Development, Validation, and Dissemination of an Integrated Risk Prediction Model and Decision Aid to Discern Aggressive vs Indolent Prostate Cancer (Aim 2A)

A UCSF PI-initiated study which includes comprehensive decision support intervention that may incorporate clinical, lifestyle, tumor genomic, and germline gene variant data.

The web and coaching intervention will: 1) summarize key prognostic data elements, 2) communicate relative and absolute risks of upgrading/upstaging based on each of these elements, individually and in aggregate, and 3) provide tailored educational information for informed decision making on treatment options. A key aspect of the intervention will be provision of tiered coaching to the men prior to their physician visits to help them enter information accurately into the system, understand the results of the prediction model, document their questions for their physicians, and prepare them to make better-informed treatment decisions. UCSF research team will develop the decision support intervention in phases, initially using only clinical variables, BMI (body mass index), and smoking data;and then extend it to include information from genomic and genetic inputs, as validation work progresses. Variables will be retained based on statistical evaluation of the predictive values.