Prognostic Factors for Urachal Cancer: A Bayesian Model-Averaging Approach
Korean Journal of Urology
; : 574-580, 2014.
Article
en En
| WPRIM
| ID: wpr-129043
Biblioteca responsable:
WPRO
ABSTRACT
PURPOSE: This study was conducted to evaluate prognostic factors and cancer-specific survival (CSS) in a cohort of 41 patients with urachal carcinoma by use of a Bayesian model-averaging approach. MATERIALS AND METHODS: Our cohort included 41 patients with urachal carcinoma who underwent extended partial cystectomy, total cystectomy, transurethral resection, chemotherapy, or radiotherapy at a single institute. All patients were classified by both the Sheldon and the Mayo staging systems according to histopathologic reports and preoperative radiologic findings. Kaplan-Meier survival curves and Cox proportional-hazards regression models were carried out to investigate prognostic factors, and a Bayesian model-averaging approach was performed to confirm the significance of each variable by using posterior probabilities. RESULTS: The mean age of the patients was 49.88+/-13.80 years and the male-to-female ratio was 24:17. The median follow-up was 5.42 years (interquartile range, 2.8-8.4 years). Five- and 10-year CSS rates were 55.9% and 43.4%, respectively. Lower Sheldon (p=0.004) and Mayo (p<0.001) stage, mucinous adenocarcinoma (p=0.005), and larger tumor size (p=0.023) were significant predictors of high survival probability on the basis of a log-rank test. By use of the Bayesian model-averaging approach, higher Mayo stage and larger tumor size were significant predictors of cancer-specific mortality in urachal carcinoma. CONCLUSIONS: The Mayo staging system might be more effective than the Sheldon staging system. In addition, the multivariate analyses suggested that tumor size may be a prognostic factor for urachal carcinoma.
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Texto completo:
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Base de datos:
WPRIM
Asunto principal:
Pronóstico
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Neoplasias de la Vejiga Urinaria
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Carcinoma
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Modelos de Riesgos Proporcionales
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Factores de Riesgo
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Estudios de Seguimiento
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Teorema de Bayes
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Resultado del Tratamiento
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Supervivencia sin Enfermedad
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Estimación de Kaplan-Meier
Tipo de estudio:
Etiology_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Límite:
Adult
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Female
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Humans
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Male
Idioma:
En
Revista:
Korean Journal of Urology
Año:
2014
Tipo del documento:
Article