Literature DB >> 21940731

External validation of the UCSF-CAPRA (University of California, San Francisco, Cancer of the Prostate Risk Assessment) in Japanese patients receiving radical prostatectomy.

Fumio Ishizaki1, Md Aminul Hoque, Tsutomu Nishiyama, Takashi Kawasaki, Takashi Kasahara, Noboru Hara, Itsuhiro Takizawa, Toshihiro Saito, Yasuo Kitamura, Kohei Akazawa, Kota Takahashi.   

Abstract

OBJECTIVE: In 2005, the University of California, San Francisco developed the Cancer of the Prostate Risk Assessment (UCSF-CAPRA) score as a new risk stratification tool. The UCSF-CAPRA, which ranges from 0 to 10 points, consists of five clinical variables, prostate-specific antigen, Gleason score, T stage, percent of positive biopsies and age. The aim of this study was to validate the UCSF-CAPRA score for Japanese prostate cancer patients receiving radical prostatectomy using the contemporary Gleason grading.
METHODS: From 1999 to 2010, 211 men who underwent radical prostatectomy were used for validation. Biochemical progression-free survival was calculated using the Kaplan-Meier method and the UCSF-CAPRA and D'Amico risk categories were compared using the log-rank method. The concordance index (c-index) for the UCSF-CAPRA and D'Amico risk classification was calculated.
RESULTS: Using the UCSF-CAPRA score, 85 (40.3%), 106 (50.2%) and 20 (9.5%) subjects were stratified as 0-2 points (low risk), 3-5 points (intermediate risk) and 6-10 points (high risk). Using the D'Amico risk criteria, 66 (31.3%), 89 (42.2%) and 56 (26.5%) were stratified as low-, intermediate- and high-risk groups, respectively. The Kaplan-Meier analysis showed that the UCSF-CAPRA divided the patients significantly into each risk category. There was no significant difference between low and intermediate in the D'Amico risk classification. The c-index of the UCSF-CAPRA and D'Amico classification was 0.755 and 0.713, respectively.
CONCLUSION: The UCSF-CAPRA is an acceptable risk category tool comparable to that of the D'Amico risk classification for Japanese prostate cancer patients receiving radical prostatectomy in the contemporary Gleason grading era.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21940731     DOI: 10.1093/jjco/hyr136

Source DB:  PubMed          Journal:  Jpn J Clin Oncol        ISSN: 0368-2811            Impact factor:   3.019


  6 in total

1.  Preoperative prognostic factors for biochemical recurrence after robot-assisted radical prostatectomy in Japan.

Authors:  Takeshi Hashimoto; Kunihiko Yoshioka; Tatsuo Gondo; Choichiro Ozu; Yutaka Horiguchi; Kazunori Namiki; Yoshio Ohno; Makoto Ohori; Jun Nakashima; Masaaki Tachibana
Journal:  Int J Clin Oncol       Date:  2013-09-19       Impact factor: 3.402

2.  Significance of preoperative butyrylcholinesterase as an independent predictor of biochemical recurrence-free survival in patients with prostate cancer treated with radical prostatectomy.

Authors:  Takuya Koie; Chikara Ohyama; Shingo Hatakeyama; Atsushi Imai; Takahiro Yoneyama; Yasuhiro Hashimoto; Tohru Yoneyama; Yuki Tobisawa; Shogo Hosogoe; Hayato Yamamoto; Masato Kitayama; Kazuyoshi Hirota
Journal:  Int J Clin Oncol       Date:  2015-07-30       Impact factor: 3.402

3.  Predictive value of the cancer of the prostate risk assessment score for recurrence-free survival after radical prostatectomy in Korea: a single-surgeon series.

Authors:  Won Ik Seo; Pil Moon Kang; Jae Il Chung
Journal:  Korean J Urol       Date:  2014-05-12

4.  Meta-analysis of predictive models to assess the clinical validity and utility for patient-centered medical decision making: application to the CAncer of the Prostate Risk Assessment (CAPRA).

Authors:  Marine Lorent; Haïfa Maalmi; Philippe Tessier; Stéphane Supiot; Etienne Dantan; Yohann Foucher
Journal:  BMC Med Inform Decis Mak       Date:  2019-01-07       Impact factor: 2.796

5.  Prediction of disease progression indicators in prostate cancer patients receiving HDR-brachytherapy using Raman spectroscopy and semi-supervised learning: a pilot study.

Authors:  Kirsty Milligan; Xinchen Deng; Ramie Ali-Adeeb; Phillip Shreeves; Samantha Punch; Nathalie Costie; Juanita M Crook; Alexandre G Brolo; Julian J Lum; Jeffrey L Andrews; Andrew Jirasek
Journal:  Sci Rep       Date:  2022-09-06       Impact factor: 4.996

6.  Cancer of the Prostate Risk Assessment (CAPRA) Preoperative Score Versus Postoperative Score (CAPRA-S): ability to predict cancer progression and decision-making regarding adjuvant therapy after radical prostatectomy.

Authors:  Won Ik Seo; Pil Moon Kang; Dong Il Kang; Jang Ho Yoon; Wansuk Kim; Jae Il Chung
Journal:  J Korean Med Sci       Date:  2014-09-02       Impact factor: 2.153

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.