7 Key Takeaways
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1
New prognostic model predicts prostate cancer-specific mortality risk.
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2
AUC of 78% in external validation cohort.
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3
Developed from the PLCO Cancer Screening Trial data.
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4
Incorporates competing risks for other-cause mortality.
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Clinically relevant threshold for screening discontinuation set at 0.5% risk.
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6
Useful in stratifying patients at PSA screening point.
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7
Aims to improve outcomes in prostate cancer management.
A new prognostic model predicts prostate cancer-specific mortality risk more accurately than existing biopsy calculators, validated through a study involving over 200,000 veterans. This model, derived from the PLCO Cancer Screening Trial, addresses significant gaps in decision-making for the 10 million PSA tests conducted annually by utilizing competing risks and time-to-event predictions. Developed by Dr. Patrick Lewicki's team at the University of Michigan, it aims to better inform patient screening strategies and improve outcomes in prostate cancer management.
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