ArticleCancer causes & control : CCC2020
Integrating access to care and tumor patterns by race and age in the Carolina Breast Cancer Study, 2008-2013.
Article in Cancer causes & control : CCC, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Unmet needs among long-term breast cancer survivors.Cancer causes & control : CCC · 2025Article
- Genomic Analysis Reveals Racial and Age-Related Differences in the Somatic Landscape of Breast Cancer and the Association with Socioeconomic Factors.Cancer research · 2025Article
- Spatial Clustering for Carolina Breast Cancer Study.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2025Article
- Article
- Stain SAN: simultaneous augmentation and normalization for histopathology images.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- Disparities in OncotypeDx Testing and Subsequent Chemotherapy Receipt by Geography and Socioeconomic Status.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024Article
- Job loss, return to work, and multidimensional well-being after breast cancer treatment in working-age Black and White women.Journal of cancer survivorship : research and practice · 2023Article
- Article
- Article
- Children's oral health-related behaviours and early childhood caries: A latent class analysis.Community dentistry and oral epidemiology · 2022Article
- Racial differences in breast cancer outcomes by hepatocyte growth factor pathway expression.Breast cancer research and treatment · 2022Article
- Breast cancer treatment patterns by age and time since last pregnancy in the Carolina Breast Cancer Study Phase III.Breast cancer research and treatment · 2022Article
- Racial and socioeconomic disparities in breast cancer diagnosis and mortality in Pennsylvania.Breast cancer research and treatment · 2022Article
- The DNA damage repair landscape in Black women with breast cancer.Therapeutic advances in medical oncology · 2022Article
- Hepatocyte growth factor pathway expression in breast cancer by race and subtype.Breast cancer research : BCR · 2021Article
- Breast cancer treatment delays by socioeconomic and health care access latent classes in Black and White women.Cancer · 2020Article
- Variation in Breast Cancer Subtype Incidence and Distribution by Race/Ethnicity in the United States From 2010 to 2015.JAMA network open · 2020Article
- Integrating biology and access to care in addressing breast cancer disparities: 25 years' research experience in the Carolina Breast Cancer Study.Current breast cancer reports · 2020Article
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8 authors.
Funding
Abstract
purposeUnderstanding breast cancer mortality disparities by race and age is complex due to disease heterogeneity, comorbid disease, and the range of factors influencing access to care. It is important to understand how these factors group together within patients.
methodsWe compared socioeconomic status (SES) and comorbidity factors in the Carolina Breast Cancer Study Phase 3 (CBCS3, 2008-2013) to those for North Carolina using the 2010 Behavioral Risk Factor Surveillance Study. In addition, we used latent class analysis of CBCS3 data to identify covariate patterns by SES/comorbidities, barriers to care, and tumor characteristics and examined their associations with race and age using multinomial logistic regression.
resultsMajor SES and comorbidity patterns in CBCS3 participants were generally similar to patterns in the state. Latent classes were identified for SES/comorbidities, barriers to care, and tumor characteristics that varied by race and age. Compared to white women, black women had lower SES (odds ratio (OR) 6.3, 95% confidence interval (CI) 5.2, 7.8), more barriers to care (OR 5.6, 95% CI 3.9, 8.1) and several aggregated tumor aggressiveness features. Compared to older women, younger women had higher SES (OR 0.5, 95% CI 0.4, 0.6), more barriers to care (OR 2.1, 95% CI 1.6, 2.9) and aggregated tumor aggressiveness features.
conclusionsCBCS3 is representative of North Carolina on comparable factors. Patterns of access to care and tumor characteristics are intertwined with race and age, suggesting that interventions to address disparities will need to target both access and biology.
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