Bibliographic citations
Cordero, A., Savitzky, M., Stenning, K. (2017). Razón Mortalidad-Incidencia como indicador de supervivencia de cáncer a cinco años en Lima Metropolitana [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/621322
Cordero, A., Savitzky, M., Stenning, K. Razón Mortalidad-Incidencia como indicador de supervivencia de cáncer a cinco años en Lima Metropolitana [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2017. http://hdl.handle.net/10757/621322
@misc{renati/365051,
title = "Razón Mortalidad-Incidencia como indicador de supervivencia de cáncer a cinco años en Lima Metropolitana",
author = "Stenning Persivale, Karoline Andrea",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2017"
}
Introduction: Mortality-Incidence Ratio complement [1 - (M / I)] has been suggested as a valid proxy to find the five-year cancer survival. Its validity has not been assessed in Peru, so this study seeks to establish whether this ratio has a direct correlation with five-year cancer survival in Metropolitan Lima. Methods: The Metropolitan Lima Cancer Registry of 2004-2005 was used to obtain the incidence and mortality rates by type of neoplasia and survival rates. From these, we looked to correlate [1 - (M / I)] with five-year observed survival rates of ten types of selected cancers (Breast, stomach, prostate, thyroid, lung, colon, non-Hodgkin lymphoma, cervical, liver and leukemia), using a linear regression model. Results: Considering the types of cancer studied, the regression line approximates the perfect line with indicating a good correlation between the studied parameters. The types of neoplasm that obtained a better correlation between [1- (M / I)] and observed survival were: Breast, prostate, liver, thyroid and leukemia. Conclusion: The Mortality- Incidence Ratio complement [1- (M / I)] is a good tool for approximating the five-year survival rate for the ten types of cancer studied. This study demonstrates the validity of the method, showing that the model can be applied in Metropolitan Lima and for the types of malignancies studied.
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