M. Liu1, M. Miller1, J. Bhattacharya1, C. Kin1, A. Morris1 1Stanford University,School Of Medicine,Palo Alto, CA, USA
Introduction:
Colorectal cancer is the 3rd leading cause of cancer mortality in the United States. Black patients with colorectal cancer have higher rates of overall and disease-specific mortality than white patients. Surgical intervention can be curative for colorectal cancer if patients have access to and receive the care. Our goal was to compare the rates of surgical intervention among black and white patients. We hypothesized that black colorectal cancer patients undergo less surgical intervention compared to white patients.
Methods:
The National Cancer Institute’s Surveillance, Epidemiology and End Results (SEER) Registry was used to identify patients over age 18 years diagnosed with incident Stage I-IV from 2000-2015. We performed logistic regressions to determine surgical intervention among black and white patients stratified by stage, adjusting for sex, age, and insurance status. STATA was the statistical software used. Significance was set at a p value less than 0.05.
Results:
A total of 297,555 patients met inclusion criteria. In a logistic regression analysis, black patients had a significantly decreased odds of undergoing surgical intervention compared to white patients [unadjusted OR 0.76 (95% CI 0 .74 – 0 .78) p< 0.0001] and [adjusted OR 0.83 (95% CI 0 .79- 0.86) p<0.0001]. When stratified by stage, black patients were significantly less likely than white patients to undergo surgical intervention at Stage I [adjusted OR 0.74 (95% CI 0.66 – 0 .83) p<0.05] and Stage II [unadjusted OR 0.88 (95% CI 0.78 -0 .998) p<0.05], although not statistically significant when adjusted [OR 0.94 (95% CI 0.81-1.08) p > 0.05]. There was no significant difference in surgical intervention between white and black patients diagnosed with advanced Stages III-IV.
Conclusion:
We found that black patients with curable early-stage colorectal cancer had nearly 17% decreased odds of undergoing surgical intervention compared to white patients. Although our data does not permit us to identify an underlying mechanism for this disparity, further work with an enriched dataset could help to determine the relative contribution of hospital, provider, and patient-level factors.