Literature DB >> 15126797

Validation of the Kattan preoperative nomogram for prostate cancer recurrence using a community based cohort: results from cancer of the prostate strategic urological research endeavor (capsure).

Kirsten L Greene1, Maxwell V Meng, Eric P Elkin, Matthew R Cooperberg, David J Pasta, Michael W Kattan, Katrine Wallace, Peter R Carroll.   

Abstract

PURPOSE: The Kattan preoperative nomogram combines preoperative prostate specific antigen (PSA), biopsy Gleason grade and clinical stage to estimate disease recurrence after radical prostatectomy. Several studies using patient data from academic centers have validated the nomogram. We assessed the performance of the Kattan nomogram using the Cancer of the Prostate Strategic Urological Research Endeavor database, a national, largely community based observational disease registry.
MATERIALS AND METHODS: From the Cancer of the Prostate Strategic Urological Research Endeavor database we identified 1701 men with clinically localized prostate cancer undergoing radical prostatectomy with sufficient pretreatment information and PSA followup after surgery. Disease recurrence was defined as 2 consecutive PSA values 0.2 ng/ml or greater, or a second cancer treatment more than 6 months after prostatectomy. A concordance index was used to evaluate the performance of the nomogram compared to observed 5-year recurrence-free survival (Kaplan-Meier). Kattan nomogram scores were calculated for each patient and stratified into 6 groups for analysis.
RESULTS: In our cohort of 1701 men 413 (24%) had evidence of disease recurrence. Median followup in these patients was 2.3 years. Kattan nomogram scores were 17% to 99% (mean 79%). The overall concordance index was 0.68. Varying the definition of recurrent disease and excluding patients with imputed data did not substantially alter nomogram performance (concordance index 0.65 to 0.70). The Kattan nomogram tended to overestimate 5-year freedom from recurrence in patients with scores of 65% and higher.
CONCLUSIONS: We noted the reasonable performance of the Kattan nomogram for predicting cancer outcomes after radical prostatectomy using a community based population. Although concordance is lower than in previous validation studies and the nomogram overestimates recurrence-free survival in patients at lower risk, the model is fairly robust and it provides important information when counseling patients regarding treatment options in the community setting. Further refinements in pretreatment estimation of disease-free survival and ultimately overall survival are needed.

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Year:  2004        PMID: 15126797     DOI: 10.1097/01.ju.0000127733.01845.57

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  28 in total

1.  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

2.  Prediction models in cancer care.

Authors:  Andrew J Vickers
Journal:  CA Cancer J Clin       Date:  2011-06-23       Impact factor: 508.702

3.  The association between tumour density and prostate cancer recurrence following radical prostatectomy.

Authors:  Luke T Lavallée; Rodney H Breau; Mark A Preston; Gayanna Raju; Christopher Morash; Steve Doucette; Ronald G Gerridzen; James Eastham; Ilias Cagiannos
Journal:  Can Urol Assoc J       Date:  2011-12       Impact factor: 1.862

4.  Postoperative nomogram predicting the 10-year probability of prostate cancer recurrence after radical prostatectomy.

Authors:  Andrew J Stephenson; Peter T Scardino; James A Eastham; Fernando J Bianco; Zohar A Dotan; Christopher J DiBlasio; Alwyn Reuther; Eric A Klein; Michael W Kattan
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5.  The UREThRAL stricture score: A novel method for describing anterior urethral strictures.

Authors:  Lucas R Wiegand; Steven B Brandes
Journal:  Can Urol Assoc J       Date:  2012-08       Impact factor: 1.862

Review 6.  Critical review of prostate cancer predictive tools.

Authors:  Shahrokh F Shariat; Michael W Kattan; Andrew J Vickers; Pierre I Karakiewicz; Peter T Scardino
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7.  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

8.  Development and validation of a 32-gene prognostic index for prostate cancer progression.

Authors:  Chin-Lee Wu; Brock E Schroeder; Xiao-Jun Ma; Christopher J Cutie; Shulin Wu; Ranelle Salunga; Yi Zhang; Michael W Kattan; Catherine A Schnabel; Mark G Erlander; W Scott McDougal
Journal:  Proc Natl Acad Sci U S A       Date:  2013-03-26       Impact factor: 11.205

9.  MiR-345 suppresses proliferation, migration and invasion by targeting Smad1 in human prostate cancer.

Authors:  Qi-guang Chen; Wei Zhou; Tao Han; Shu-qi Du; Zhen-hua Li; Zhe Zhang; Guang-yi Shan; Chui-ze Kong
Journal:  J Cancer Res Clin Oncol       Date:  2015-07-31       Impact factor: 4.553

10.  High-risk prostate cancer in the United States, 1990-2007.

Authors:  Matthew R Cooperberg; Janet Cowan; Jeannette M Broering; Peter R Carroll
Journal:  World J Urol       Date:  2008-03-28       Impact factor: 4.226

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