Development and External Validation of Web-Based Models to Predict the Prognosis of Remnant Gastric Cancer after Surgery: A Multicenter Study

Figure 3

(a) The Huang DSS model (a web-based DSS nomogram) for predicting 3- and 5-year DSS rates for RGC. The nomogram is used by summing the points identified on the point scale for each variable. The total points projected on the bottom scales indicate the probability of 3- and 5-year DSS. The nomogram is available at https://zhongqing.shinyapps.io/HuangDSSmodel/. To use this nomogram, choose the value for each variable and the predicted survival time; then press the “predict” button. (b) A calibration plot of the web-based nomogram for 3 years and 5 years. (c) The receiver operating characteristic (ROC) curve for the 3- and 5-year disease-specific survival probability for the web-based nomogram and the 3 studied staging systems. (d) DCA for 3-year DSS and 5-year DSS after surgery. The y-axis measures the net benefit. (e) Time-dependent ROC curves for the web-based nomogram and the 3 studied staging systems. The x-axis represents the year after surgery, and the y-axis represents the estimated area under the ROC curve for survival at the time of interest. (f) The results from a bootstrap analysis (1,000 samples): mean differences in Bayesian information criteria (BIC) with 95% confidence limits, including the web-based nomogram and the 3 studied staging systems.

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