Literature DB >> 11844816

Validation study of the accuracy of a postoperative nomogram for recurrence after radical prostatectomy for localized prostate cancer.

Markus Graefen1, Pierre I Karakiewicz, Ilias Cagiannos, Eric Klein, Patrick A Kupelian, David I Quinn, Susan M Henshall, John J Grygiel, Robert L Sutherland, Phillip D Stricker, Jean de Kernion, Thomas Cangiano, Fritz H Schröder, Mark F Wildhagen, Peter T Scardino, Michael W Kattan.   

Abstract

PURPOSE: A postoperative nomogram for prostate cancer was developed at Baylor College of Medicine. This nomogram uses readily available clinical and pathologic variables to predict 7-year freedom from recurrence after radical prostatectomy. We evaluated the predictive accuracy of the nomogram when applied to patients of four international institutions. PATIENTS AND METHODS: Clinical and pathologic data of 2,908 patients were supplied for validation, and 2,465 complete records were used. Nomogram-predicted probabilities of 7-year freedom from recurrence were compared with actual follow-up in two ways. First, the area under the receiver operating characteristic curve (AUC) was calculated for all patients and stratified by the time period of surgery. Second, calibration of the nomogram was achieved by comparing the predicted freedom from recurrence with that of an ideal nomogram. For patients in whom the pathologic report does not distinguish between focal and established extracapsular extension (an input variable of the nomogram), two separate calculations were performed assuming one or the other.
RESULTS: The overall AUC was 0.80 when applied to the validation data set, with individual institution AUCs ranging from 0.77 to 0.82. The predictive accuracy of the nomogram was apparently higher in patients who were operated on between 1997 and 2000 (AUC, 0.83) compared with those treated between 1987 and 1996 (AUC, 0.78). Nomogram predictions of 7-year freedom from recurrence were within 10% of an ideal nomogram.
CONCLUSION: The postoperative Baylor nomogram was accurate when applied at international treatment institutions. Our results suggest that accurate predictions may be expected when using this nomogram across different patient populations.

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Year:  2002        PMID: 11844816     DOI: 10.1200/JCO.2002.20.4.951

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  19 in total

1.  Integration of gene expression profiling and clinical variables to predict prostate carcinoma recurrence after radical prostatectomy.

Authors:  Andrew J Stephenson; Alex Smith; Michael W Kattan; Jaya Satagopan; Victor E Reuter; Peter T Scardino; William L Gerald
Journal:  Cancer       Date:  2005-07-15       Impact factor: 6.860

Review 2.  Role of nomograms for prostate cancer in 2007.

Authors:  Felix K-H Chun; Pierre I Karakiewicz; Hartwig Huland; Markus Graefen
Journal:  World J Urol       Date:  2007-02-27       Impact factor: 4.226

3.  Validation of the Kattan Nomogram for Prostate Cancer Recurrence After Radical Prostatectomy.

Authors:  Rochelle Payne Ondracek; Michael W Kattan; Christine Murekeyisoni; Changhong Yu; Eric C Kauffman; James R Marshall; James L Mohler
Journal:  J Natl Compr Canc Netw       Date:  2016-11       Impact factor: 11.908

4.  Beyond prostate-specific antigen: new serologic biomarkers for improved diagnosis and management of prostate cancer.

Authors:  Shahrokh F Shariat; Eduardo I Canto; Michael W Kattan; Kevin M Slawin
Journal:  Rev Urol       Date:  2004

5.  The future in advanced prostate cancer: take your partners or is the last dance for me?

Authors:  David I Quinn
Journal:  Rev Urol       Date:  2004

6.  From sequence to molecular pathology, and a mechanism driving the neuroendocrine phenotype in prostate cancer.

Authors:  Anna V Lapuk; Chunxiao Wu; Alexander W Wyatt; Andrew McPherson; Brian J McConeghy; Sonal Brahmbhatt; Fan Mo; Amina Zoubeidi; Shawn Anderson; Robert H Bell; Anne Haegert; Robert Shukin; Yuzhuo Wang; Ladan Fazli; Antonio Hurtado-Coll; Edward C Jones; Faraz Hach; Fereydoun Hormozdiari; Iman Hajirasouliha; Paul C Boutros; Robert G Bristow; Yongjun Zhao; Marco A Marra; Andrea Fanjul; Christopher A Maher; Arul M Chinnaiyan; Mark A Rubin; Himisha Beltran; S Cenk Sahinalp; Martin E Gleave; Stanislav V Volik; Colin C Collins
Journal:  J Pathol       Date:  2012-07       Impact factor: 7.996

7.  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
Journal:  J Clin Oncol       Date:  2005-10-01       Impact factor: 44.544

Review 8.  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

9.  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

10.  Cost effectiveness of risk-prediction tools in selecting patients for immediate post-prostatectomy treatment.

Authors:  Valentina Bayer Zubek; Andre Konski
Journal:  Mol Diagn Ther       Date:  2009       Impact factor: 4.074

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