Prognostic Factors for Urachal Cancer: A Bayesian Model-Averaging Approach
Korean Journal of Urology
; : 574-580, 2014.
Article
in English
| WPRIM (Western Pacific)
| ID: wpr-129058
Responsible library:
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 ANDMETHODS:
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 2417. 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.
Full text:
Available
Database:
WPRIM (Western Pacific)
Main subject:
Prognosis
/
Urinary Bladder Neoplasms
/
Carcinoma
/
Proportional Hazards Models
/
Risk Factors
/
Follow-Up Studies
/
Bayes Theorem
/
Treatment Outcome
/
Disease-Free Survival
/
Kaplan-Meier Estimate
Type of study:
Etiology study
/
Observational study
/
Prognostic study
/
Risk factors
Limits:
Adult
/
Female
/
Humans
/
Male
Language:
English
Journal:
Korean Journal of Urology
Year:
2014
Document type:
Article