Tobacco-related neoplasms: survival analysis and risk of death of population data from Florianópolis, SC
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
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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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 |
_version_ |
1748936506711474176 |