Risk Prediction Tools in Oncology

Cancer prediction tools are widely available to clinicians, and the data retrieved from these tools can assist with patient counseling sessions on risk, prognosis, treatment, and recurrence. Current tools are able to synthesize data in a concise, unbiased, and evidence-based method, allowing patients to make better-informed decisions about their treatment options. As useful as these tools can be, clinicians must understand their limitations and evaluate the tools for quality and applicability.

At a Glance

• Historically, a prognostic discussion with a patient regarding a cancer diagnosis was based on physician judgment.
• Studies looking at clinician prognostic capabilities have found them to be inaccurate.
• Prediction tools have allowed for more objective diagnostic and prognostic capabilities.