Estimation of cancer incidence in Brazil and its regions in 2018: methodological aspects

Detalhes bibliográficos
Autor(a) principal: Cordeiro Jardim, Beatriz
Data de Publicação: 2024
Outros Autores: Leite Junger, Washington, Paiva Daumas, Regina, Azevedo e Silva, Gulnar
Tipo de documento: Artigo
Idioma: por
Título da fonte: Cadernos de Saúde Pública
Texto Completo: https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/8635
Resumo: The aim of this study was to develop a methodology for estimating cancer incidence in Brazil and its regions. Using data from population-based cancer registries (RCBP, acronym in Portuguese) and the Brazilian Mortality Information System (SIM, acronym in Portuguese), annual incidence/mortality (I/M) ratios were calculated by type of cancer, age group and sex in each RCBP. Poisson longitudinal multilevel models were applied to estimate the I/M ratios by region in 2018. The estimate of new cancer cases in 2018 was calculated by applying the estimated I/M ratios to the number of SIM-corrected deaths that occurred that year. North and Northeast concentrated the lowest I/M ratios. Pancreatic, lung, liver and esophageal cancers had the lowest I/M ratios, whereas the highest were estimated for thyroid, testicular, prostate and female breast cancers. For 2018, 506,462 new cancer cases were estimated in Brazil. Female breast and prostate were the two main types of cancer in all regions. In the North and Northeast, cervical and stomach cancers stood out. Differences in the I/M ratios between regions were observed and may be related to socioeconomic development and access to health services.
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spelling Estimation of cancer incidence in Brazil and its regions in 2018: methodological aspectsEstimación de la incidencia del cáncer en Brasil y regiones en 2018: aspectos metodológicosEstimativa de incidência de câncer no Brasil e regiões em 2018: aspectos metodológicosTécnicas de Estimativa; Câncer; Sistemas de Informação em SaúdeTécnicas de Estimación; Cáncer; Sistemas de Información en SaludEstimation Techniques; Cancer; Health Information SystemsThe aim of this study was to develop a methodology for estimating cancer incidence in Brazil and its regions. Using data from population-based cancer registries (RCBP, acronym in Portuguese) and the Brazilian Mortality Information System (SIM, acronym in Portuguese), annual incidence/mortality (I/M) ratios were calculated by type of cancer, age group and sex in each RCBP. Poisson longitudinal multilevel models were applied to estimate the I/M ratios by region in 2018. The estimate of new cancer cases in 2018 was calculated by applying the estimated I/M ratios to the number of SIM-corrected deaths that occurred that year. North and Northeast concentrated the lowest I/M ratios. Pancreatic, lung, liver and esophageal cancers had the lowest I/M ratios, whereas the highest were estimated for thyroid, testicular, prostate and female breast cancers. For 2018, 506,462 new cancer cases were estimated in Brazil. Female breast and prostate were the two main types of cancer in all regions. In the North and Northeast, cervical and stomach cancers stood out. Differences in the I/M ratios between regions were observed and may be related to socioeconomic development and access to health services.El objetivo de este estudio fue desarrollar una metodología para estimar la incidencia de cáncer en Brasil y sus regiones. A partir de datos de los registros de cáncer de base poblacional (RCBP) y el Sistema de Informaciones de Mortalidad (SIM), se calcularon las tasas anuales de incidencia y mortalidad (I/M), tipo de cáncer, grupo de edad y sexo en cada RCBP. Para estimar las tasas de I/M por región en 2018, se aplicaron modelos multinivel longitudinales de Poisson. Los nuevos casos de cáncer en 2018 se estimaron mediante la aplicación de las tasas I/M que se esperan para el número de muertes corregidas de SIM que habían ocurrido ese año. Las regiones Norte y Nordeste concentraron las más bajas tasas de I/M. Los cánceres de páncreas, pulmón, hígado y esófago tuvieron las más bajas tasas de I/M, mientras que las más altas tasas de I/M se estimaron para los cánceres de tiroides, testículos, próstata y mama femenina. Para 2018, se estimaron 506.462 nuevos casos de cáncer en Brasil. La mama femenina y la próstata representaron técnicas de estimación y configuraron ser los tipos principales de cáncer en todas las regiones. En el Norte y el Nordeste se destacaron los cánceres de cuello uterino y estómago. Se observaron diferencias en las tasas de I/M entre regiones, las cuales pueden estar relacionadas con el desarrollo socioeconómico y el acceso a los servicios de saludO objetivo deste estudo foi desenvolver metodologia para estimar a incidência de câncer no Brasil e regiões. A partir de dados dos registros de câncer de base populacional (RCBP) e do Sistema de Informações sobre Mortalidade (SIM) foram calculadas razões de incidência e mortalidade (I/M) anuais, tipo de câncer, faixa etária e sexo em cada RCBP. Para estimar as razões I/M por região em 2018, foram aplicados modelos multiníveis longitudinais de Poisson. A estimativa de casos novos de câncer, em 2018, foi calculada aplicando-se as razões I/M estimadas ao número de óbitos corrigidos do SIM ocorridos naquele ano. Norte e Nordeste concentraram as menores razões I/M. Os cânceres de pâncreas, pulmão, fígado e esôfago tiveram as menores razões I/M, enquanto as maiores razões I/M foram estimadas para câncer de tireoide, testículo, próstata e mama feminina. Para 2018, foram estimados 506.462 casos novos de câncer no Brasil. Mama feminina e próstata foram os dois principais tipos de câncer em todas as regiões. No Norte e no Nordeste, destacaram-se os cânceres do colo do útero e de estômago. Diferenças nas razões I/M entre as regiões foram observadas e podem estar relacionadas ao desenvolvimento socioeconômico e ao acesso a serviços de saúdeReports in Public HealthCadernos de Saúde Pública2024-07-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/xmlhttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/8635Reports in Public Health; Vol. 40 No. 6 (2024): JuneCadernos de Saúde Pública; v. 40 n. 6 (2024): Junho1678-44640102-311Xreponame:Cadernos de Saúde Públicainstname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZporhttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/8635/19470https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/8635/19527Copyright (c) 2024 Cadernos de Saúde Públicainfo:eu-repo/semantics/openAccessCordeiro Jardim, BeatrizLeite Junger, WashingtonPaiva Daumas, ReginaAzevedo e Silva, Gulnar2024-07-29T13:49:53Zoai:ojs.teste-cadernos.ensp.fiocruz.br:article/8635Revistahttps://cadernos.ensp.fiocruz.br/ojs/index.php/cspPUBhttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/oaicadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br1678-44640102-311Xopendoar:2024-07-29T13:49:53Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ)false
dc.title.none.fl_str_mv Estimation of cancer incidence in Brazil and its regions in 2018: methodological aspects
Estimación de la incidencia del cáncer en Brasil y regiones en 2018: aspectos metodológicos
Estimativa de incidência de câncer no Brasil e regiões em 2018: aspectos metodológicos
title Estimation of cancer incidence in Brazil and its regions in 2018: methodological aspects
spellingShingle Estimation of cancer incidence in Brazil and its regions in 2018: methodological aspects
Cordeiro Jardim, Beatriz
Técnicas de Estimativa; Câncer; Sistemas de Informação em Saúde
Técnicas de Estimación; Cáncer; Sistemas de Información en Salud
Estimation Techniques; Cancer; Health Information Systems
title_short Estimation of cancer incidence in Brazil and its regions in 2018: methodological aspects
title_full Estimation of cancer incidence in Brazil and its regions in 2018: methodological aspects
title_fullStr Estimation of cancer incidence in Brazil and its regions in 2018: methodological aspects
title_full_unstemmed Estimation of cancer incidence in Brazil and its regions in 2018: methodological aspects
title_sort Estimation of cancer incidence in Brazil and its regions in 2018: methodological aspects
author Cordeiro Jardim, Beatriz
author_facet Cordeiro Jardim, Beatriz
Leite Junger, Washington
Paiva Daumas, Regina
Azevedo e Silva, Gulnar
author_role author
author2 Leite Junger, Washington
Paiva Daumas, Regina
Azevedo e Silva, Gulnar
author2_role author
author
author
dc.contributor.author.fl_str_mv Cordeiro Jardim, Beatriz
Leite Junger, Washington
Paiva Daumas, Regina
Azevedo e Silva, Gulnar
dc.subject.por.fl_str_mv Técnicas de Estimativa; Câncer; Sistemas de Informação em Saúde
Técnicas de Estimación; Cáncer; Sistemas de Información en Salud
Estimation Techniques; Cancer; Health Information Systems
topic Técnicas de Estimativa; Câncer; Sistemas de Informação em Saúde
Técnicas de Estimación; Cáncer; Sistemas de Información en Salud
Estimation Techniques; Cancer; Health Information Systems
description The aim of this study was to develop a methodology for estimating cancer incidence in Brazil and its regions. Using data from population-based cancer registries (RCBP, acronym in Portuguese) and the Brazilian Mortality Information System (SIM, acronym in Portuguese), annual incidence/mortality (I/M) ratios were calculated by type of cancer, age group and sex in each RCBP. Poisson longitudinal multilevel models were applied to estimate the I/M ratios by region in 2018. The estimate of new cancer cases in 2018 was calculated by applying the estimated I/M ratios to the number of SIM-corrected deaths that occurred that year. North and Northeast concentrated the lowest I/M ratios. Pancreatic, lung, liver and esophageal cancers had the lowest I/M ratios, whereas the highest were estimated for thyroid, testicular, prostate and female breast cancers. For 2018, 506,462 new cancer cases were estimated in Brazil. Female breast and prostate were the two main types of cancer in all regions. In the North and Northeast, cervical and stomach cancers stood out. Differences in the I/M ratios between regions were observed and may be related to socioeconomic development and access to health services.
publishDate 2024
dc.date.none.fl_str_mv 2024-07-05
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/8635
url https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/8635
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/8635/19470
https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/8635/19527
dc.rights.driver.fl_str_mv Copyright (c) 2024 Cadernos de Saúde Pública
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2024 Cadernos de Saúde Pública
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/xml
dc.publisher.none.fl_str_mv Reports in Public Health
Cadernos de Saúde Pública
publisher.none.fl_str_mv Reports in Public Health
Cadernos de Saúde Pública
dc.source.none.fl_str_mv Reports in Public Health; Vol. 40 No. 6 (2024): June
Cadernos de Saúde Pública; v. 40 n. 6 (2024): Junho
1678-4464
0102-311X
reponame:Cadernos de Saúde Pública
instname:Fundação Oswaldo Cruz (FIOCRUZ)
instacron:FIOCRUZ
instname_str Fundação Oswaldo Cruz (FIOCRUZ)
instacron_str FIOCRUZ
institution FIOCRUZ
reponame_str Cadernos de Saúde Pública
collection Cadernos de Saúde Pública
repository.name.fl_str_mv Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ)
repository.mail.fl_str_mv cadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br
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