ArticleJournal of thoracic disease2023
Association between length of stay and postoperative survival in patients with lung cancer: a propensity score matching analysis based on National Cancer Database.
Article in Journal of thoracic disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Hemiarthroplasty as management for solitary metastasis of the proximal humerus: a retrospective study.Annals of medicine · 2026Article
- Construction of a predictive model for prolonged length of stay in patients undergoing non-intubated thoracoscopic resection of lung cancer.Journal of thoracic disease · 2026Article
- Machine Learning Prediction of Prolonged Length of Stay in Older Patients with Lung Cancer: A Multicenter Study Using XGBoost with SHAP Interpretation.Cancer management and research · 2026Article
- Development and comparison of machine-learning models for predicting prolonged postoperative length of stay in lung cancer patients following video-assisted thoracoscopic surgery.Asia-Pacific journal of oncology nursing · 2024Article
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9 authors.
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Abstract
Background: Postoperative complications tend to result in prolonged hospitalization. The aim of this study was to investigate whether prolonged postoperative length of stay (LOS) can predict patient survival, particularly long-term survival. Methods: All patients undergoing lung cancer surgery between 2004 and 2015 were identified in the National Cancer Database (NCDB). The highest quintile of LOS (more than 8 days) was defined as prolonged length of stay (PLOS). We performed 1:1 propensity score matching (PSM) between the groups with and without PLOS (Non-PLOS). Excluding confounding factors, postoperative LOS was used as a surrogate for postoperative complications. Kaplan-Meier and Cox proportional hazards survival analyses were performed to analyze survival. Results: A total of 88,007 patients were identified. After matching, 18,585 patients were enrolled in the PLOS and Non-PLOS groups, respectively. Before and after matching, 30-day rehospitalization rate and 90-day mortality in the PLOS group were significantly higher than they were in the Non-PLOS group (P<0.001), indicating a potential worse short-term postoperative survival. After matching, the median survival of the PLOS group was significantly lower than that of the Non-PLOS group (53.2 Conclusions: Postoperative LOS could be taken as the quantitative indicator of postoperative complications of lung cancer in NCDB. In this study, PLOS predicted worse short-term and long-term survival independent of other factors. Avoiding PLOS could be considered to benefit patient survival after lung cancer surgery.
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