4.4 Article

Racial, ethnic and socioeconomic disparities in diagnosis, treatment, and survival of patients with breast cancer

Journal

AMERICAN JOURNAL OF SURGERY
Volume 225, Issue 1, Pages 154-161

Publisher

EXCERPTA MEDICA INC-ELSEVIER SCIENCE INC
DOI: 10.1016/j.amjsurg.2022.07.003

Keywords

Breast cancer; Race; Socioeconomic status; Surgical oncology; Health-care disparity

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The objective of this study was to investigate the impact of race/ethnicity and socioeconomic status on breast cancer outcomes. The results showed that Non-Hispanic Black and Hispanic patients were more likely to present with advanced stage disease compared to Non-Hispanic White patients. Additionally, Non-Hispanic Black and Hispanic patients were less likely to undergo breast-reconstruction. Furthermore, Non-Hispanic Black patients had increased hazard for all-cause mortality, and all-cause mortality increased with worsening socioeconomic status.
Background: The objective of this study was to determine the influence of race/ethnicity and socioeconomic status (SES) on breast cancer outcomes. Methods: A retrospective analysis was performed of Non-Hispanic Black (NHB), Non-Hispanic White (NHW), and Hispanic patients with non-metastatic breast cancer in the SEER cancer registry between 2007 and 2016. Results: A total of 382,975 patients were identified. On multivariate analysis, NHB (OR 1.18, 95%CI: 1.15-1.20) and Hispanic (OR 1.20, 95%CI: 1.17-1.22) patients were more likely to present with higher stage disease than NHW patients. There was an increased likelihood of not undergoing breast-reconstruction for NHB (OR 1.07, 95%CI: 1.03-1.11) and Hispanic patients (OR 1.60, 95%CI 1.54-1.66). NHB patients had increased hazard for all-cause mortality (HR: 1.13, 95%CI 1.10-1.16). All-cause mortality increased across SES categories (lower SES: HR 1.33, 95%CI 1.30-1.37, middle SES: HR 1.20, 95%CI 1.17-1.23). Conclusions: This population-based analysis confirms worse disease presentation, access to surgical therapy, and survival across racial, ethnic, and socioeconomic factors. These disparities were compounded across worsening SES and insurance coverage.

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