OBJECTIVES: To evaluate the discrimination, calibration, and net benefit performance of the Prostate Cancer Prevention Trial Risk Calculator (PCPTRC) across five European randomized study of screening for prostate cancer (ERSPC), 1 United Kingdom, 1 Austrian, and 3 US biopsy cohorts. METHODS: PCPTRC risks were calculated for 25,733 biopsies using prostate-specific antigen (PSA), digital rectal examination, family history, history of prior biopsy, and imputation for missing covariates. Predictions were evaluated using the areas underneath the receiver operating characteristic curves (AUC), discrimination slopes, chi-square tests of goodness of fit, and net benefit decision curves. RESULTS: AUCs of the PCPTRC ranged from a low of 56% in the E...
Background: The validity of prediction models needs external validation to assess their value beyond...
Background: The validity of prediction models needs external validation to assess their value beyond...
Background: The validity of prediction models needs external validation to assess their value beyond...
BackgroundProstate cancer prediction tools provide quantitative guidance for doctor-patient decision...
BACKGROUND: Prostate cancer prediction tools provide quantitative guidance for doctor-patient decisi...
BACKGROUND: Prostate cancer prediction tools provide quantitative guidance for doctor-patient decisi...
OBJECTIVE To compare the Prostate Cancer Prevention Trial Risk Calculator (PCPT-RC) and European Ran...
Background: Prostate cancer (PCa) represents a significant healthcare problem. The critical clinical...
Background: Prostate cancer (PCa) represents a significant healthcare problem. The critical clinical...
Background: Prostate cancer (PCa) represents a significant healthcare problem. The critical clinical...
Background: Prediction models need validation to assess their value outside the development setting....
Background: Prediction models need validation to assess their value outside the development setting....
Background: Prediction models need validation to assess their value outside the development setting....
Background: Prediction models need validation to assess their value outside the development setting....
PURPOSE: To externally validate a novel prostate cancer (PCa) risk-calculator (RC), based on data of...
Background: The validity of prediction models needs external validation to assess their value beyond...
Background: The validity of prediction models needs external validation to assess their value beyond...
Background: The validity of prediction models needs external validation to assess their value beyond...
BackgroundProstate cancer prediction tools provide quantitative guidance for doctor-patient decision...
BACKGROUND: Prostate cancer prediction tools provide quantitative guidance for doctor-patient decisi...
BACKGROUND: Prostate cancer prediction tools provide quantitative guidance for doctor-patient decisi...
OBJECTIVE To compare the Prostate Cancer Prevention Trial Risk Calculator (PCPT-RC) and European Ran...
Background: Prostate cancer (PCa) represents a significant healthcare problem. The critical clinical...
Background: Prostate cancer (PCa) represents a significant healthcare problem. The critical clinical...
Background: Prostate cancer (PCa) represents a significant healthcare problem. The critical clinical...
Background: Prediction models need validation to assess their value outside the development setting....
Background: Prediction models need validation to assess their value outside the development setting....
Background: Prediction models need validation to assess their value outside the development setting....
Background: Prediction models need validation to assess their value outside the development setting....
PURPOSE: To externally validate a novel prostate cancer (PCa) risk-calculator (RC), based on data of...
Background: The validity of prediction models needs external validation to assess their value beyond...
Background: The validity of prediction models needs external validation to assess their value beyond...
Background: The validity of prediction models needs external validation to assess their value beyond...