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Porter, CR; Suardi, N; Capitanio, U; Hutterer, GC; Kodama, K; Gibbons, RP; Correa, R; Perrotte, P; Montorsi, F; Karakiewicz, PI.
A nomogram predicting prostate cancer-specific mortality after radical prostatectomy.
Urol Int. 2010; 84(2): 132-140. [OPEN ACCESS]
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Autor/innen der Med Uni Graz:
Hutterer Georg C.
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Abstract:
Objective: We describe a model capable of predicting prostate cancer (PCa)-specific mortality up to 20 years after a radical prostatectomy (RP), which can adjust the predictions according to disease-free interval. Patients and Methods: 752 patients were treated with RP for organ-confined PCa. Cox regression modeled the probability of PCa-specific mortality. The significance of the predictors was confirmed in competing risks analyses, which account for other-cause mortality. Results: The mean follow-up was 11.4 years. The 5-, 10-, 15- and 20-year actuarial rates of PCa-specific survival were 99.0, 95.5, 90.9 and 85.7%, respectively. RP Gleason sum (p < 0.001), pT stage (p = 0.007), adjuvant radiotherapy (p = 0.03) and age at RP (p = 0.004) represented independent predictors of PCa-specific mortality in the Cox regression model as well as in competing risks regression. Those variables, along with lymph node dissection status (p = 0.4), constituted the nomogram predictors. After 200 bootstrap resamples, the nomogram achieved 82.6, 83.8, 75.0 and 76.3% accuracy in predicting PCa-specific mortality at 5, 10, 15 and 20 years post-RP, respectively. Conclusions: At 20 years, roughly 20% of men treated with RP may succumb to PCa. The current nomogram helps to identify these individuals. Their follow-up or secondary therapies may be adjusted according to nomogram predictions. Copyright (c) 2010 S. Karger AG, Basel
Find related publications in this database (using NLM MeSH Indexing)
Adult -
Aged -
Algorithms -
Disease-Free Survival -
Humans -
Male -
Middle Aged -
Proportional Hazards Models -
Prostate-Specific Antigen - metabolism
Prostatectomy - methods
Prostatic Neoplasms - mortality
Recurrence -
Reproducibility of Results -
Time Factors -
Treatment Outcome -

Find related publications in this database (Keywords)
Prostate cancer
Radical prostatectomy
Cancer-specific mortality
Nomogram
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