Literature DB >> 12474529

A validation of two preoperative nomograms predicting recurrence following radical prostatectomy in a cohort of European men.

Markus Graefen1, Pierre I Karakiewicz, Ilias Cagiannos, Peter G Hammerer, Alexander Haese, Jüri Palisaar, Salvador Fernandez, Jochen Noldus, Andreas Erbersdobler, Hartwig Huland, Peter T Scardino, Michael W Kattan.   

Abstract

Kattan et al. at Baylor College of Medicine and D'Amico et al. at Harvard Medical School have each developed preoperative nomograms for prostate cancer recurrence after radical prostatectomy based on readily available clinical variables. Calibration and validation of those tools was achieved using North American patient cohorts, and their validity has not yet been shown in patients from other continents. We investigated the predictive accuracy of these nomograms when applied to European men with localized prostate cancer. Clinical data from patients who underwent radical prostatectomy at the University-Hospital Hamburg and fitted the respective derivation criteria were used for external validation (n = 1003 for the Kattan-Nomogram, n = 932 men for the D'Amico-Nomogram). Nomogram predictions of the probability for 2-years and 5-years freedom from recurrence predicted by the D'Amico-Nomogram and the Kattan-Nomogram respectively were compared with actual follow-up. The predictive accuracy of the nomograms was tested using areas under the receiver-operating-characteristic curves (AUC). The D'Amico-Nomogram AUC predicting 2-years probability of freedom from PSA recurrence was 0.80 vs. Kattan-Nomogram 5-years prediction with an AUC of 0.83. Using the 932 patients who exactly fit the derivation criteria of both nomograms, the predictive accuracy of the Kattan-Nomogram was 0.81. The superiority in predictive accuracy of the Kattan-Nomogram was statistically significant (p = 0.0274) but of unclear clinical significance. The two nomograms predicted recurrence with similar accuracy when applied to men diagnosed with localized prostate cancer in Germany. The high predictive accuracy of both nomograms demonstrates that these predictive tools derived in the U.S. can be applied to non-U.S. patients.

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Year:  2002        PMID: 12474529     DOI: 10.1016/s1078-1439(02)00177-1

Source DB:  PubMed          Journal:  Urol Oncol        ISSN: 1078-1439            Impact factor:   3.498


  15 in total

1.  External validation of a nomogram for the prediction of 10-year life expectancy in candidates for radical prostatectomy.

Authors:  Sophie Knipper; David Pröwrock; Zhe Tian; Hans Heinzer; Derya Tilki; Pierre Karakiewicz; Markus Graefen
Journal:  World J Urol       Date:  2019-03-04       Impact factor: 4.226

Review 2.  Formalized prediction of clinically significant prostate cancer: is it possible?

Authors:  Carvell T Nguyen; Michael W Kattan
Journal:  Asian J Androl       Date:  2012-02-27       Impact factor: 3.285

3.  Prediction models in cancer care.

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

4.  Temporal trends and predictors of pelvic lymph node dissection in open or minimally invasive radical prostatectomy.

Authors:  Andrew H Feifer; Elena B Elkin; William T Lowrance; Brian Denton; Lindsay Jacks; David S Yee; Jonathan A Coleman; Vincent P Laudone; Peter T Scardino; James A Eastham
Journal:  Cancer       Date:  2011-03-15       Impact factor: 6.860

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

Review 6.  Use of nomograms as predictive tools in bladder cancer.

Authors:  Ahmad Shabsigh; Bernard H Bochner
Journal:  World J Urol       Date:  2006-11       Impact factor: 4.226

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

Review 8.  MR imaging of the prostate in clinical practice.

Authors:  Yousef Mazaheri; Amita Shukla-Dave; Ada Muellner; Hedvig Hricak
Journal:  MAGMA       Date:  2008-09-16       Impact factor: 2.310

9.  Improved prediction of prostate cancer recurrence through systems pathology.

Authors:  Carlos Cordon-Cardo; Angeliki Kotsianti; David A Verbel; Mikhail Teverovskiy; Paola Capodieci; Stefan Hamann; Yusuf Jeffers; Mark Clayton; Faysal Elkhettabi; Faisal M Khan; Marina Sapir; Valentina Bayer-Zubek; Yevgen Vengrenyuk; Stephen Fogarsi; Olivier Saidi; Victor E Reuter; Howard I Scher; Michael W Kattan; Fernando J Bianco; Thomas M Wheeler; Gustavo E Ayala; Peter T Scardino; Michael J Donovan
Journal:  J Clin Invest       Date:  2007-07       Impact factor: 14.808

10.  Significant change in predicted risk of biochemical recurrence after radical prostatectomy more common in black than in white men.

Authors:  Melissa A Laudano; Ketan K Badani; Tara R McCann; Mark J Mann; Chad Ritch; Manisha Desai; Mitchell C Benson; James M McKiernan
Journal:  Urology       Date:  2009-07-09       Impact factor: 2.649

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