A new tool to predict an individual's prognosis following a prostate cancer (lat. Prostate Carcinoma) diagnosis that could help prevent unnecessary treatment and related side effects has been developed by the researchers at the University of Cambridge (UCamb). The tool, PREDICT Prostate brings together the latest evidence and mathematical models to give a personalised prognosis, which the researchers say will empower patients as they discuss treatment options with their consultant. When a patient is diagnosed with prostate cancer, they are currently classified as low, intermediate or high risk. Depending on the patient's risk group, clinicians will recommend either an 'active monitoring' approach or treatment. Treatment options include radiotherapy or surgery and can have potentially significant side-effects, including erectile dysfunction and urinary incontinence.