Determinants of head and neck cancer survival by race.
BACKGROUND
Several factors contribute to the documented racial disparity in head and neck cancer, among which are socioeconomic status, access to care, and biologic factors.


METHODS
Clinical characteristics of 87 African-American patients with head and neck cancer and a random sample of 261 white patients matched on age and smoking dose were associated with outcome.


RESULTS
Black patients with cancers of the oral cavity and larynx were more likely diagnosed with advanced stages than whites, after adjusting for socioeconomic and insurance status and other confounding factors. There was a significant difference in relapse-free survival between blacks and whites with tumors of the larynx (hazard ratio [HR] = 3.36, 95% confidence interval [CI]: 1.62-7.00), but not with tumors of the oral cavity or pharynx.


CONCLUSIONS
Differences in disease outcome may be attributed to a combination of tumor stage, socioeconomic status, and access to health care. The inclusion of biologic markers such as human papillomavirus (HPV) status is needed in future studies to further evaluate racial disparities in head and neck cancer outcomes.
Ragin
Camille C
CC
Department of Epidemiology and Biostatistics, State University of New York Downstate Medical Center, Brooklyn, New York, USA. camilleragin@gmail.com
Langevin
Scott M
SM
Marzouk
Mark
M
Grandis
Jennifer
J
Taioli
Emanuela
E
D001741:Black or African American / Q000706:statistics & numerical data*; D000367:Age Factors; D002294:Carcinoma, Squamous Cell / Q000208:ethnology* / Q000401:mortality* / Q000473:pathology / Q000628:therapy; D002423:Cause of Death; D015331:Cohort Studies; D003131:Combined Modality Therapy; D016001:Confidence Intervals; D018572:Disease-Free Survival; D005260:Female; D006258:Head and Neck Neoplasms / Q000208:ethnology* / Q000401:mortality* / Q000473:pathology / Q000628:therapy; D054625:Healthcare Disparities / Q000706:statistics & numerical data; D006801:Humans; D053208:Kaplan-Meier Estimate; D016015:Logistic Models; D008297:Male; D015999:Multivariate Analysis; D009361:Neoplasm Invasiveness / Q000473:pathology; D009367:Neoplasm Staging; D016017:Odds Ratio; D011379:Prognosis; D012189:Retrospective Studies; D018570:Risk Assessment; D012737:Sex Factors; D012959:Socioeconomic Factors; D016019:Survival Analysis; D044465:White People / Q000706:statistics & numerical data*