Background: Prognostic factors in a pneumonectomy (PN) are not yet fully defined. This study sought to analyze and evaluate long-term survival after pneumonectomies (PNs) for patients with non-small cell lung cancer (NSCLC).
Methods: We obtained data from the Surveillance, Epidemiology, and End Results (SEER) database for patients who underwent PNs between 2004 and 2015. Propensity score matching (PSM) analysis and Kaplan-Meier curves were used to estimate overall survival (OS), while univariate and multivariable Cox proportional hazards regression analyses were applied to create a forest plot.
Results: In total, 1,376 patients were grouped according to right/left PNs. Before matching, OS was worse after a right PN [hazard ratio (HR): 1.459; 95% CI 1.254-1.697; P < 0.001] and after matching, survival differences between groups were not significant (HR: 1.060; 95% CI 0.906-1.240; P = 0.465). Regression analysis revealed that age, gender, grade, lymph node dissection, N-stage, and chemotherapy were independent predictors of OS (P < 0.05). Chemotherapy was associated with improved OS (P < 0.001).
Conclusions: Laterality was not a significant prognostic factor for long-term survival after a PN for NSCLC. Chemotherapy was a significant independent predictor of improved OS. Long-term survival and outcomes analyses should be conducted on larger numbers of patients.
Keywords: SEER database; forest plot; non-small cell lung cancer; pneumonectomy; propensity score matching.
© 2022 Wang, Ge, Zhang, Wang, Liu and Ren.