Construction and validation of nomogram for predicting OS
NSCLC, tumor
NON-SMALL CELL LUNG CANCER, TUMOR, PRIMARY TUMOR, NSCLC, REGRESSION
Based on the results of the multivariate Cox regression model, a nomogram was constructed using independent factors including age, sex, primary tumor size, tumor grade, N status, number of regional lymph nodes removed, and chemotherapy. The nomogram can predict the 1-year, 3-year, and 5-year OS rates by summing the points of each variable (Fig. Nomogram for predicting OS of NSCLC patients with IPM. OS, overall survival; NSCLC, non-small cell lung cancer; IPM, ipsilateral pulmonary metastasisThe C-index for OS prediction was 0.714 (95% CI, 0.692 to 0.773) in the training cohort and 0.695 (95% CI, 0.660 to 0.730) in the validation cohort, indicating good discrimination ability. The calibration plots for the probability of survival at 1, 3, and 5 years showed good agreement between nomogram-predicted OS and actual observation (Fig. The calibration curve to evaluate the accuracy of the nomogram at 1, 3 and 5 years, respectively. The ROC analysis assessed the accuracy of the nomogram, and the AUCs for predicting 1-year, 3-year, and 5-year OS rates in the training cohort were 0.755 (95% CI, 0.724 to 0.786), 0.756 (95% CI, 0.730 to 0.783), and 0.740 (95% CI, 0.710 to 0.770), respectively. In the validation cohort, the AUCs for predicting 1-year, 3-year, and 5-year OS rates were 0.709 (95% CI, 0.657 to 0.761), 0.723 (95% CI, 0.682 to 0.764), and 0.725 (95% CI, 0.676 to 0.774), respectively (Fig. The AUC values for the prediction of 1, 3, 5-year OS of NSCLC patients with IPM. The DCA demonstrated that the nomogram had a significant clinical value in both the training and validation cohorts. The area under the DCA curve for predicting 1-year, 3-year, and 5-year OS rates in the training cohort was 0.017, 0.078, and 0.142, respectively. In the validation cohort, the area under the DCA curve was 0.017, 0.084, and 0.148 (Fig. The DCA curve analysis to evaluate the clinical application ability of the nomogram at 1, 3 and 5 years, respectively. Based on the nomogram score for each patient, we classified patients into low-risk (≤ 96) and high-risk (> 96) groups. The Kaplan–Meier survival curves and log-rank tests showed that the high-risk group had a significantly lower survival rate than the low-risk group in both the training and validation sets (Kaplan–Meier curves of overall survival stratified by risk groups in the 