The mortality-incidence ratio as an indicator of five-year cancer survival in metropolitan Lima
Descripción del Articulo
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...
Autores: | , , , , , , |
---|---|
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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UPC-Institucional |
repository_id_str |
2670 |
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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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. This study demonstrates the validity of this model for predicting five-year survival in cancer patients in metropolitan Lima.LICENSElicense.txtlicense.txttext/plain; charset=utf-81745https://repositorioacademico.upc.edu.pe/bitstream/10757/622636/1/license.txt248222b1f11c2ad8cb204366338ffb12MD51falseORIGINALmanuscript.pdfmanuscript.pdfapplication/pdf563713https://repositorioacademico.upc.edu.pe/bitstream/10757/622636/2/manuscript.pdff0530e27251fee659e6d9bf00913ac4aMD52trueTEXTmanuscript.pdf.txtmanuscript.pdf.txtExtracted Texttext/plain25985https://repositorioacademico.upc.edu.pe/bitstream/10757/622636/3/manuscript.pdf.txtc28a8fb6e9369755505ecdc40b967f3cMD53falseTHUMBNAILmanuscript.pdf.jpgmanuscript.pdf.jpgGenerated Thumbnailimage/jpeg93783https://repositorioacademico.upc.edu.pe/bitstream/10757/622636/4/manuscript.pdf.jpgdacf05968492add7420c229307938ec0MD54false10757/622636oai:repositorioacademico.upc.edu.pe:10757/6226362019-08-30 07:48:17.694Repositorio académico upcupc@openrepository.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 |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).