Abstract
To identify predictors of overall survival (OS) and to stratify patients according to significant prognostic variables. A retrospective study of 274 consecutive patients with primary Oral Cavity Squamous Cell Carcinoma. Kaplan-Meier, Cox proportional hazard models, and recursive partitioning analysis (RPA) were used for analysis of OS. These results were further validated using National Cancer Database cohort of 21 895 patients. Median OS was 3.65 years. T-classification and N-classification, alcoholic beverages/week, age, and adjuvant treatment were significant predictors of OS. RPA identified high-risk subpopulations: N0-1 patients with CCI ≥ 4.5 and N2-3 patients ordered by those not receiving adjuvant treatment, those with T3-4 disease despite adjuvant therapy, and those having T1-2 disease with adjuvant therapy. This study utilized significant prognostic indicators and RPA to highlight the importance of age, N-classification, T-classification, comorbidity, and adjuvant therapy in conjunction with American Joint Committee on Cancer staging to improve preoperative counseling.
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