Literature DB >> 17704399

Predicting outcomes in prostate cancer: how many more nomograms do we need?

Robert W Ross, Philip W Kantoff.   

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Year:  2007        PMID： 17704399     DOI： 10.1200/JCO.2007.12.2721

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


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  8 in total

Review 1.  Everything you always wanted to know about evaluating prediction models (but were too afraid to ask).

Authors:  Andrew J Vickers; Angel M Cronin
Journal:  Urology       Date:  2010-10-27       Impact factor: 2.649

2.  Prediction models in cancer care.

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

3.  Predicting post-external beam radiation therapy PSA relapse of prostate cancer using pretreatment MRI.

Authors:  Michael H Fuchsjäger; Darko Pucar; Michael J Zelefsky; Zhigang Zhang; Qianxing Mo; Leah S Ben-Porat; Amita Shukla-Dave; Liang Wang; Victor E Reuter; Hedvig Hricak
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-02-03       Impact factor: 7.038

4.  Prediction models in urology: are they any good, and how would we know anyway?

Authors:  Andrew Vickers
Journal:  Eur Urol       Date:  2009-12-29       Impact factor: 20.096

5.  Re-calibration and external validation of an existing nomogram to predict aggressive recurrences after radical prostatectomy.

Authors:  Florian R Schroeck; Michael W Kattan; Judd W Moul; William J Aronson; Joseph C Presti; Martha K Terris; Christopher J Kane; Christopher L Amling; Leon Sun; Stephen J Freedland
Journal:  BJU Int       Date:  2009-11-13       Impact factor: 5.588

6.  Do nomograms predict aggressive recurrence after radical prostatectomy more accurately than biochemical recurrence alone?

Authors:  Florian R Schroeck; William J Aronson; Joseph C Presti; Martha K Terris; Christopher J Kane; Christopher L Amling; Stephen J Freedland
Journal:  BJU Int       Date:  2008-11-18       Impact factor: 5.588

7.  Based on biomedical index data: Risk prediction model for prostate cancer.

Authors:  Hanxu Guo; Xianjie Jia; Hao Liu
Journal:  Medicine (Baltimore)       Date:  2021-04-30       Impact factor: 1.817

8.  The value of personalised risk information: a qualitative study of the perceptions of patients with prostate cancer.

Authors:  Paul K J Han; Norbert Hootsmans; Michael Neilson; Bethany Roy; Terence Kungel; Caitlin Gutheil; Michael Diefenbach; Moritz Hansen
Journal:  BMJ Open       Date:  2013-09-13       Impact factor: 2.692
  8 in total

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