Literature DB >> 22318176

[Predictive models for biochemical recurrence of prostate cancer after local treatment. Nomograms].

A Borque Fernando1, L M Esteban Escaño, G Sanz Saiz, L A Rioja Sanz.   

Abstract

In this narrative review we present the concept of nomogram in the context of predictive models in prostate cancer. In fact we try to answer the following questions from a practical and critical point of view: What is a nomogram? How to read and evaluate nomograms? What nomograms predict biochemical relapse in prostate cancer after local treatment, either surgery or radiotherapy? Why are nomograms better than risk groups stratification? And, finally, why don't clinicians use nomograms in fact?

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Year:  2012        PMID: 22318176

Source DB:  PubMed          Journal:  Arch Esp Urol        ISSN: 0004-0614            Impact factor:   0.436


  2 in total

1.  Incidence Trends and Survival Prediction of Malignant Skin Cancer: A SEER-Based Study.

Authors:  Sirong Zhu; Chao Sun; Longjiang Zhang; Xiaoan Du; Xiaodong Tan; Shuzhen Peng
Journal:  Int J Gen Med       Date:  2022-03-15

2.  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

  2 in total

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