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Cancer Epidemiol. Biomarkers Prev. · Jan 2020
Racial Differences in Treatment and Survival among Veterans and Non-Veterans with Stage I NSCLC: An Evaluation of Veterans Affairs and SEER-Medicare Populations.
- Christina D Williams, Naomi Alpert, Thomas S Redding, A Jasmine Bullard, Raja M Flores, Michael J Kelley, and Emanuela Taioli.
- Cooperative Studies Program Epidemiology Center-Durham, Durham Veterans Affairs Health Care System, Durham, North Carolina. Christina.Williams4@va.gov.
- Cancer Epidemiol. Biomarkers Prev. 2020 Jan 1; 29 (1): 112-118.
BackgroundSurgery is the preferred treatment for stage I non-small cell lung cancer (NSCLC), with radiation reserved for those not receiving surgery. Previous studies have shown lower rates of surgery among Blacks with stage I NSCLC than among Whites.MethodsBlack and White men ages ≥65 years with stage I NSCLC diagnosed between 2001 and 2009 were identified in the Surveillance, Epidemiology, and End Results (SEER)-Medicare database and Veterans Affairs (VA) cancer registry. Logistic regression and Cox proportional hazards models were used to examine associations between race, treatment, and survival.ResultsAmong the patients in the VA (n = 7,895) and SEER (n = 8,744), the proportion of Blacks was 13% and 7%, respectively. Overall, 16.2% of SEER patients (15.4% of Whites, 26.0% of Blacks) and 24.5% of VA patients received no treatment (23.4% of Whites, 31.4% of Blacks). In both cohorts, Blacks were less likely to receive any treatment compared with Whites [ORadj = 0.57; 95% confidence interval (CI), 0.47-0.69 for SEER-Medicare; ORadj = 0.68; 95% CI, 0.58-0.79 for VA]. Among treated patients, Blacks were less likely than Whites to receive surgery only (ORadj = 0.57; 95% CI, 0.47-0.70 for SEER-Medicare; ORadj = 0.73; 95% CI, 0.62-0.86 for VA), but more likely to receive chemotherapy only and radiation only. There were no racial differences in survival.ConclusionsAmong VA and SEER-Medicare patients, Blacks were less likely to get surgical treatment. Blacks and Whites had similar survival outcomes when accounting for treatment.ImpactThis supports the hypothesis that equal treatment correlates with equal outcomes and emphasizes the need to understand multilevel predictors of lung cancer treatment disparities.©2019 American Association for Cancer Research.
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