Do differences in medical comorbidities and treatment impact racial disparities in epithelial ovarian cancer?

医疗合并症和治疗方面的差异是否会影响上皮性卵巢癌的种族差异?

阅读:1

Abstract

BACKGROUND: Population-based studies of women with epithelial ovarian cancer suggest that black women have worse survival compared to white women. The primary objective of this study was to determine if, at a National Cancer Institute (NCI)-Designated Comprehensive Cancer Center (CCC) serving a diverse racial and socioeconomic population, race is independently associated with differences in survival. METHODS: A retrospective review of women with EOC diagnosed between 2004-2009 undergoing treatment with follow-up at our institution was performed. Records were reviewed for demographics, comorbidities (as defined by the Charlson Comorbidity Index (CCI)), tumor characteristics, treatment, progression-free (PFS), and overall survival (OS). Survival was calculated using the Kaplan-Meier method and compared with the log-rank test. Multivariate survival analysis was performed with Cox (proportional hazards) model. RESULTS: 367 patients met inclusion criteria. 54 (15%) were black and 308 (84%) were white. Compared to white women, black women had higher BMI, lower rates of optimal surgical cytoreduction, lower rates of intraperitoneal chemotherapy, and higher CCI scores. The median PFS for black and white women were 9.7 and 14.6months, respectively (p=0.033). The median overall survival was 21.7months for black women and 42.6months for white women (p<0.001). On multivariate analysis, black race independently correlated with a worse overall survival (HR 1.61, 95% CI 1.06-2.43). CONCLUSION: In this cohort, racial disparities may be due to higher medical comorbidities and lower rates of optimal surgical cytoreduction. After accounting for these differences, race remained an independent predictor of worse overall survival.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。