Nomogram model predicting the overall survival for patients with primary gastric mucosa-associated lymphoid tissue lymphoma

Figure 1 Identify the correlated prognostic factors by least absolute shrinkage and selection operator regression. A: Least absolute shrinkage and selection operator coefficient profiles of the 8 primary gastric mucosa-associated lymphoid tissue lymphoma-associated variables; B: The selection of optimal prognostic factors by cross-validation. GML: Gastric mucosa-associated lymphoid tissue lymphoma.

Figure 2 Survival nomogram for primary gastric mucosa-associated lymphoid tissue lymphoma in 3- and 5-year overall survival.

Figure 3 Patients in the training set were separated into high- and low-risk groups. A: The Cox regression risk score (cutoff point: 0.28); B: Scatter plot showing that patient survival time was sorted by risk score; high-risk patients had shorter survival times and higher mortality rates.

Figure 4 Kaplan–Meier curves of overall survival for patients in the high- and low-risk groups. A-C: Analysis results of all patients (A), the training set (B), and the testing set (C). OS: Overall survival.

Figure 5 Subgroup analysis results of associations between independent factors and overall survival time between high- and low-risk patients in the training set. 95%CI: 95% confidence interval; HR: Hazard ratio.

Figure 6 Time-dependent receiver operating characteristic curves to assess the predictive power of the nomogram. A-D: Curves of 3- and 5-year overall survival in the training set (A and B) and in the validation set (C and D). td-ROC: Time-dependent receiver operating characteristic; OS: Overall survival; AUC: Areas under the curve.

Figure 7 The calibration plot. A-D: The calibration plot was applied to compare the agreement between actual and predicted probability of 3, 5 years overall survival in training (A and B) and testing set (C and D), respectively. OS: Overall survival.