Estimation of age- and stage-specific Catalan breast cancer survival functions using US and Catalan survival data

Background: During the last part of the 1990s the chance of surviving breast cancer increased. Changes in survival functions reflect a mixture of effects. Both, the introduction of adjuvant treatments and early screening with mammography played a role in the decline in mortality. Evaluating the cont...

Descripción completa

Detalles Bibliográficos
Autores: Vilaprinyo Terré, Ester, Rué i Monné, Montserrat, Marcos-Gragera, Rafael, Martínez Alonso, Montserrat
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2009
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10459.1/30295
Acceso en línea:https://doi.org/10.1186/1471-2407-9-98
http://hdl.handle.net/10459.1/30295
Access Level:acceso abierto
Palabra clave:Mama -- Càncer -- Catalunya
id ES_6c0fab4a43d9959cbf2e4082eb3fb862
oai_identifier_str oai:recercat.cat:10459.1/30295
network_acronym_str ES
network_name_str España
repository_id_str
spelling Estimation of age- and stage-specific Catalan breast cancer survival functions using US and Catalan survival dataVilaprinyo Terré, EsterRué i Monné, MontserratMarcos-Gragera, RafaelMartínez Alonso, MontserratMama -- Càncer -- CatalunyaBackground: During the last part of the 1990s the chance of surviving breast cancer increased. Changes in survival functions reflect a mixture of effects. Both, the introduction of adjuvant treatments and early screening with mammography played a role in the decline in mortality. Evaluating the contribution of these interventions using mathematical models requires survival functions before and after their introduction. Furthermore, required survival functions may be different by age groups and are related to disease stage at diagnosis. Sometimes detailed information is not available, as was the case for the region of Catalonia (Spain). Then one may derive the functions using information from other geographical areas. This work presents the methodology used to estimate age- and stage-specific Catalan breast cancer survival functions from scarce Catalan survival data by adapting the age- and stage-specific US functions. Methods: Cubic splines were used to smooth data and obtain continuous hazard rate functions. After, we fitted a Poisson model to derive hazard ratios. The model included time as a covariate. Then the hazard ratios were applied to US survival functions detailed by age and stage to obtain Catalan estimations. Results: We started estimating the hazard ratios for Catalonia versus the USA before and after the introduction of screening. The hazard ratios were then multiplied by the age- and stage-specific breast cancer hazard rates from the USA to obtain the Catalan hazard rates. We also compared breast cancer survival in Catalonia and the USA in two time periods, before cancer control interventions (USA 1975–79, Catalonia 1980–89) and after (USA and Catalonia 1990–2001). Survival in Catalonia in the 1980–89 period was worse than in the USA during 1975–79, but the differences disappeared in 1990–2001. Conclusion: Our results suggest that access to better treatments and quality of care contributed to large improvements in survival in Catalonia. On the other hand, we obtained detailed breast cancer survival functions that will be used for modeling the effect of screening and adjuvant treatments in Catalonia.BioMed Central2009info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://doi.org/10.1186/1471-2407-9-98http://hdl.handle.net/10459.1/30295reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésReproducció del document publicat a https://doi.org/10.1186/1471-2407-9-98BMC Cancer, 2009, vol. 9, núm. 98, p. 1-14cc-by, (c) Vilaprinyo et al., 2009info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/2.0/es/deed.caoai:recercat.cat:10459.1/302952026-05-29T05:05:01Z
dc.title.none.fl_str_mv Estimation of age- and stage-specific Catalan breast cancer survival functions using US and Catalan survival data
title Estimation of age- and stage-specific Catalan breast cancer survival functions using US and Catalan survival data
spellingShingle Estimation of age- and stage-specific Catalan breast cancer survival functions using US and Catalan survival data
Vilaprinyo Terré, Ester
Mama -- Càncer -- Catalunya
title_short Estimation of age- and stage-specific Catalan breast cancer survival functions using US and Catalan survival data
title_full Estimation of age- and stage-specific Catalan breast cancer survival functions using US and Catalan survival data
title_fullStr Estimation of age- and stage-specific Catalan breast cancer survival functions using US and Catalan survival data
title_full_unstemmed Estimation of age- and stage-specific Catalan breast cancer survival functions using US and Catalan survival data
title_sort Estimation of age- and stage-specific Catalan breast cancer survival functions using US and Catalan survival data
dc.creator.none.fl_str_mv Vilaprinyo Terré, Ester
Rué i Monné, Montserrat
Marcos-Gragera, Rafael
Martínez Alonso, Montserrat
author Vilaprinyo Terré, Ester
author_facet Vilaprinyo Terré, Ester
Rué i Monné, Montserrat
Marcos-Gragera, Rafael
Martínez Alonso, Montserrat
author_role author
author2 Rué i Monné, Montserrat
Marcos-Gragera, Rafael
Martínez Alonso, Montserrat
author2_role author
author
author
dc.subject.none.fl_str_mv Mama -- Càncer -- Catalunya
topic Mama -- Càncer -- Catalunya
description Background: During the last part of the 1990s the chance of surviving breast cancer increased. Changes in survival functions reflect a mixture of effects. Both, the introduction of adjuvant treatments and early screening with mammography played a role in the decline in mortality. Evaluating the contribution of these interventions using mathematical models requires survival functions before and after their introduction. Furthermore, required survival functions may be different by age groups and are related to disease stage at diagnosis. Sometimes detailed information is not available, as was the case for the region of Catalonia (Spain). Then one may derive the functions using information from other geographical areas. This work presents the methodology used to estimate age- and stage-specific Catalan breast cancer survival functions from scarce Catalan survival data by adapting the age- and stage-specific US functions. Methods: Cubic splines were used to smooth data and obtain continuous hazard rate functions. After, we fitted a Poisson model to derive hazard ratios. The model included time as a covariate. Then the hazard ratios were applied to US survival functions detailed by age and stage to obtain Catalan estimations. Results: We started estimating the hazard ratios for Catalonia versus the USA before and after the introduction of screening. The hazard ratios were then multiplied by the age- and stage-specific breast cancer hazard rates from the USA to obtain the Catalan hazard rates. We also compared breast cancer survival in Catalonia and the USA in two time periods, before cancer control interventions (USA 1975–79, Catalonia 1980–89) and after (USA and Catalonia 1990–2001). Survival in Catalonia in the 1980–89 period was worse than in the USA during 1975–79, but the differences disappeared in 1990–2001. Conclusion: Our results suggest that access to better treatments and quality of care contributed to large improvements in survival in Catalonia. On the other hand, we obtained detailed breast cancer survival functions that will be used for modeling the effect of screening and adjuvant treatments in Catalonia.
publishDate 2009
dc.date.none.fl_str_mv 2009
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1186/1471-2407-9-98
http://hdl.handle.net/10459.1/30295
url https://doi.org/10.1186/1471-2407-9-98
http://hdl.handle.net/10459.1/30295
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a https://doi.org/10.1186/1471-2407-9-98
BMC Cancer, 2009, vol. 9, núm. 98, p. 1-14
dc.rights.none.fl_str_mv cc-by, (c) Vilaprinyo et al., 2009
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/2.0/es/deed.ca
rights_invalid_str_mv cc-by, (c) Vilaprinyo et al., 2009
http://creativecommons.org/licenses/by/2.0/es/deed.ca
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv BioMed Central
publisher.none.fl_str_mv BioMed Central
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869410241579319296
score 15.812429

Similares en LA Referencia