Literature DB >> 16474761

When and how to use informatics tools in caring for urologic patients.

Michael W Kattan1.   

Abstract

Making predictions is an essential part of any medical decision. It is particularly crucial when considering treatment of clinically localized prostate cancer. Nomograms and prediction model software typically provide the most accurate predictions. Many nomograms have been developed, for all prostate cancer clinical states. Some of these are discussed in this review, as is their utility in facilitating decision making and informed consent.

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Year:  2005        PMID: 16474761     DOI: 10.1038/ncpuro0144

Source DB:  PubMed          Journal:  Nat Clin Pract Urol        ISSN: 1743-4270


  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.  An interactive tool for individualized estimation of conditional survival in rectal cancer.

Authors:  Samuel J Wang; Amanda R Wissel; Join Y Luh; C David Fuller; Jayashree Kalpathy-Cramer; Charles R Thomas
Journal:  Ann Surg Oncol       Date:  2011-01-05       Impact factor: 5.344

Review 3.  Tumor markers in prostate cancer I: blood-based markers.

Authors:  Shahrokh F Shariat; Axel Semjonow; Hans Lilja; Caroline Savage; Andrew J Vickers; Anders Bjartell
Journal:  Acta Oncol       Date:  2011-06       Impact factor: 4.089

Review 4.  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

Review 5.  Screening for prostate cancer: an update.

Authors:  Shahrokh F Shariat; Peter T Scardino; Hans Lilja
Journal:  Can J Urol       Date:  2008-12       Impact factor: 1.344

6.  Comparison of models to predict clinical failure after radical prostatectomy.

Authors:  Scott E Eggener; Andrew J Vickers; Angel M Serio; Michael J Donovan; Faisal M Khan; Valentina Bayer-Zubek; David Verbel; Carlos Cordon-Cardo; Victor E Reuter; Fernando J Bianco; Peter T Scardino
Journal:  Cancer       Date:  2009-01-15       Impact factor: 6.860

7.  A mathematical model for interpretable clinical decision support with applications in gynecology.

Authors:  Vanya M C A Van Belle; Ben Van Calster; Dirk Timmerman; Tom Bourne; Cecilia Bottomley; Lil Valentin; Patrick Neven; Sabine Van Huffel; Johan A K Suykens; Stephen Boyd
Journal:  PLoS One       Date:  2012-03-29       Impact factor: 3.240

8.  Visualizing Risk Prediction Models.

Authors:  Vanya Van Belle; Ben Van Calster
Journal:  PLoS One       Date:  2015-07-15       Impact factor: 3.240

9.  Use of Visual Decision Aids in Physician-Patient Communication: A Pilot Investigation.

Authors:  Mary Beth Mercer; Susannah L Rose; Cassandra Talerico; Brian J Wells; Mahesh Manne; Nirav Vakharia; Stacey Jolly; Alex Milinovich; Janine Bauman; Michael W Kattan
Journal:  J Patient Exp       Date:  2017-12-14
  9 in total

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