Literature DB >> 20071072

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

Andrew Vickers.   

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Year:  2009        PMID： 20071072      PMCID： PMC2891896          DOI： 10.1016/j.eururo.2009.12.026

Source DB:  PubMed          Journal:  Eur Urol        ISSN： 0302-2838            Impact factor:   20.096


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  15 in total

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

Authors:  Robert W Ross; Philip W Kantoff
Journal:  J Clin Oncol       Date:  2007-08-20       Impact factor: 44.544

Review 2.  Recent trends in Gleason grading of prostate cancer: I. Pattern interpretation.

Authors:  Lars Egevad
Journal:  Anal Quant Cytol Histol       Date:  2008-08       Impact factor: 0.302

3.  Head-to-head comparison of the three most commonly used preoperative models for prediction of biochemical recurrence after radical prostatectomy.

Authors:  Giovanni Lughezzani; Lars Budäus; Hendrik Isbarn; Maxine Sun; Paul Perrotte; Alexander Haese; Felix K Chun; Thorsten Schlomm; Thomas Steuber; Hans Heinzer; Hartwig Huland; Francesco Montorsi; Markus Graefen; Pierre I Karakiewicz
Journal:  Eur Urol       Date:  2009-12-10       Impact factor: 20.096

Review 4.  An updated catalog of prostate cancer predictive tools.

Authors:  Shahrokh F Shariat; Pierre I Karakiewicz; Claus G Roehrborn; Michael W Kattan
Journal:  Cancer       Date:  2008-12-01       Impact factor: 6.860

5.  Nomogram predicting the probability of early recurrence after radical prostatectomy for prostate cancer.

Authors:  Jochen Walz; Felix K-H Chun; Eric A Klein; Alwyn Reuther; Fred Saad; Markus Graefen; Hartwig Huland; Pierre I Karakiewicz
Journal:  J Urol       Date:  2008-12-13       Impact factor: 7.450

6.  Predicting an optimal outcome after radical prostatectomy: the trifecta nomogram.

Authors:  James A Eastham; Peter T Scardino; Michael W Kattan
Journal:  J Urol       Date:  2008-04-18       Impact factor: 7.450

7.  The Prostate Cancer Prevention Trial and European Randomized Study of Screening for Prostate Cancer risk calculators indicating a positive prostate biopsy: a comparison.

Authors:  Roderick C N van den Bergh; Monique J Roobol; Tineke Wolters; Pim J van Leeuwen; Fritz H Schröder
Journal:  BJU Int       Date:  2008-08-18       Impact factor: 5.588

8.  Preoperative and postoperative nomograms incorporating surgeon experience for clinically localized prostate cancer.

Authors:  Michael W Kattan; Andrew J Vickers; Changhong Yu; Fernando J Bianco; Angel M Cronin; James A Eastham; Eric A Klein; Alwyn M Reuther; Jose Edson Pontes; Peter T Scardino
Journal:  Cancer       Date:  2009-03-01       Impact factor: 6.860

9.  Development of a prostate cancer metagram: a solution to the dilemma of which prediction tool to use in patient counseling.

Authors:  Carvell T Nguyen; Michael W Kattan
Journal:  Cancer       Date:  2009-07-01       Impact factor: 6.860

10.  Improved prediction of disease relapse after radical prostatectomy through a panel of preoperative blood-based biomarkers.

Authors:  Shahrokh F Shariat; Jose A Karam; Jochen Walz; Claus G Roehrborn; Francesco Montorsi; Vitaly Margulis; Fred Saad; Kevin M Slawin; Pierre I Karakiewicz
Journal:  Clin Cancer Res       Date:  2008-06-15       Impact factor: 12.531
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  7 in total

1.  The CAPRA-S score: A straightforward tool for improved prediction of outcomes after radical prostatectomy.

Authors:  Matthew R Cooperberg; Joan F Hilton; Peter R Carroll
Journal:  Cancer       Date:  2011-06-03       Impact factor: 6.860

2.  Positive STAT5 Protein and Locus Amplification Status Predicts Recurrence after Radical Prostatectomy to Assist Clinical Precision Management of Prostate Cancer.

Authors:  Bassem R Haddad; Andrew Erickson; Vindhya Udhane; Peter S LaViolette; Janice D Rone; Markku A Kallajoki; William A See; Antti Rannikko; Tuomas Mirtti; Marja T Nevalainen
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-07-10       Impact factor: 4.254

3.  Risk prediction scores for recurrence and progression of non-muscle invasive bladder cancer: an international validation in primary tumours.

Authors:  Moniek M Vedder; Mirari Márquez; Esther W de Bekker-Grob; Malu L Calle; Lars Dyrskjøt; Manoils Kogevinas; Ulrika Segersten; Per-Uno Malmström; Ferran Algaba; Willemien Beukers; Torben F Ørntoft; Ellen Zwarthoff; Francisco X Real; Nuria Malats; Ewout W Steyerberg
Journal:  PLoS One       Date:  2014-06-06       Impact factor: 3.240

4.  External Validation of the Cancer of the Prostate Risk Assessment Postsurgical Score for Prediction of Disease Recurrence after Radical Prostatectomy.

Authors:  Taha Numan Yıkılmaz; Erdem Öztürk; Eşref Oğuz Güven; Halil Başar
Journal:  Adv Med       Date:  2016-10-19

5.  External validation of the cancer of the prostate risk assessment-s score in koreans undergoing radical prostatectomy.

Authors:  Ki Taek Seong; Ju Hyun Lim; Chang Myon Park; Han Kwon Kim; Jong Yeon Park
Journal:  Korean J Urol       Date:  2013-07-15

6.  Cancer of the Prostate Risk Assessment (CAPRA) Preoperative Score Versus Postoperative Score (CAPRA-S): ability to predict cancer progression and decision-making regarding adjuvant therapy after radical prostatectomy.

Authors:  Won Ik Seo; Pil Moon Kang; Dong Il Kang; Jang Ho Yoon; Wansuk Kim; Jae Il Chung
Journal:  J Korean Med Sci       Date:  2014-09-02       Impact factor: 2.153

7.  A Nomogram for Predicting the Likelihood of Obstructive Sleep Apnea to Reduce the Unnecessary Polysomnography Examinations.

Authors:  Miao Luo; Hai-Yan Zheng; Ying Zhang; Yuan Feng; Dan-Qing Li; Xiao-Lin Li; Jian-Fang Han; Tao-Ping Li
Journal:  Chin Med J (Engl)       Date:  2015-08-20       Impact factor: 2.628
  7 in total

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