ArticleJournal of thoracic disease2024
Risk factor analysis and nomogram prediction model construction of postoperative complications of thoracoscopic non-small cell lung cancer.
Article in Journal of thoracic disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Prediction models for prolonged air leak after pulmonary surgery: a systematic review and critical appraisal.Frontiers in oncology · 2026Pooled it
- Progress and current trends in prediction models for the occurrence and prognosis of cancer and cancer-related complications: a bibliometric and visualization analysis.Frontiers in oncology · 2025Pooled it
- An innovative "Grading System for Lung Adhesions" - The Indian Way.Lung India : official organ of Indian Chest Society · 2026Article
- Prediction of postoperative pulmonary infection after video-assisted thoracoscopic anatomical pulmonary resection using an interpretable machine learning model.Journal of thoracic disease · 2026Article
- Construction of a nomogram model for postoperative complications following thoracoscopic lung cancer surgery in elderly patients: a study based on an elderly patient population.BMC geriatrics · 2026Article
- Construction of risk factors and nomogram model related to thoracoscopic postoperative complications of stage I non-small cell lung cancer.BMC surgery · 2026Article
- ICG combined with medical adhesive in preoperative localization of complex pulmonary nodules: a retrospective study.BMC medical imaging · 2026Article
- Intraoperative hypothermia risk trajectories in patients undergoing video-assisted thoracoscopic surgery: a retrospective study.Frontiers in medicine · 2026Article
- Risk Factors Analysis and Nomogram Prediction Model Construction for Pulmonary Infection After Laparoscopic Cholecystectomy.Infection and drug resistance · 2026Article
- The predictive significance of inflammatory parameters for postoperative complications in patients undergoing videothoracoscopic pulmonary resection for lung cancer.Updates in surgery · 2025Article
- Risk of conversion and severe postoperative complications in older patients with non-small cell lung cancer and a history of COVID-19: a population-based study.Translational lung cancer research · 2025Article
- Development and validation of an explainable machine learning model for predicting postoperative pulmonary complications after lung cancer surgery: a machine learning study.EClinicalMedicine · 2025Article
- Risk factors for pulmonary infection after thoracoscopic radical resection of lung cancer in elderly patients with diabetes mellitus.World journal of diabetes · 2025Article
- Incidence, risk factors, and predictive modeling of pulmonary infection after high-risk surgery for lung cancer: a retrospective case-control study.Journal of thoracic disease · 2025Article
- Prediction model for postoperative pulmonary complications after thoracoscopic surgery with machine learning algorithms and SHapley Additive exPlanations.Journal of thoracic disease · 2025Article
- Nomogram Model for Prognosis of Distant Metastatic DTC Based on Inflammatory and Clinicopathological Factors.Journal of the Endocrine Society · 2025Article
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Abstract
Background: A series of complications will inevitably occur after thoracoscopic pulmonary resection. How to avoid or reduce postoperative complications is an important research area in the perioperative treatment of thoracic surgery. This study analyzed the risk factors for thoracoscopic postoperative complications of non-small cell lung cancer (NSCLC) and established a nomogram prediction model in order to provide help for clinical decision-making. Methods: Patients with NSCLC who underwent thoracoscopic surgery from January 2017 to December 2021 were selected as study subjects. The relationship between patient characteristics, surgical factors, and postoperative complications was collected and analyzed. Based on the results of the statistical regression analysis, a nomogram model was constructed, and the predictive performance of the nomogram model was evaluated. Results: A total of 872 patients who met the study criteria were included in the study. A total of 171 patients had complications after thoracoscopic surgery, accounting for 19.6% of the study population. Logistic regression analysis showed that thoracic adhesion, history of respiratory disease, and lymphocyte-monocyte ratio (LMR) were independent risk factors for complications after thoracoscopic surgery (P<0.05). Variables with P<0.1 in logistic regression analysis were included in the nomogram model. The verification results showed that the area under curve (AUC) of the model was 0.734 [95% confidence interval (CI): 0.693-0.775], and the calibration curve showed that the model had good differentiation. The decision curve analysis (DCA) curve showed that this model has good clinical application value. In subgroup analysis of complications, gender, history of respiratory disease, body mass index (BMI), type of surgical procedure, thoracic adhesion, and Time of operation were identified as significant risk factors for prolonged air leak (PAL) after surgery. Tumor location and forced expiratory volume in the first second (FEV Conclusions: This study analyzed the risk factors affecting the postoperative complications of NSCLC through thoracoscopic surgery, and the nomogram model built based on the influencing factors has certain significance for the identification and reduction of postoperative complications.
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