Risk prediction of prostate cancer mortality in a screening cohort.
Principal Investigator
Name
Patrick Lewicki
Degrees
M.D.
Institution
University of Michigan
Position Title
Clinical Instructor
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-1439
Initial CDAS Request Approval
Jan 9, 2024
Title
Risk prediction of prostate cancer mortality in a screening cohort.
Summary
Current practice patterns around prostate cancer screening and referral to urology following PSA testing are unclear. The extent to which referrals to urology are based on whether or not a PSA value is flagged as abnormal is likely greater than the extent to which they are based on actual lifetime risk of prostate cancer mortality. We intend to use the PLCO data to generate a prediction model for prostate cancer mortality adjusting for the competing risk of other cause mortality. This model will then be applied to an institutional PSA screening dataset to understand whether or not referrals to urology could be improved to better reflect individuals' risk of prostate cancer mortality.
Aims
Model lifetime risk of prostate cancer mortality amongst a screening population.
Model lifetime risk of non-prostate cancer mortality amongst patients screened for prostate cancer.
Create a multivariable prediction model to estimate risk of prostate cancer mortality adjusting for the competing risk of other cause mortality.
Collaborators
Dr. Kristian Stensland
Dr. Matthew Schipper