This cohort study describes a model using machine learning to help predict 5-year overall survival among patients with oral squamous cell carcinoma (OSCC) and compares this model with a prediction model created from the TNM (Tumor, Node, Metastasis) clinical and pathologic stage.
This study uses Veterans Affairs Corporate Data Warehouse data to examine whether there is an association between prior hematologic malignant tumor and risk of head and neck cancer and assesses the overall survival among these patients.
This cohort study evaluates the association of the addition of adult patients’ functional performance to other important preoperative clinical characteristics with 30-day and 90-day hospital readmissions and overall survival after surgical treatment of head and neck cancer.
This case series study analyzes intraoperative facial nerve monitoring data from adult patients who had a parotidectomy operation and identifies the monitoring parameters associated with postoperative nerve weakness.
This retrospective cohort study assesses the performance of the traditional pathologic risk stratification system for surgically resected human papillomavirus–associated oropharyngeal squamous cell carcinoma and proposes an alternate composite risk stratification system.
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