Claims-Based Approach to Predict Cause-Specific Survival in Men With Prostate Cancer.

ABSTRACT: PURPOSE:Treatment decisions about localized prostate cancer depend on accurate estimation of the patient's life expectancy. Current cancer and noncancer survival models use a limited number of predefined variables, which could restrict their predictive capability. We explored a technique to create more comprehensive survival prediction models using insurance claims data from a large administrative data set. These data contain substantial information about medical diagnoses and procedures, and thus may provide a broader reflection of each patient's health. METHODS:We identified 57,011 Medicare beneficiaries with localized prostate cancer diagnosed between 2004 and 2009. We constructed separate cancer survival and noncancer survival prediction models using a training data set and assessed pe

SUBMITTER: Riviere P 

PROVIDER: S-EPMC6873997 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature