Tobacco-related neoplasms: survival analysis and risk of death of population data from Florianópolis, SC

Detalhes bibliográficos
Autor(a) principal: Schneider,Ione Jayce Ceola
Data de Publicação: 2022
Outros Autores: Schmidt,Tauana Prestes, Correa,Vanessa Pereira, Santos,Ana Maria Martins dos, Rocha,Bruna Vanti da, Garcia,Leandro Pereira, Ceccon,Roger Flores
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista de Saúde Pública
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102022000100213
Resumo: ABSTRACT OBJECTIVE To estimate the probability of survival and prognostic factors for tobacco-related neoplasms in a population-based cohort. METHODS This is a cohort with data from the Population-Based Cancer Registry of Florianópolis, southern Brazil, from 2008 to 2012. The Stata 16.0 software was used to estimate the probabilities of survival in five years after diagnosis, by the Kaplan Meier method, and the risk of death, by the Cox regression. RESULTS A total of 2,829 cancer records related to smoking were included, more prevalent among males, over 70 years of age, nine years or more of schooling, white, with a partner and metastatic diagnosis. The most frequent groupings were colon and rectum (28.7%), trachea, bronchi and lungs (18.6%) and stomach (11.8%). At follow-up, 1,450 died. Pancreatic cancer had the worst probability of survival (14.3%), followed by liver cancer (19.4%). CONCLUSION Risk factors for death and survival rates differ across the 13 types of tobacco-related cancers. Early diagnosis and primary prevention are strategies that must be improved to improve survival and decrease the burden related to these types of cancer.
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spelling Tobacco-related neoplasms: survival analysis and risk of death of population data from Florianópolis, SCTobacco Use DisorderNeoplasms, epidemiologySurvival AnalysisRisk FactorsMortalityProportional Hazards ModelsABSTRACT OBJECTIVE To estimate the probability of survival and prognostic factors for tobacco-related neoplasms in a population-based cohort. METHODS This is a cohort with data from the Population-Based Cancer Registry of Florianópolis, southern Brazil, from 2008 to 2012. The Stata 16.0 software was used to estimate the probabilities of survival in five years after diagnosis, by the Kaplan Meier method, and the risk of death, by the Cox regression. RESULTS A total of 2,829 cancer records related to smoking were included, more prevalent among males, over 70 years of age, nine years or more of schooling, white, with a partner and metastatic diagnosis. The most frequent groupings were colon and rectum (28.7%), trachea, bronchi and lungs (18.6%) and stomach (11.8%). At follow-up, 1,450 died. Pancreatic cancer had the worst probability of survival (14.3%), followed by liver cancer (19.4%). CONCLUSION Risk factors for death and survival rates differ across the 13 types of tobacco-related cancers. Early diagnosis and primary prevention are strategies that must be improved to improve survival and decrease the burden related to these types of cancer.Faculdade de Saúde Pública da Universidade de São Paulo2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102022000100213Revista de Saúde Pública v.56 2022reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USP10.11606/s1518-8787.2022056003651info:eu-repo/semantics/openAccessSchneider,Ione Jayce CeolaSchmidt,Tauana PrestesCorrea,Vanessa PereiraSantos,Ana Maria Martins dosRocha,Bruna Vanti daGarcia,Leandro PereiraCeccon,Roger Floreseng2022-04-05T00:00:00Zoai:scielo:S0034-89102022000100213Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=0034-8910&lng=pt&nrm=isoONGhttps://old.scielo.br/oai/scielo-oai.phprevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2022-04-05T00:00Revista de Saúde Pública - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Tobacco-related neoplasms: survival analysis and risk of death of population data from Florianópolis, SC
title Tobacco-related neoplasms: survival analysis and risk of death of population data from Florianópolis, SC
spellingShingle Tobacco-related neoplasms: survival analysis and risk of death of population data from Florianópolis, SC
Schneider,Ione Jayce Ceola
Tobacco Use Disorder
Neoplasms, epidemiology
Survival Analysis
Risk Factors
Mortality
Proportional Hazards Models
title_short Tobacco-related neoplasms: survival analysis and risk of death of population data from Florianópolis, SC
title_full Tobacco-related neoplasms: survival analysis and risk of death of population data from Florianópolis, SC
title_fullStr Tobacco-related neoplasms: survival analysis and risk of death of population data from Florianópolis, SC
title_full_unstemmed Tobacco-related neoplasms: survival analysis and risk of death of population data from Florianópolis, SC
title_sort Tobacco-related neoplasms: survival analysis and risk of death of population data from Florianópolis, SC
author Schneider,Ione Jayce Ceola
author_facet Schneider,Ione Jayce Ceola
Schmidt,Tauana Prestes
Correa,Vanessa Pereira
Santos,Ana Maria Martins dos
Rocha,Bruna Vanti da
Garcia,Leandro Pereira
Ceccon,Roger Flores
author_role author
author2 Schmidt,Tauana Prestes
Correa,Vanessa Pereira
Santos,Ana Maria Martins dos
Rocha,Bruna Vanti da
Garcia,Leandro Pereira
Ceccon,Roger Flores
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Schneider,Ione Jayce Ceola
Schmidt,Tauana Prestes
Correa,Vanessa Pereira
Santos,Ana Maria Martins dos
Rocha,Bruna Vanti da
Garcia,Leandro Pereira
Ceccon,Roger Flores
dc.subject.por.fl_str_mv Tobacco Use Disorder
Neoplasms, epidemiology
Survival Analysis
Risk Factors
Mortality
Proportional Hazards Models
topic Tobacco Use Disorder
Neoplasms, epidemiology
Survival Analysis
Risk Factors
Mortality
Proportional Hazards Models
description ABSTRACT OBJECTIVE To estimate the probability of survival and prognostic factors for tobacco-related neoplasms in a population-based cohort. METHODS This is a cohort with data from the Population-Based Cancer Registry of Florianópolis, southern Brazil, from 2008 to 2012. The Stata 16.0 software was used to estimate the probabilities of survival in five years after diagnosis, by the Kaplan Meier method, and the risk of death, by the Cox regression. RESULTS A total of 2,829 cancer records related to smoking were included, more prevalent among males, over 70 years of age, nine years or more of schooling, white, with a partner and metastatic diagnosis. The most frequent groupings were colon and rectum (28.7%), trachea, bronchi and lungs (18.6%) and stomach (11.8%). At follow-up, 1,450 died. Pancreatic cancer had the worst probability of survival (14.3%), followed by liver cancer (19.4%). CONCLUSION Risk factors for death and survival rates differ across the 13 types of tobacco-related cancers. Early diagnosis and primary prevention are strategies that must be improved to improve survival and decrease the burden related to these types of cancer.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102022000100213
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102022000100213
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.11606/s1518-8787.2022056003651
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Faculdade de Saúde Pública da Universidade de São Paulo
publisher.none.fl_str_mv Faculdade de Saúde Pública da Universidade de São Paulo
dc.source.none.fl_str_mv Revista de Saúde Pública v.56 2022
reponame:Revista de Saúde Pública
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Revista de Saúde Pública
collection Revista de Saúde Pública
repository.name.fl_str_mv Revista de Saúde Pública - Universidade de São Paulo (USP)
repository.mail.fl_str_mv revsp@org.usp.br||revsp1@usp.br
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