New method for determining breast cancer recurrence-free survival using routinely collected real-world health data.

ABSTRACT:

Background

In cancer survival analyses using population-based data, researchers face the challenge of ascertaining the timing of recurrence. We previously developed algorithms to identify recurrence of breast cancer. This is a follow-up study to detect the timing of recurrence.

Methods

Health events that signified recurrence and timing were obtained from routinely collected administrative data. The timing of recurrence was estimated by finding the timing of key indicator events using three different algorithms, respectively. For validation, we compared algorithm-estimated timing of recurrence with that obtained from chart-reviewed data. We further compared the results of cox regressions models (modeling recurrence-free survival) based on the algorithms versus chart review.

SUBMITTER: Jung H 

PROVIDER: S-EPMC8925135 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature