly used method to determine survival in patients diagnosed with cancer. This method takes into account estimation of expected survival in cancer patients based on the observed mortality in the geographical area to which they belong. The most frequently used methods for estimation of expected survival are the Ederer (I and II) and Hakulinen methods. Survival tables for the geographical areas stratified by age and calendar year are required for these calculations. The present article presents an example of how to perform these estimations and how to choose the most appropriate method for the type of analysis to be performed. This article shows that if the follow-up of the cohort is less than 10 years, any of these methods should give similar results. However, the Hakulinen method is preferred, since it accounts for heterogeneity due to potential withdrawals.

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Year:  2006        PMID: 16942721     DOI: 10.1157/13091149

Source DB:  PubMed          Journal:  Gac Sanit        ISSN: 0213-9111            Impact factor:   2.139


  4 in total

1.  Laryngeal cancer survival in Zaragoza (Spain): a population-based study.

Authors:  Dyego Leandro Bezerra de Souza; Javier Jerez Roig; María Milagros Bernal
Journal:  Clin Transl Oncol       Date:  2012-03       Impact factor: 3.405

2.  REGSTATTOOLS: freeware statistical tools for the analysis of disease population databases used in health and social studies.

Authors:  Laura Esteban; Ramon Clèries; Jordi Gálvez; Laura Pareja; Josep Maria Escribà; Xavier Sanz; Angel Izquierdo; Jaume Galcerán; Josepa Ribes
Journal:  BMC Public Health       Date:  2013-03-07       Impact factor: 3.295

3.  Oropharyngeal Cancer Survival: A Population-Based Study of Patients Diagnosed between 1978 and 2002.

Authors:  Dyego Leandro Bezerra de Souza; María Milagros Bernal; Javier Jerez Roig; Maria Paula Curado
Journal:  ISRN Oncol       Date:  2012-08-08

4.  Characterisation of long-term cancer survivors and application of statistical cure models: a protocol for an observational follow-up study in patients with colorectal cancer.

Authors:  Sonia Pértega-Díaz; Vanesa Balboa-Barreiro; Rocío Seijo-Bestilleiro; Cristina González-Martín; Remedios Pardeiro-Pértega; Loreto Yáñez-González-Dopeso; Teresa García-Rodríguez; Teresa Seoane-Pillado
Journal:  BMC Public Health       Date:  2020-11-17       Impact factor: 3.295

  4 in total

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