Clinical Prediction Nomograms to Assess Overall Survival and Disease-Specific Survival of Patients with Salivary Gland Adenoid Cystic Carcinoma

<div>Used LASSO COX regression model to filter predictor variables for OS and DSS. (a) Selection of lambda.1se identified 6 variables for OS in LASSO Cox analysis. (b) LASSO coefficient profiles of 13 variables for OS. (c) Selection of lambda.1se identified 5 variables for DSS in LASSO Cox analysis. (d) LASSO coefficient profiles of 13 variables for DSS. Notes—1: age, 2: gender, 3: primary site of tumor, 4: histologic grade, 5: T stage, 6: N stage, 7: M stage, 8: race, 9: marital status, 10: surgery, 11: radiation, 12: chemotherapy, and 13: neck dissection.</div>

BioMed Research International

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Figure 2

Figure 2: Clinical Prediction Nomograms to Assess Overall Survival and Disease-Specific Survival of Patients with Salivary Gland Adenoid Cystic Carcinoma 

Figure 2 | Clinical Prediction Nomograms to Assess Overall Survival and Disease-Specific Survival of Patients with Salivary Gland Adenoid Cystic Carcinoma 