Development and validation of algorithms to differentiate ductal carcinoma in situ from invasive breast cancer within administrative claims data.

ABSTRACT:

Background

Overtreatment is a common concern for patients with ductal carcinoma in situ (DCIS), but this entity is difficult to distinguish from invasive breast cancers in administrative claims data sets because DCIS often is coded as invasive breast cancer. Therefore, the authors developed and validated algorithms to select DCIS cases from administrative claims data to enable outcomes research in this type of data.

Methods

This retrospective cohort using invasive breast cancer and DCIS cases included women aged 66 to 70 years in the 2004 through 2011 Texas Cancer Registry (TCR) data linked to Medicare administrative claims data. TCR records were used as "gold" standards to evaluate the sensitivity, specificity, and positive predictive value (PPV) of 2 algorithms. Women with

SUBMITTER: Hirth JM 

PROVIDER: S-EPMC6005753 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature