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Social Vulnerability May Contribute to Disparities in Ovarian Cancer Survival
Neighborhood vulnerability was associated with poorer survival among women with epithelial ovarian cancer, with a stronger association among Black women.
To analyze the association between residential context and survival outcomes among Black and White women with epithelial ovarian cancer.
Approach:
Study Design: Investigators analyzed overall survival outcomes among 509 Black women and 2,035 White women treated for epithelial ovarian cancer from January 2000 to May 2023, with follow-up through June 2024.
Assessment Method: Residential context was assessed using the 2020 Social Vulnerability Index (SVI) at the census-tract level.
Statistical Analysis: Models accounted for race, age at diagnosis, decade of diagnosis, cancer stage, and histologic type.
Key Findings:
Black women had 45% higher adjusted odds of mortality compared to White women.
Black women were more likely to live in areas with greater social vulnerability, with a median SVI of 0.78 vs 0.48 for White women.
Residence in a high-SVI area was associated with 20% higher adjusted odds of mortality compared to low-SVI areas.
Black women in high-SVI areas had 77% higher adjusted odds of mortality compared to White women in low-SVI areas.
The combination of identifying as Black and having high social vulnerability was associated with 33% greater odds of mortality.
Black women in low- and high-SVI areas had 20% and 60% higher adjusted odds of mortality compared to White women in similar areas.
Limitations:
The study was observational, preventing the establishment of causality.
Data was sourced from a single tertiary cancer center, with 97% of patients from Alabama, limiting generalizability.
The study included only Black and White women, restricting applicability to other racial groups.
Historical neighborhood conditions may have been misclassified due to applying 2020 SVI data to patients diagnosed between 2000 and 2023.
Lack of data on treatment regimens, tumor mutations, comorbidities, and patient-level factors such as employment and education.
Experiences like discrimination and clinician bias were not captured, leaving room for residual confounding.
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