Literature DB >> 17951203

Information content of five nomograms for outcomes in prostate cancer.

Tarek A Bismar1, Peter Humphrey, Robin T Vollmer.   

Abstract

In this study, we used 327 cases of localized prostate cancer to determine the information content provided by 5 popular nomograms for predicting outcomes in localized prostate cancer. All study patients underwent radical prostatectomy. For each case and each nomogram, we calculated the estimated probability of outcome, and, from this probability, we calculated the information content as 1-S, where S is the entropy. With this definition, information content is minimized at 0 and maximized at 1. We found that the average information content ranged from 0.16 for the Partin tables to 0.44 for the recent Kattan nomogram for 10-year disease-free survival. Furthermore, the Kattan 10-year nomogram provided information content greater than 0.5 for 50% of study cases, so that among these 5 nomograms, we judged its performance the best. Nevertheless, because even this nomogram provided less than 0.5 information content for 50% of our cases, we believe that it can be improved and that additional measurements or markers observed on the biopsy tissues are likely to produce better nomograms.

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Year:  2007        PMID: 17951203     DOI: 10.1309/XA419Q75F5D2TVJN

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  3 in total

Review 1.  A model for the design and construction of a resource for the validation of prognostic prostate cancer biomarkers: the Canary Prostate Cancer Tissue Microarray.

Authors:  Sarah Hawley; Ladan Fazli; Jesse K McKenney; Jeff Simko; Dean Troyer; Marlo Nicolas; Lisa F Newcomb; Janet E Cowan; Luis Crouch; Michelle Ferrari; Javier Hernandez; Antonio Hurtado-Coll; Kyle Kuchinsky; Janet Liew; Rosario Mendez-Meza; Elizabeth Smith; Imelda Tenggara; Xiaotun Zhang; Peter R Carroll; June M Chan; Martin Gleave; Raymond Lance; Daniel W Lin; Peter S Nelson; Ian M Thompson; Ziding Feng; Lawrence D True; James D Brooks
Journal:  Adv Anat Pathol       Date:  2013-01       Impact factor: 3.875

2.  The impact of dose-escalated radiotherapy plus androgen deprivation for prostate cancer using 2 linked nomograms.

Authors:  Radka Stoyanova; Niraj H Pahlajani; Brian L Egleston; Mark K Buyyounouski; David Y T Chen; Eric M Horwitz; Alan Pollack
Journal:  Cancer       Date:  2012-10-23       Impact factor: 6.860

3.  Optimizing the clinical utility of PCA3 to diagnose prostate cancer in initial prostate biopsy.

Authors:  Jose Rubio-Briones; Angel Borque; Luis M Esteban; Juan Casanova; Antonio Fernandez-Serra; Luis Rubio; Irene Casanova-Salas; Gerardo Sanz; Jose Domínguez-Escrig; Argimiro Collado; Alvaro Gómez-Ferrer; Inmaculada Iborra; Miguel Ramírez-Backhaus; Francisco Martínez; Ana Calatrava; Jose A Lopez-Guerrero
Journal:  BMC Cancer       Date:  2015-09-11       Impact factor: 4.430

  3 in total

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