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Background:  In this study, we aim to establish a nomogram to predict the prognosis of non-small cell lung cancer (NSCLC) patients with stage I-IIIB disease after pneumonectomy.   Methods:  Patients selected from the Surveillance, Epidemiology, and End Results (SEER,  N  = 2,373) database were divided into two cohorts, namely a training cohort (SEER-T,  N  = 1,196) and an internal validation cohort (SEER-V,  N  = 1,177). Two cohorts were dichotomized into low- and high-risk subgroups by the optimal risk prognostic score (PS). The model was validated by indices of concordance (C-index) and calibration plots. Kaplan-Meier analysis and the log-rank tests were used to compare survival curves between the groups. The primary observational endpoint was cancer-specific survival (CSS).   Results:  The nomogram comprised six factors as independent prognostic indictors; it significantly distinguished between low- and high-risk groups (all  P  < 0.05). The unadjusted 5-year CSS rates of high-risk and low-risk groups were 33 and 60% (SEER-T), 34 and 55% (SEER-V), respectively; the C-index of this nomogram in predicting CSS was higher than that in the 8th TNM staging system (SEER-T, 0.629 vs. 0.584,  P  < 0.001; SEER-V, 0.609 vs. 0.576,  P  < 0.001). In addition, the PS might be a significant negative indictor on CSS of patients with white patients [unadjusted hazard ration (HR) 1.008,  P  < 0.001], black patients (unadjusted HR 1.007,  P  < 0.001), and Asian or Pacific Islander (unadjusted HR 1.008,  P  = 0.008). In cases with squamous cell carcinoma (unadjusted HR 1.008,  P  < 0.001) or adenocarcinoma (unadjusted HR 1.008,  P  < 0.001), PS also might be a significant risk factor.   Conclusions:  For post-pneumonectomy NSCLC patients, the nomogram may predict their survival with acceptable accuracy and further distinguish high-risk patients from low-risk patients.

A Nomogram to Predict Long-Term Survival Outcomes of Patients Who Undergo Pneumonectomy for Non-small Cell Lung Cancer With Stage I-IIIB