Literature DB >> 11912382

How well does the Partin nomogram predict pathological stage after radical prostatectomy in a community based population? Results of the cancer of the prostate strategic urological research endeavor.

David F Penson1, Gary D Grossfeld, Yu-Ping Li, James M Henning, Deborah P Lubeck, Peter R Carroll.   

Abstract

PURPOSE: The Partin nomogram uses preoperative Gleason grade, serum prostate specific antigen and clinical stage to predict pathological outcome after radical prostatectomy. It was developed and validated in a select population of patients at 3 academic institutions. Although the nomogram is widely used, it has yet to be validated in a community based population. We assessed the performance of the nomogram in the Cancer of the Prostate Strategic Urological Research Endeavor, a nationwide, community based observational disease registry of men with prostate cancer.
MATERIALS AND METHODS: Included in the cohort were 1,162 men in Cancer of the Prostate Strategic Urological Research Endeavor who underwent radical prostatectomy. Using various probability thresholds the nomogram was used to predict outcomes in each patient. Using different probability thresholds receiver operating characteristics curves were then used to assess test performance.
RESULTS: Of the men 860 (74%) had organ confined disease, 179 (15%) had established capsular penetration, 95 (8%) had seminal vesicle involvement and 37 (3%) had lymph node involvement. Calculated receiver operating characteristics curve area was 0.684 for predicting organ confined disease, 0.614 for predicting capsular penetration, 0.726 for predicting seminal vesicle involvement and 0.766 for predicting lymph node involvement. These values were lower than in previously published reports.
CONCLUSIONS: While the Partin nomogram performs adequately in a community based cohort of men who undergo radical prostatectomy for localized prostate cancer, it does not attain the success demonstrated in previous studies in select academic cohorts. This result was likely due to differences in the distribution of pathological outcomes in the community based cohort, in which more men had organ confined disease.

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Year:  2002        PMID: 11912382

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


  9 in total

Review 1.  Global registries for measuring pharmacoeconomic and quality-of-life outcomes: focus on design and data collection, analysis and interpretation.

Authors:  Lisa Kennedy; Ann-Marie Craig
Journal:  Pharmacoeconomics       Date:  2004       Impact factor: 4.981

Review 2.  Prognostic Utility of PET in Prostate Cancer.

Authors:  Hossein Jadvar
Journal:  PET Clin       Date:  2015-01-22

3.  Pre-treatment risk stratification of prostate cancer patients: A critical review.

Authors:  George Rodrigues; Padraig Warde; Tom Pickles; Juanita Crook; Michael Brundage; Luis Souhami; Himu Lukka
Journal:  Can Urol Assoc J       Date:  2012-04       Impact factor: 1.862

4.  Updated nomogram to predict pathologic stage of prostate cancer given prostate-specific antigen level, clinical stage, and biopsy Gleason score (Partin tables) based on cases from 2000 to 2005.

Authors:  Danil V Makarov; Bruce J Trock; Elizabeth B Humphreys; Leslie A Mangold; Patrick C Walsh; Jonathan I Epstein; Alan W Partin
Journal:  Urology       Date:  2007-06       Impact factor: 2.649

Review 5.  Critical review of prostate cancer predictive tools.

Authors:  Shahrokh F Shariat; Michael W Kattan; Andrew J Vickers; Pierre I Karakiewicz; Peter T Scardino
Journal:  Future Oncol       Date:  2009-12       Impact factor: 3.404

6.  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

7.  The example of CaPSURE: lessons learned from a national disease registry.

Authors:  Sima P Porten; Matthew R Cooperberg; Badrinath R Konety; Peter R Carroll
Journal:  World J Urol       Date:  2011-02-24       Impact factor: 4.226

8.  Multi-parametric MRI of the prostate: Factors predicting extracapsular extension at the time of radical prostatectomy.

Authors:  Geoffrey S Gaunay; Vinay Patel; Paras Shah; Daniel Moreira; Ardeshir R Rastinehad; Eran Ben-Levi; Robert Villani; Manish A Vira
Journal:  Asian J Urol       Date:  2016-11-19

Review 9.  Patterns of practice in the United States: insights from CaPSURE on prostate cancer management.

Authors:  Matthew R Cooperberg; Jeanette M Broering; David M Latini; Mark S Litwin; Katrine L Wallace; Peter R Carroll
Journal:  Curr Urol Rep       Date:  2004-06       Impact factor: 2.862

  9 in total

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