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OBJECTIVE: To identify predictors of overall survival (OS) and to stratify patients according to significant prognostic variables. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
Patel et al. (Wed,) studied this question.
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