Undertreatment of women with locoregionally advanced head and neck cancer

Abstract

BACKGROUND: It is difficult to predict whether a patient with head and neck cancer (HNC) is more likely to die of the cancer or another comorbidity. Competing event models can help to identify individual patients or groups of patients who may be undertreated or overtreated in clinical practice. METHODS: Patients with HNC (n = 884), aged 18 to 85 years and diagnosed from 2000 to 2015 with stage II to IVB disease according to the seventh edition of the American Joint Committee on Cancer system, were identified. With a generalized competing event (GCE) model that controlled for age, sex, tumor site, surgical treatment, and Charlson Comorbidity Index (CCI), the association between these factors and the relative hazard for cancer mortality was determined. Logistic regression models were used to estimate the odds of receiving platinum-based chemoradiotherapy or a less intensive therapy, with adjustments made for age, sex, tumor site, CCI, stage, smoking, and alcohol abuse history. RESULTS: ratio, 1.95; 95% CI, 1.09-3.49), even though they were less likely to receive intensive chemoradiotherapy than men (adjusted odds ratio, 0.69; 95% CI, 0.48-0.99). CONCLUSIONS: These findings indicate that women in this cohort may be undertreated in clinical practice and potentially miss the opportunity for their HNC to be aggressively treated. This study supports the use of GCE models to identify patients who are potentially undertreated and may also help to guide future research in health disparities.