SciELO - Scientific Electronic Library Online

 
vol.30 issue6Laparoscopic extraperitoneal radical prostatectomy: evolution in time and updated resultsEpidemiological situation of prostate cancer in Spain author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Actas Urológicas Españolas

Print version ISSN 0210-4806

Abstract

SEGARRA TOMAS, J.; MILLAN RODRIGUEZ, F.; PALOU REDORTA, J.  and  VILLAVICENCIO MAVRICH, H.. Prognostic factor and prediction tables for clinically localized prostate cancer. Actas Urol Esp [online]. 2006, vol.30, n.6, pp.567-573. ISSN 0210-4806.

Introduction and objectives: To identify the independent prognostic factors of prostate cancer and to develop a table for predicting the probabilities of not-localised prostate cancer occurrence, thus permitting to restrict the radical prostatectomy indication to those patients who have greater probabilities of being cured by the procedure. Methods: 1293 patients with clinically localised prostate cancer, with histories of neither hormone therapy nor prostate radiation therapy, in whom radical prostatectomy was performed during the period 1990-2003, were retrospectively evaluated. In order to analyse the prognostic factors, logistic regression was carried out by studying all the potential confusion and interaction factors, and by introducing the independent variables in a forward fashion with the following criteria: BCON(0.0001) LCON(0.00001) ITER(50) POUT(0.1). The prognostic variables were categorised, and the prediction table of the not-localised prostate cancer probability was developed from them. Results: Clinical stage, prostatic specific antigen and Gleason's "grade" were identified as prognostic factors, taking into account that the higher they are, the higher the probability of not-localised prostate cancer occurrence. Logistic regression enabled us to develop a table to predict the probability of not-localised prostate cancer in which, taking a 50% probability as the cutoff point, a 26.13% sensitivity and a 94.65% specificity are obtained. The pathological examination of the prostate and the lymphadenectomy showed that, globally, 70% of the tumours were localised. Conclusions: Application of tables to predicting the probability of having not-localised prostate cancer offers the possibility of improving the prognostic accuracy of the so-called "risk groups", and enables to issue a therapeutic indication better adjusted to the actual status of the disease.

Keywords : Prostate; Prostatic neoplasms; Prostatectomy; Neoplasm staging; Prognosis; Nomogram.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License