Statistical Models Support Active Surveillance for Prostate Cancer

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New statistical models developed by researchers at the Dana-Farber Cancer Institute in Boston suggest that active surveillance may be highly appropriate and lead to better quality of life for men diagnosed with low-risk prostate cancer.

These models also show a significant cost-savings is associated with active surveillance.

John Schieszer reports in today's Medical Minute that these models are based on a variety of scenarios, focusing on men ages 65 to 75 at diagnosis.

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