Development and validation of a nomogram prediction model for overall survival in patients with rectal cancer

Figure 1 The process of variable selection via the least absolute shrinkage and selection operator Cox regression model. A: The plot of least absolute shrinkage and selection operator (LASSO) coefficients distribution for 23 risk factors; B: LASSO regression cross validation graph.

Figure 2 Nomogram model for predicting the 1-year, 3-year, and 5-year overall survival of rectal cancer patients in the training cohort. KPS: Karnofsky performance status; LDH: Lactic dehydrogenase; NLR: Neutrophil-to-lymphocyte ratio.

Figure 3 The receiver operating characteristic curves of the nomogram for 1-year, 3-year, and 5-year overall survival prediction. A: In the training cohort; B: In the validation cohort. AUC: Area under the curve.

Figure 4 Calibration curve and decision curve analysis curve of the model. A: Calibration curve for the training cohort; B: Calibration curve for the validation cohort; C: Decision curve analysis (DCA) curve for the training cohort; D: DCA curve for the validation cohort. OS: Overall survival.

Figure 5 Kaplan-Meier survival curves for rectal cancer patients after stratification by the nomogram. A: In the training cohort; B: In the validation cohort.