Social determinants as predictors of resection and long-term mortality in Black patients with non-small cell lung cancer.

ABSTRACT

BACKGROUND: Minorities diminished returns theory posits that socioeconomic attainment conveys fewer health benefits for Black than White individuals. The current study evaluates the effects of social constructs on resection rates and survival for non-small cell lung cancer (NSCLC). METHODS: Patients with potentially resectable NSCLC stage IA to IIIA were identified using the 2004 to 2017 National Cancer Database. Patients were stratified into quartiles based on population-level education and income. Logistic regression was used to predict risk-adjusted resection rates. Mortality was assessed with Cox proportional hazard modeling. RESULTS: Of the 416,025 patients identified, 213,643 (51.4%) underwent resection. Among White patients, the lowest income (adjusted odds ratio 0.76, 95% confidence interval 0.74-0.78, P < .01) and education quartiles (adjusted odds ratio 0.82, 95% confidence interval 0.79-0.84, P < .01) were associated with decreased odds of resection. The lowest education quartile among Black patients was not associated with lower resection rates. The lowest income quartile (adjusted odds ratio 0.67, 95% CI 0.61-0.74, P < .01) was associated with reduced resection. White patients in the lowest education and income quartiles experienced increased hazard of 5-year mortality (adjusted hazard ratio 1.13, 95% CI 1.11-1.15, P < .01 and adjusted hazard ratio 1.08, 95% CI 1.06-1.11, P < .01 respectively). In Black patients, there were no significant differences in 5-year survival between Black patients in the highest education and income quartiles and those in the lowest quartiles. CONCLUSION: Among Black patients with NSCLC, educational attainment is not associated with increased resection rates. In addition, higher education and income were not associated with improved 5-year survival. The diminished gains experienced by Black patients, compared to Whites patients, illustrate the presence of pervasive race-specific mechanisms in observed inequalities in cancer outcomes.