Naive Bayesian network-based contribution analysis of tumor biology and healthcare factors to racial disparity in breast cancer stage-at-diagnosis.

ABSTRACT:

Background

Variation in breast cancer stage at initial diagnosis (including racial disparities) is driven both by tumor biology and healthcare factors.

Methods

We studied women age 67-74 with initial diagnosis of breast cancer from 2006 through 2014 in the SEER-Medicare database. We extracted variables related to tumor biology (histologic grade and hormone receptor status) and healthcare factors (screening mammography [SM] utilization and time delay from mammography to diagnostic biopsy). We used naïve Bayesian networks (NBNs) to illustrate the relationships among patient-specific factors and stage-at-diagnosis for African American (AA) and white patients separately. After identifying and controlling confounders, we conducted counterfactual inference through the NBN, resulti

SUBMITTER: Luo Y 

PROVIDER: S-EPMC8463645 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature