Prognostic factors in patients with jaw sarcomas

Descripción del Articulo

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...

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Detalles Bibliográficos
Autores: Morales Vadillo, Rafael, Sacsaquispe Contreras, Sonia Julia, Guevara Canales, Janet Ofelia
Formato: artículo
Fecha de Publicación:2011
Institución:Universidad de San Martín de Porres
Repositorio:USMP-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.usmp.edu.pe:20.500.12727/6224
Enlace del recurso:https://hdl.handle.net/20.500.12727/6224
https://doi.org/10.1590/S1806-83242011000500008
Nivel de acceso:acceso abierto
Materia:Sarcoma
Mandíbula
Supervivencia
Pronóstico
https://purl.org/pe-repo/ocde/ford#3.02.00
Descripción
Sumario: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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