[Predictive model for XXXX in @entity1 with biopsy indication].

@entity1 @entity2286 @entity263 @entity11179
OBJECTIVE: Attemp to determine the probability of developing @entity263 taking into acc age, digital rectal examination and @entity11179 once a transrectal biopsy has been indicated, so that both doctors and @entity1 have mor information to face such pathology. MATERIAL AND METHODS: Retrospective study of 633 biopsies, taken into acc the @entity1 's age, digital rectal examination, @entity11179 level and histology. The data were included in a database created with Access and were put a logistic regression by mens the software program SPSS. RESULTS: Once the biopsy is indicated, digital rectal examination is the parameter offesing a higher discriminatory valuer with an odd ratio of 5.9 (CI 95%, 3.9-8.9). The mathematical model obtained shows a sensitivity level of 57% and a level of specificity of 84%. Pre-test probability is 36%, the probability post-test increasing up to 70%, and a negative predictive value of 77% and a positive predictive value of 67%. CONCLUSIONS: The mathematical model obtained individually determines the probability of suffering from @entity263 . Moreover, using this model the probabilities obtained re more precise than those derived from the fact of fulfilling the criteria for a prostatic biopsy. Once a biopsy is indicated, the rectal examination becomes the parameter with a higher predictive value of PC, irrespective of @entity11179 and age. The @entity2286 of the model is higher than of the @entity11179 or the digital recta examination used separately.
