Prognostic factors in patients with jaw sarcomas
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Oral Research |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-83242011000500008 |
Resumo: | The aim of this study was to identify the prognostic factors related to the survival of patients with sarcomas of the jaw treated in the Dr. Eduardo Caceres Graziani National Institute for Neoplastic Diseases, Lima, Peru. Age, gender, delay in consultation, diagnostic delay, therapeutic delay, tumor size, tumor location, facial asymmetry, pain, treatment type, and histopathological diagnosis were all evaluated as possible prognostic factors that would influence survival in those with jaw sarcomas. In the analysis, the following was used: mortality tables, Kaplan-Meier's product-limit method, log-rank, and Breslow and Tarone-Ware tests; for the prognostic factors, Cox's Regression Model was used. The overall survival rate, with the patient being free from disease at two years, was 55%, and that at five years was 45%. In the independent analysis of the prognostic factors, four variables were statistically significant in influencing survival: gender (p = 0.043), histopathologic diagnosis (p = 0.019), tumor location (p = 0.019), and treatment type (p = 0.030). According to Cox's Regression Model for the multivariate analysis, statistically significant prognostic factors were: gender (p = 0.086), tumor location (p = 0.020), and treatment type (p = 0.092). Thus, the variables of gender, tumor location, and treatment type were determined to be predictive factors for prognosis of survival. |
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Prognostic factors in patients with jaw sarcomasSarcomaJawSurvivalPrognosisThe aim of this study was to identify the prognostic factors related to the survival of patients with sarcomas of the jaw treated in the Dr. Eduardo Caceres Graziani National Institute for Neoplastic Diseases, Lima, Peru. Age, gender, delay in consultation, diagnostic delay, therapeutic delay, tumor size, tumor location, facial asymmetry, pain, treatment type, and histopathological diagnosis were all evaluated as possible prognostic factors that would influence survival in those with jaw sarcomas. In the analysis, the following was used: mortality tables, Kaplan-Meier's product-limit method, log-rank, and Breslow and Tarone-Ware tests; for the prognostic factors, Cox's Regression Model was used. The overall survival rate, with the patient being free from disease at two years, was 55%, and that at five years was 45%. In the independent analysis of the prognostic factors, four variables were statistically significant in influencing survival: gender (p = 0.043), histopathologic diagnosis (p = 0.019), tumor location (p = 0.019), and treatment type (p = 0.030). According to Cox's Regression Model for the multivariate analysis, statistically significant prognostic factors were: gender (p = 0.086), tumor location (p = 0.020), and treatment type (p = 0.092). Thus, the variables of gender, tumor location, and treatment type were determined to be predictive factors for prognosis of survival.Sociedade Brasileira de Pesquisa Odontológica - SBPqO2011-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-83242011000500008Brazilian Oral Research v.25 n.5 2011reponame:Brazilian Oral Researchinstname:Sociedade Brasileira de Pesquisa Odontológica (SBPqO)instacron:SBPQO10.1590/S1806-83242011000500008info:eu-repo/semantics/openAccessVadillo,Rafael MoralesContreras,Sonia Julia SacsaquispeCanales,Janet Ofelia Guevaraeng2011-10-24T00:00:00Zoai:scielo:S1806-83242011000500008Revistahttps://www.scielo.br/j/bor/https://old.scielo.br/oai/scielo-oai.phppob@edu.usp.br||bor@sbpqo.org.br1807-31071806-8324opendoar:2011-10-24T00:00Brazilian Oral Research - Sociedade Brasileira de Pesquisa Odontológica (SBPqO)false |
dc.title.none.fl_str_mv |
Prognostic factors in patients with jaw sarcomas |
title |
Prognostic factors in patients with jaw sarcomas |
spellingShingle |
Prognostic factors in patients with jaw sarcomas Vadillo,Rafael Morales Sarcoma Jaw Survival Prognosis |
title_short |
Prognostic factors in patients with jaw sarcomas |
title_full |
Prognostic factors in patients with jaw sarcomas |
title_fullStr |
Prognostic factors in patients with jaw sarcomas |
title_full_unstemmed |
Prognostic factors in patients with jaw sarcomas |
title_sort |
Prognostic factors in patients with jaw sarcomas |
author |
Vadillo,Rafael Morales |
author_facet |
Vadillo,Rafael Morales Contreras,Sonia Julia Sacsaquispe Canales,Janet Ofelia Guevara |
author_role |
author |
author2 |
Contreras,Sonia Julia Sacsaquispe Canales,Janet Ofelia Guevara |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Vadillo,Rafael Morales Contreras,Sonia Julia Sacsaquispe Canales,Janet Ofelia Guevara |
dc.subject.por.fl_str_mv |
Sarcoma Jaw Survival Prognosis |
topic |
Sarcoma Jaw Survival Prognosis |
description |
The aim of this study was to identify the prognostic factors related to the survival of patients with sarcomas of the jaw treated in the Dr. Eduardo Caceres Graziani National Institute for Neoplastic Diseases, Lima, Peru. Age, gender, delay in consultation, diagnostic delay, therapeutic delay, tumor size, tumor location, facial asymmetry, pain, treatment type, and histopathological diagnosis were all evaluated as possible prognostic factors that would influence survival in those with jaw sarcomas. In the analysis, the following was used: mortality tables, Kaplan-Meier's product-limit method, log-rank, and Breslow and Tarone-Ware tests; for the prognostic factors, Cox's Regression Model was used. The overall survival rate, with the patient being free from disease at two years, was 55%, and that at five years was 45%. In the independent analysis of the prognostic factors, four variables were statistically significant in influencing survival: gender (p = 0.043), histopathologic diagnosis (p = 0.019), tumor location (p = 0.019), and treatment type (p = 0.030). According to Cox's Regression Model for the multivariate analysis, statistically significant prognostic factors were: gender (p = 0.086), tumor location (p = 0.020), and treatment type (p = 0.092). Thus, the variables of gender, tumor location, and treatment type were determined to be predictive factors for prognosis of survival. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-10-01 |
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=S1806-83242011000500008 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-83242011000500008 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S1806-83242011000500008 |
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 |
Sociedade Brasileira de Pesquisa Odontológica - SBPqO |
publisher.none.fl_str_mv |
Sociedade Brasileira de Pesquisa Odontológica - SBPqO |
dc.source.none.fl_str_mv |
Brazilian Oral Research v.25 n.5 2011 reponame:Brazilian Oral Research instname:Sociedade Brasileira de Pesquisa Odontológica (SBPqO) instacron:SBPQO |
instname_str |
Sociedade Brasileira de Pesquisa Odontológica (SBPqO) |
instacron_str |
SBPQO |
institution |
SBPQO |
reponame_str |
Brazilian Oral Research |
collection |
Brazilian Oral Research |
repository.name.fl_str_mv |
Brazilian Oral Research - Sociedade Brasileira de Pesquisa Odontológica (SBPqO) |
repository.mail.fl_str_mv |
pob@edu.usp.br||bor@sbpqo.org.br |
_version_ |
1750318322481627136 |