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

Figure 2

(a) The Huang OS model (a web-based OS nomogram) for predicting 3- and 5-year OS 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 OS. The nomogram is available at https://zhongqing.shinyapps.io/HuangOSmodel/. 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) curves for the 3- and 5-year overall survival probability for the web-based nomogram and the 3 studied staging systems. (d) Decision curve analysis (DCA) for the 3-year OS and 5-year OS 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.

(a)

(b)

(c)

(d)

(e)

(f)