title: [Prognostic factors and predictive tables of non-localized prostate cancer that exclude therapy by radical prostatectomy].
abstract: OBJECTIVE
  To know the predictive factors of the no localized prostatic cancer (NLPC) with the intention of improving the indications of the radical prostatectomy.
  
  
  METHODS
  A longitudinal, observational, analytic and retrospective study is made with our first 216 radical prostatectomies. A multivariate analysis by logistic regression has been made. A predictive evacuation with the odds ratio of the risc factors, a ROC curve and predictive tables of the NLPC are obtained.
  
  
  RESULTS
  Clinical stage, PSA and Gleason are predictive factors of the NLPC. The predictive evacuation with a cut point of probability p = 0.5 has a specificity of 81%, a sensibility of 70% and global diagnostic capacity of 75%. NLCP odds ratio are: Gleason 5,6,7/Gleason 2,3,4 = 2.6, Gleason 8,9,10/Gleason 5,6,7 = 3, Gleason 8,9,10/Gleason 2,3,4 = 7.6, T2/T1 = 2, T3/T2 = 5, T3/T1 = 10 and PSA = 1. After the study of the predictive tables it can be concluded that T3, Gleason > = 8 and PSA > = 30 have a very high NLPC probability.
  
  
  CONCLUSIONS
  PSA, Gleason and clinical stage are NLPC predictive factors. Predictive tables to know the NLPC probability by these 3 factors are available.
authors.affiliation: Servicio de Urología, Fundación Puígvert, Barcelona.
authors.forename: H
authors.initials: H
authors.lastname: Villavicencio Mavrich
authors.forename: F
authors.initials: F
authors.lastname: Millán Rodríguez
authors.forename: G
authors.initials: G
authors.lastname: Chéchile Toniolo
authors.forename: D
authors.initials: D
authors.lastname: Salinas Duffo
authors.forename: J
authors.initials: J
authors.lastname: Vicente Rodríguez
mesh_terms: D000368:Aged; D014408:Biomarkers, Tumor; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D019370:Observation; D011379:Prognosis; D011468:Prostatectomy; D011471:Prostatic Neoplasms / Q000473:pathology* / Q000601:surgery; D012189:Retrospective Studies
chemical_list: D014408:Biomarkers, Tumor