Nomogram model establishment and validation
lung cancer, pneumonitis, NSCLC
LUNG CANCER, PNEUMONITIS, NSCLC
By using ROC curves to determine the optimal thresholds for these factors, we identified that the age (>61 years), history of radiotherapy, ECOG PS score of 2, higher baseline WBC (>7.1 × 10Nomogram model for predicting the occurrence of checkpoint inhibitor‐related pneumonitis (CIP) in advanced non‐small‐cell lung cancer (NSCLC) patients receiving immune checkpoint inhibitors (ICIs) treatment.The C‐index and the area under the ROC curve (AUC) were both 0.787 (95% CI: 0.716–0.857) and 0.874 (95% CI: 0.792–0.957) in the training set and testing set, respectively, indicating that the model has a better degree of discrimination (Figure Evaluation curves of the nomogram model. (A) receiver operating characteristic (ROC) curve of training set; (B) ROC curve of testing set.Evaluation curves of the nomogram model. (A) Calibration curve in training set; (B) calibration curves in testing set.Decision curve analysis curves for the nomogram model in training set.Decision curve analysis curves for the nomogram model in testing set.