A Nomogram Predicting 10-year Life Expectancy in Candidates for Radical Prostatectomy or Radiotherapy for Prostate Cancer

2009 ◽  
Vol 2009 ◽  
pp. 72-73
Author(s):  
C.A. Lawton
2007 ◽  
Vol 177 (4S) ◽  
pp. 131-132 ◽  
Author(s):  
Jochen Wafz ◽  
Andrea Gallina ◽  
Aldo M. Bocciardi ◽  
Sascha Ahyai ◽  
Paul Perrotta ◽  
...  

2007 ◽  
Vol 6 (2) ◽  
pp. 202
Author(s):  
J. Walz ◽  
A. Gallina ◽  
A. Bocciardi ◽  
S. Ahyai ◽  
P. Perrotte ◽  
...  

2007 ◽  
Vol 100 (6) ◽  
pp. 1254-1258 ◽  
Author(s):  
Jochen Walz ◽  
Andrea Gallina ◽  
Paul Perrotte ◽  
Claudio Jeldres ◽  
Quoc-Dien Trinh ◽  
...  

2007 ◽  
Vol 25 (24) ◽  
pp. 3576-3581 ◽  
Author(s):  
Jochen Walz ◽  
Andrea Gallina ◽  
Fred Saad ◽  
Francesco Montorsi ◽  
Paul Perrotte ◽  
...  

Purpose Candidates for definitive therapy for localized prostate cancer (PCa) should have life expectancy (LE) in excess of 10 years. However, LE estimation is difficult. To circumvent this problem, we developed a nomogram predicting 10-year LE for patients treated with either radical prostatectomy (RP) or external-beam radiation therapy (EBRT) and compared it with an existing tool. Patients and Methods Between 1989 and 2000, 9,131 men were treated with either RP (n = 5,955) or EBRT (n = 3,176), without any secondary therapy and all deaths were considered unrelated to PCa. Age and Charlson comorbidity index (CCI) predicted 10-year LE in Cox regression models. We used 200 bootstrap resamples to internally validate the nomogram. Results Median age was 66 years, median CCI was 1, median follow-up was 5.9 years and median actuarial survival was 13.8 years. Advanced age (P < .001), elevated CCI score (P < .001) and treatment type (EBRT v RP, P < .001) were independent predictors of poor 10 year LE. The nomogram predicting 10 year LE after either RP or EBRT was 84.3% accurate in split sample validation and was 2.9% (P = .007) more accurate than the existing tool. A cutoff of 70% or less was 84% accurate in identifying men who did not survive beyond 10 years. Conclusion Our nomogram can accurately identify those individuals who do not have sufficient LE to warrant definitive PCa treatment and can help optimizing therapy decision-making.


2007 ◽  
Vol 177 (4S) ◽  
pp. 77-78
Author(s):  
Christopher R. Porter ◽  
Jochen Walz ◽  
Andrea Gallina ◽  
Claudio Jeldres ◽  
Koichi Kodama ◽  
...  

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