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. 2017 Oct 9;8(17):3623–3630. doi: 10.7150/jca.19438

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ROC curve and nomogram for predicting prognosis in patients with gastric cancer. (a) ROC curve analysis of the sensitivity and specificity for the predictive value of the TNM model, the tetranectin model, and the combined TNM and tetranectin stratification model. (b) Predictive nomogram for 3-year and 5-year overall survival was generated by combining proven independent prognostic factors including Lauren classification, T stage, N stage, M stage and tetranectin expression. (c) Calibration plot for nomogram predicting observed 5-year survival rate. Gray Line: ideal model; vertical bars, 95% confident interval. (d) Kaplan-Meier curves of overall survival based on risk score calculated by nomogram. P-value was assessed by log-rank test.