The mortality-incidence ratio as an indicator of five-year cancer survival in metropolitan Lima

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Introduction: The Mortality–Incidence Ratio complement [1 – MIR] is an indicator validated in various populations to estimate five-year cancer survival, but its validity remains unreported in Peru. This study aims to determine if the MIR correlates directly with five-year survival in patients diagno...

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Detalles Bibliográficos
Autores: Stenning Persivale, Karoline Andrea, Savitzky Franco, Maria Jose, Cordero-Morales, Alejandra, Cruzado-Burga, José, Poquioma, Ebert, Díaz Nava, Edgar, Payet, Edouardo
Formato: artículo
Fecha de Publicación:2018
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/622636
Enlace del recurso:http://hdl.handle.net/10757/622636
Nivel de acceso:acceso abierto
Materia:Cancer
Cancer registries
Incidence
Mortality
Mortality/incidence ratio
Peru
Survival
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dc.title.es.fl_str_mv The mortality-incidence ratio as an indicator of five-year cancer survival in metropolitan Lima
title The mortality-incidence ratio as an indicator of five-year cancer survival in metropolitan Lima
spellingShingle The mortality-incidence ratio as an indicator of five-year cancer survival in metropolitan Lima
Stenning Persivale, Karoline Andrea
Cancer
Cancer registries
Incidence
Mortality
Mortality/incidence ratio
Peru
Survival
title_short The mortality-incidence ratio as an indicator of five-year cancer survival in metropolitan Lima
title_full The mortality-incidence ratio as an indicator of five-year cancer survival in metropolitan Lima
title_fullStr The mortality-incidence ratio as an indicator of five-year cancer survival in metropolitan Lima
title_full_unstemmed The mortality-incidence ratio as an indicator of five-year cancer survival in metropolitan Lima
title_sort The mortality-incidence ratio as an indicator of five-year cancer survival in metropolitan Lima
author Stenning Persivale, Karoline Andrea
author_facet Stenning Persivale, Karoline Andrea
Savitzky Franco, Maria Jose
Cordero-Morales, Alejandra
Cruzado-Burga, José
Poquioma, Ebert
Díaz Nava, Edgar
Payet, Edouardo
author_role author
author2 Savitzky Franco, Maria Jose
Cordero-Morales, Alejandra
Cruzado-Burga, José
Poquioma, Ebert
Díaz Nava, Edgar
Payet, Edouardo
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Stenning Persivale, Karoline Andrea
Savitzky Franco, Maria Jose
Cordero-Morales, Alejandra
Cruzado-Burga, José
Poquioma, Ebert
Díaz Nava, Edgar
Payet, Edouardo
dc.subject.es.fl_str_mv Cancer
Cancer registries
Incidence
Mortality
Mortality/incidence ratio
Peru
Survival
topic Cancer
Cancer registries
Incidence
Mortality
Mortality/incidence ratio
Peru
Survival
description Introduction: The Mortality–Incidence Ratio complement [1 – MIR] is an indicator validated in various populations to estimate five-year cancer survival, but its validity remains unreported in Peru. This study aims to determine if the MIR correlates directly with five-year survival in patients diagnosed with the ten most common types of cancer in metropolitan Lima. Materials and methods: The Metropolitan Lima Cancer Registry (RCLM in Spanish) for 2004–2005 was used to determine the number of new cases and the number of deaths of the following cancers: breast, stomach, prostate, thyroid, lung, colon, cervical, and liver cancers, as well as non-Hodgkin’s lymphoma and leukaemia. To determine the five-year survival, the five-year vital status of cases recorded was verified in the National Registry of Identification and Civil Status (RENIEC in Spanish). A linear regression model was used to assess the correlation between [1 – MIR] and total observed five-year survival for the selected cancers. Results: Observed and estimated five-year survival determined by [1 – MIR] for each neoplasia were thyroid (66.7%, 86.7%), breast (69.6%; 68%), prostate (64.3%, 63.8%) and cervical (50.1%, 58.5%), respectively. Pearson’s r coefficient for the correlation between [MIR – 1] and observed survival was = 0.9839. Using the coefficient of determination, it was found that [1 – MIR] (X) captures the 96.82% of observed survival (Y). Conclusion: The Mortality–Incidence Ratio complement [1 – MIR] is an appropriate tool for approximating observed five-year survival for the ten types of cancers studied. This study demonstrates the validity of this model for predicting five-year survival in cancer patients in metropolitan Lima.
publishDate 2018
dc.date.accessioned.none.fl_str_mv 2018-02-12T14:57:26Z
dc.date.available.none.fl_str_mv 2018-02-12T14:57:26Z
dc.date.issued.fl_str_mv 2018-01-18
dc.type.es.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.citation.es.fl_str_mv The mortality-incidence ratio as an indicator of five-year cancer survival in metropolitan Lima 2018, 12 ecancermedicalscience
dc.identifier.issn.none.fl_str_mv 17546605
dc.identifier.doi.none.fl_str_mv 10.3332/ecancer.2018.799
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/622636
dc.identifier.journal.es.fl_str_mv ecancermedicalscience
identifier_str_mv The mortality-incidence ratio as an indicator of five-year cancer survival in metropolitan Lima 2018, 12 ecancermedicalscience
17546605
10.3332/ecancer.2018.799
ecancermedicalscience
url http://hdl.handle.net/10757/622636
dc.language.iso.es.fl_str_mv eng
language eng
dc.relation.url.es.fl_str_mv http://www.ecancer.org/journal/12/full/799-the-mortality-incidence-ratio-as-an-indicator-of-five-year-cancer-survival-in-metropolitan-lima.php
dc.rights.es.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.es.fl_str_mv application/pdf
dc.publisher.es.fl_str_mv Cancer Intelligence
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
instacron:UPC
instname_str Universidad Peruana de Ciencias Aplicadas
instacron_str UPC
institution UPC
reponame_str UPC-Institucional
collection UPC-Institucional
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spelling Stenning Persivale, Karoline AndreaSavitzky Franco, Maria JoseCordero-Morales, AlejandraCruzado-Burga, JoséPoquioma, EbertDíaz Nava, EdgarPayet, Edouardo2018-02-12T14:57:26Z2018-02-12T14:57:26Z2018-01-18The mortality-incidence ratio as an indicator of five-year cancer survival in metropolitan Lima 2018, 12 ecancermedicalscience1754660510.3332/ecancer.2018.799http://hdl.handle.net/10757/622636ecancermedicalscienceIntroduction: The Mortality–Incidence Ratio complement [1 – MIR] is an indicator validated in various populations to estimate five-year cancer survival, but its validity remains unreported in Peru. This study aims to determine if the MIR correlates directly with five-year survival in patients diagnosed with the ten most common types of cancer in metropolitan Lima. Materials and methods: The Metropolitan Lima Cancer Registry (RCLM in Spanish) for 2004–2005 was used to determine the number of new cases and the number of deaths of the following cancers: breast, stomach, prostate, thyroid, lung, colon, cervical, and liver cancers, as well as non-Hodgkin’s lymphoma and leukaemia. To determine the five-year survival, the five-year vital status of cases recorded was verified in the National Registry of Identification and Civil Status (RENIEC in Spanish). A linear regression model was used to assess the correlation between [1 – MIR] and total observed five-year survival for the selected cancers. Results: Observed and estimated five-year survival determined by [1 – MIR] for each neoplasia were thyroid (66.7%, 86.7%), breast (69.6%; 68%), prostate (64.3%, 63.8%) and cervical (50.1%, 58.5%), respectively. Pearson’s r coefficient for the correlation between [MIR – 1] and observed survival was = 0.9839. Using the coefficient of determination, it was found that [1 – MIR] (X) captures the 96.82% of observed survival (Y). Conclusion: The Mortality–Incidence Ratio complement [1 – MIR] is an appropriate tool for approximating observed five-year survival for the ten types of cancers studied. This study demonstrates the validity of this model for predicting five-year survival in cancer patients in metropolitan Lima.We would like to thank the Department of Epidemiology and Statistics of the National Cancer Institute (INEN) and the entire departmental staff.Revisión por paresapplication/pdfengCancer Intelligencehttp://www.ecancer.org/journal/12/full/799-the-mortality-incidence-ratio-as-an-indicator-of-five-year-cancer-survival-in-metropolitan-lima.phpinfo:eu-repo/semantics/openAccessCancer66d6fdca-b0ce-4064-9a2b-7a55e4c8d298600Cancer registriesfd731733-aa4b-4bed-8e93-2fe4f0a90e3f600Incidence3c2e73a7-8e01-432a-b507-fc36ed3b300a600Mortalitya8f03c55-dc26-4117-a33f-ce911cbf65c8600Mortality/incidence ratio52b0edb5-5d5a-4c67-a131-9ed7447e5bba600Perud6e19394-1ad0-4de6-8bb9-5ec7e2e6d476600Survival48a39005-b005-4e92-bbba-836c710317e0600The mortality-incidence ratio as an indicator of five-year cancer survival in metropolitan Limainfo:eu-repo/semantics/articlereponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPC2018-06-15T20:30:49ZIntroduction: The Mortality–Incidence Ratio complement [1 – MIR] is an indicator validated in various populations to estimate five-year cancer survival, but its validity remains unreported in Peru. This study aims to determine if the MIR correlates directly with five-year survival in patients diagnosed with the ten most common types of cancer in metropolitan Lima. Materials and methods: The Metropolitan Lima Cancer Registry (RCLM in Spanish) for 2004–2005 was used to determine the number of new cases and the number of deaths of the following cancers: breast, stomach, prostate, thyroid, lung, colon, cervical, and liver cancers, as well as non-Hodgkin’s lymphoma and leukaemia. To determine the five-year survival, the five-year vital status of cases recorded was verified in the National Registry of Identification and Civil Status (RENIEC in Spanish). A linear regression model was used to assess the correlation between [1 – MIR] and total observed five-year survival for the selected cancers. Results: Observed and estimated five-year survival determined by [1 – MIR] for each neoplasia were thyroid (66.7%, 86.7%), breast (69.6%; 68%), prostate (64.3%, 63.8%) and cervical (50.1%, 58.5%), respectively. Pearson’s r coefficient for the correlation between [MIR – 1] and observed survival was = 0.9839. Using the coefficient of determination, it was found that [1 – MIR] (X) captures the 96.82% of observed survival (Y). Conclusion: The Mortality–Incidence Ratio complement [1 – MIR] is an appropriate tool for approximating observed five-year survival for the ten types of cancers studied. 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