| Autor: |
Scott D. Siegel, Madeline M. Brooks, Shannon M. Lynch, Jennifer Sims-Mourtada, Zachary T. Schug, Frank C. Curriero |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Breast Cancer Research, Vol 24, Iss 1, Pp 1-13 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1465-542X |
| DOI: |
10.1186/s13058-022-01533-z |
| Popis: |
Abstract Background Triple negative breast cancer (TNBC) is an aggressive subtype of invasive breast cancer that disproportionately affects Black women and contributes to racial disparities in breast cancer mortality. Prior research has suggested that neighborhood effects may contribute to this disparity beyond individual risk factors. Methods The sample included a cohort of 3316 breast cancer cases diagnosed between 2012 and 2020 in New Castle County, Delaware, a geographic region of the US with elevated rates of TNBC. Multilevel methods and geospatial mapping evaluated whether the race, income, and race/income versions of the neighborhood Index of Concentration at the Extremes (ICE) metric could efficiently identify census tracts (CT) with higher odds of TNBC relative to other forms of invasive breast cancer. Odds ratios (OR) and 95% confidence intervals (CI) were reported; p-values |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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