The application of Weibull parameter model to survival analysis of glioma / 中华流行病学杂志
Chinese Journal of Epidemiology
; (12): 229-232, 2003.
Article
em Zh
| WPRIM
| ID: wpr-348872
Biblioteca responsável:
WPRO
ABSTRACT
<p><b>OBJECTIVE</b>To investigate the factors affecting the survival and to predict the survival time of glioma.</p><p><b>METHODS</b>Graph method was applied to fit the type of probability distribution of patients' postoperative survival time. As one suitable model, Weibull regression model tested by residual analysis was used to identify prognostic factors for postoperative survival and to predict patients' post-operative survival time.</p><p><b>RESULTS</b>In multivariate analysis of Weibull regression model, following characteristics showed significant influence on postoperative survival time including: sex, age, epilepsy, type of glioma, density of glioma, type of surgery, times of surgery and mode of postoperative therapy. According to predictive value, patients were clustered into three groups. The survival probability of one year for the first group was less than 50% and that of five years for the second group about 50%, for the third group around 80%.</p><p><b>CONCLUSION</b>Sex, age, epilepsy, type of glioma, density of glioma, type of surgery, times of surgery and mode of postoperative therapy were important risk factors and Weibull regression model might help to predict patients' postoperative survival time.</p>
Texto completo:
1
Base de dados:
WPRIM
Assunto principal:
Período Pós-Operatório
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Prognóstico
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Cirurgia Geral
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Neoplasias Encefálicas
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Modelos de Riscos Proporcionais
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Análise de Sobrevida
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China
/
Epidemiologia
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Análise Multivariada
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Análise de Regressão
Tipo de estudo:
Diagnostic_studies
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Etiology_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Female
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Humans
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Male
País/Região como assunto:
Asia
Idioma:
Zh
Revista:
Chinese Journal of Epidemiology
Ano de publicação:
2003
Tipo de documento:
Article