Development and validation of case-finding algorithms for recurrence of breast cancer using routinely collected administrative data.

ABSTRACT:

Background

Recurrence is not explicitly documented in cancer registry data that are widely used for research. Patterns of events after initial treatment such as oncology visits, re-operation, and receipt of subsequent chemotherapy or radiation may indicate recurrence. This study aimed to develop and validate algorithms for identifying breast cancer recurrence using routinely collected administrative data.

Methods

The study cohort included all young (≤ 40 years) breast cancer patients (2007-2010), and all patients receiving neoadjuvant chemotherapy (2012-2014) in Alberta, Canada. Health events (including mastectomy, chemotherapy, radiation, biopsy and specialist visits) were obtained from provincial administrative data. The algorithms were developed using classification and r

SUBMITTER: Xu Y 

PROVIDER: S-EPMC6408837 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature