Literature DB >> 18635222

External validation of the updated Partin tables in a cohort of North American men.

Pierre I Karakiewicz1, Naeem Bhojani, Umberto Capitanio, Alwyn M Reuther, Nazareno Suardi, Claudio Jeldres, Daniel Pharand, François Péloquin, Paul Perrotte, Shahrokh F Shariat, Eric A Klein.   

Abstract

PURPOSE: The Partin tables were updated in 2007. However, to our knowledge their accuracy and performance characteristics have not been confirmed in an external validation cohort.
MATERIALS AND METHODS: We examined the discrimination and calibration properties of the 2007 Partin tables in 1,838 men treated with radical prostatectomy between 2001 and 2005 at Cleveland Clinic Foundation. The ROC derived AUC and the Brier score were used to quantify the discriminant properties of the predictions of the 2007 Partin tables for extraprostatic extension, seminal vesical invasion and lymph node invasion. Loess based calibration plots were used to examine the relationship between the predicted and observed rates of extraprostatic extension, seminal vesical invasion and lymph node invasion.
RESULTS: The rates of extraprostatic extension, seminal vesical invasion and lymph node invasion were 26.9%, 5.5% and 1.8%. The accuracy of extraprostatic extension, seminal vesical invasion and lymph node invasion prediction was 71%, 80% and 75% according to the AUC method, and 0.176, 0.051 and 0.037 according to the Brier score, respectively. Extraprostatic extension predictions between 0% and 25%, and lymph node invasion predictions between 0% and 5% correlated well with observed extraprostatic extension and lymph node invasion rates, respectively. Conversely a suboptimal correlation was recorded between predicted and observed seminal vesical invasion rates as well as between predicted and observed rates of extraprostatic extension and lymph node invasion for predicted extraprostatic extension and lymph node invasion values above 25% and 5%, respectively.
CONCLUSIONS: In this examined validation cohort the overall accuracy (AUC) of the Partin tables was comparable to results reported in the original 2007 development cohort. However, performance characteristics indicate that predictions within specific probability ranges should be interpreted with caution.

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Year:  2008        PMID: 18635222     DOI: 10.1016/j.juro.2008.05.044

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


  9 in total

Review 1.  Predictive and prognostic models in radical prostatectomy candidates: a critical analysis of the literature.

Authors:  Giovanni Lughezzani; Alberto Briganti; Pierre I Karakiewicz; Michael W Kattan; Francesco Montorsi; Shahrokh F Shariat; Andrew J Vickers
Journal:  Eur Urol       Date:  2010-08-06       Impact factor: 20.096

2.  Prediction of patient-specific risk and percentile cohort risk of pathological stage outcome using continuous prostate-specific antigen measurement, clinical stage and biopsy Gleason score.

Authors:  Ying Huang; Sumit Isharwal; Alexander Haese; Felix K H Chun; Danil V Makarov; Ziding Feng; Misop Han; Elizabeth Humphreys; Jonathan I Epstein; Alan W Partin; Robert W Veltri
Journal:  BJU Int       Date:  2010-09-28       Impact factor: 5.588

3.  Predicting the risk of non-organ-confined prostate cancer when perineural invasion is found on biopsy.

Authors:  Michael A Gorin; Heather J Chalfin; Jonathan I Epstein; Zhaoyong Feng; Alan W Partin; Bruce J Trock
Journal:  Urology       Date:  2014-03-19       Impact factor: 2.649

4.  The need for, and utilization of prostate-bed radiotherapy after radical prostatectomy for patients with prostate cancer in British Columbia.

Authors:  Scott Tyldesley; Michael Peacock; James W Morris; Alan So; Charmaine Kim-Sing; Jill Quirt; Michael Carter; Tom Pickles
Journal:  Can Urol Assoc J       Date:  2012-04       Impact factor: 1.862

5.  Novel predictive tools for Irish radical prostatectomy pathological outcomes: development and validation.

Authors:  D M Fanning; F Yue; J M Fitzpatrick; R W G Watson
Journal:  Ir J Med Sci       Date:  2009-07-14       Impact factor: 1.568

6.  Outcome of patients with localized prostate cancer treated by radiotherapy after confirming the absence of lymph node invasion.

Authors:  Noriyuki Suzuki; Masaki Shimbo; Yoshiyasu Amiya; Susumu Tomioka; Takayuki Shima; Shino Murakami; Hiroomi Nakatsu; Sayako Oota; Jun Shimazaki
Journal:  Jpn J Clin Oncol       Date:  2010-04-08       Impact factor: 3.019

7.  ERG rearrangement as a novel marker for predicting the extra-prostatic extension of clinically localised prostate cancer.

Authors:  L I Lu; Hao Zhang; Jun Pang; Guo-Liang Hou; Min-Hua Lu; Xin Gao
Journal:  Oncol Lett       Date:  2016-02-25       Impact factor: 2.967

8.  Assessment of the performance of Partin's nomogram (2007) in contemporary Indian cohort.

Authors:  Rajiv Yadav; Sohrab Arora; Manish Sachdeva; Narmada Prasad Gupta
Journal:  Indian J Urol       Date:  2016 Jul-Sep

9.  Evaluation of prediction models for the staging of prostate cancer.

Authors:  Susie Boyce; Yue Fan; Ronald William Watson; Thomas Brendan Murphy
Journal:  BMC Med Inform Decis Mak       Date:  2013-11-15       Impact factor: 2.796

  9 in total

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