Literature DB >> 18372031

External validation of University of California, San Francisco, Cancer of the Prostate Risk Assessment score.

Kevin H Zhao1, David J Hernandez, Misop Han, Elizabeth B Humphreys, Leslie A Mangold, Alan W Partin.   

Abstract

OBJECTIVES: In 2005, the University of California, San Francisco, proposed the Cancer of the Prostate Risk Assessment (UCSF-CAPRA) score to predict the risk of biochemical recurrence (BR) after radical prostatectomy. This study provides external validation and a modified version of the model using a large cohort of men treated with radical prostatectomy at a high-volume, tertiary referral center.
METHODS: From 1984 to 2006, 6737 men underwent radical prostatectomy at our institution for clinical Stage T1c-T3a prostate cancer with available follow-up information and no neoadjuvant or adjuvant therapy before BR. The BR-free survival was estimated using the Kaplan-Meier method and compared by UCSF-CAPRA score using the log-rank statistic. Performance of the UCSF-CAPRA was evaluated using Cox proportional hazards regression analysis and Harrell's concordance (c) index and compared with the Kattan nomogram. The UCSF-CAPRA score and final pathologic findings were assessed by odds ratios.
RESULTS: The 5-year BR-free survival rate was 83.1% overall and decreased from 94.4% for men with a UCSF-CAPRA score of 1 or less to 25.8% for those with a score of 7 or more (P <0.0001). The hazards ratio approximately doubled for each UCSF-CAPRA point until a score of 4, when the hazards ratio increased at a slower rate. The c-index of the UCSF-CAPRA and Kattan nomogram was 0.76 and 0.78, respectively. A greater UCSF-CAPRA score correlated with the final pathologic findings.
CONCLUSIONS: The UCSF-CAPRA performed well in this tertiary, referral-based cohort with a c-index similar to that of the Kattan nomogram. It remains an effective prognostic instrument for predicting the risk of biochemical recurrence after radical prostatectomy.

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Year:  2008        PMID: 18372031     DOI: 10.1016/j.urology.2007.11.165

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  22 in total

1.  Percent tumor volume predicts biochemical recurrence after radical prostatectomy: multi-institutional data analysis.

Authors:  Cheryn Song; Seongil Seo; Hanjong Ahn; Seok-Soo Byun; Jin Seon Cho; Young Deuk Choi; Eunsik Lee; Hyun Moo Lee; Sang Eun Lee; Han Yong Choi
Journal:  Int J Clin Oncol       Date:  2011-08-05       Impact factor: 3.402

2.  The CAPRA-S score: A straightforward tool for improved prediction of outcomes after radical prostatectomy.

Authors:  Matthew R Cooperberg; Joan F Hilton; Peter R Carroll
Journal:  Cancer       Date:  2011-06-03       Impact factor: 6.860

3.  Obesity at Diagnosis and Prostate Cancer Prognosis and Recurrence Risk Following Primary Treatment by Radical Prostatectomy.

Authors:  Crystal S Langlais; Janet E Cowan; John Neuhaus; Stacey A Kenfield; Erin L Van Blarigan; Jeanette M Broering; Matthew R Cooperberg; Peter Carroll; June M Chan
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-08-28       Impact factor: 4.254

Review 4.  The status of surgery in the management of high-risk prostate cancer.

Authors:  Christian Bach; Sailaja Pisipati; Datesh Daneshwar; Mark Wright; Edward Rowe; David Gillatt; Raj Persad; Anthony Koupparis
Journal:  Nat Rev Urol       Date:  2014-05-13       Impact factor: 14.432

5.  Risk assessment among prostate cancer patients receiving primary androgen deprivation therapy.

Authors:  Matthew R Cooperberg; Shiro Hinotsu; Mikio Namiki; Kazuto Ito; Jeanette Broering; Peter R Carroll; Hideyuki Akaza
Journal:  J Clin Oncol       Date:  2009-08-10       Impact factor: 44.544

6.  Percent tumor volume vs American Joint Committee on Cancer staging system subclassification for predicting biochemical recurrence in patients with pathologic T2 prostate cancer.

Authors:  Se Young Choi; Byung Hoon Chi; Bumjin Lim; Yoon Soo Kyung; Dalsan You; In Gab Jeong; Cheryn Song; Jun Hyuk Hong; Hanjong Ahn; Choung-Soo Kim
Journal:  J Cancer Res Clin Oncol       Date:  2020-01-08       Impact factor: 4.553

7.  Evaluating prostate cancer mortality and competing risks of death in patients with localized prostate cancer using a comprehensive nomogram.

Authors:  A Kutikov; M R Cooperberg; A T Paciorek; R G Uzzo; P R Carroll; S A Boorjian
Journal:  Prostate Cancer Prostatic Dis       Date:  2012-06-19       Impact factor: 5.554

8.  Prostate cancer risk assessment: choosing the sharpest tool in the shed.

Authors:  Matthew R Cooperberg
Journal:  Cancer       Date:  2008-12-01       Impact factor: 6.860

Review 9.  Reporting performance of prognostic models in cancer: a review.

Authors:  Susan Mallett; Patrick Royston; Rachel Waters; Susan Dutton; Douglas G Altman
Journal:  BMC Med       Date:  2010-03-30       Impact factor: 8.775

10.  Risk assessment for prostate cancer metastasis and mortality at the time of diagnosis.

Authors:  Matthew R Cooperberg; Jeanette M Broering; Peter R Carroll
Journal:  J Natl Cancer Inst       Date:  2009-06-09       Impact factor: 13.506

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