This study evaluates urinary biomarkers and PSA to help determine the best approach to early detection of prostate cancer in patients with an elevated familial risk.
Study Type
OBSERVATIONAL
Enrollment
200
Non-interventional study
University of Michigan Rogel Cancer Center
Ann Arbor, Michigan, United States
RECRUITINGPredictors of any HG PCa
Descriptive statistics, parametric and non-parametric statistical tests will be used to summarize the clinical variables. Will estimate the prevalence and incidence. Will fit two statistical models with cross-validation to evaluate the performance characteristics (Brier score, area under curve, sensitivity, specificity, positive and negative predictive values) of SelectMDx in predicting i) HG PCa and ii) any PCa.
Time frame: At 5-years follow up
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