Postoperative Nomogram Predicting the 10-Year Probability of Prostate Cancer Recurrence After Radical Prostatectomy
Cleveland Clinic · Memorial Sloan Kettering Cancer Center
Abstract
Cox regression analysis was used to model the clinical information for 1,881 patients who underwent RP for clinically-localized prostate cancer by two high-volume surgeons. The model was externally validated separately on two independent cohorts of 1,782 patients and 1,357 patients, respectively. Disease progression was defined as a rising prostate-specific antigen (PSA) level, clinical progression, radiotherapy more than 12 months postoperatively, or initiation of systemic therapy.
The 10-year progression-free probability for the modeling set was 79% (95% CI, 75% to 82%). Significant variables in the multivariable model included PSA (P = .002), primary (P
Citation impact
- FWCI
- 26.26
- Percentile
- 100%
- References
- 29
Authors
9- AJAndrew J. StephensonCorresponding
Cleveland Clinic, Memorial Sloan Kettering Cancer Center
- PTPeter T. Scardino
Cleveland Clinic, Memorial Sloan Kettering Cancer Center
- JAJames A. Eastham
Cleveland Clinic, Memorial Sloan Kettering Cancer Center
- FJFernando J. Bianco
Cleveland Clinic, Memorial Sloan Kettering Cancer Center
- ZDZohar Dotan
Cleveland Clinic, Memorial Sloan Kettering Cancer Center
Topics & keywords
- Nomogram
- Medicine
- Prostatectomy
- Prostate cancer
- Urology
- Radiation therapy
- Biochemical recurrence
- Prostate-specific antigen
- Reduced inequalities