Risk Prediction Tools in Oncology

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Abstract

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.

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