Prognostic factors in patients with jaw sarcomas

Detalhes bibliográficos
Autor(a) principal: Vadillo,Rafael Morales
Data de Publicação: 2011
Outros Autores: Contreras,Sonia Julia Sacsaquispe, Canales,Janet Ofelia Guevara
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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spelling 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
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-83242011000500008
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1806-83242011000500008
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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)
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repository.name.fl_str_mv Brazilian Oral Research - Sociedade Brasileira de Pesquisa Odontológica (SBPqO)
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