ArticleTranslational lung cancer research2023
Seven preoperative factors have strong predictive value for postoperative pneumonia in patients undergoing thoracoscopic lung cancer surgery.
Article in Translational lung cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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13 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Risk factors for pneumonia after radical gastrectomy for gastric cancer: a systematic review and meta-analysis.BMC cancer · 2025Pooled it
- Diabetes mellitus is associated with short-term postoperative outcomes in patients undergoing vats lobectomy for lung cancer: a 7-year retrospective analysis.Journal of thoracic disease · 2026Article
- Prediction of peak oxygen uptake using interpretable machine learning on routinely available preoperative assessments before lung resection.Translational lung cancer research · 2026Article
- Clinical predictors and mortality of postoperative pneumonia following pulmonary resection in patients with lung cancer: A systematic review and meta-analysis.Lung India : official organ of Indian Chest Society · 2026Article
- Predictors of Postoperative Pneumonia Following Anatomical Lung Resections in Thoracic Surgery.Journal of clinical medicine · 2025Article
- Risk factors for postoperative pneumonia following thoracoscopic lobectomy: a retrospective study with a focus on preoperative fasting duration.BMC anesthesiology · 2025Article
- Factors associated with the development of postoperative pneumonia in lung cancer surgery patients with perioperative oral management.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Development and internal validation of a preoperative prediction model for postoperative pneumonia in lung cancer patients: a retrospective study.BMC surgery · 2025Article
- Observational
- Impact of preoperative inflammatory biomarkers on postoperative pneumonia and one-month pulmonary imaging changes after surgery for non-small cell lung cancer.Frontiers in oncology · 2025Article
- The (un)lucky seven-how can we mitigate risk factors for postoperative pneumonia after lung resections?Translational lung cancer research · 2024Article
- Risk factors for postoperative pulmonary infections in non-small cell lung cancer: a regression-based nomogram prediction model.American journal of cancer research · 2024Article
- A novel nomogram for predicting postoperative pneumonia risk in patients with localized bronchiectasis.Therapeutic advances in respiratory diseaseArticle
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10 authors at 5 institutions in 4 countries.
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No grant is acknowledged in the PubMed record.
Abstract
Background: Postoperative pneumonia (POP) is a hospital acquired pneumonia that occurs >48 hours after tracheal intubation. The diagnosis of POP should be based on clinical and radiological findings within 30 days after surgery. It is a common complication after thoracoscopic surgery for lung cancer patients. However, the specific impact of preoperative comorbidities on the incidence of POP remains unclear. This study aimed to analyze the preoperative data of patients with lung cancer to help surgeons predict the risk of incidence of POP after thoracoscopic lung resection. Methods: This study is a prospective study that included patients with lung cancer who were scheduled for thoracoscopic surgery in 1 year. All cases came from two medical centers. Preoperative demographic information, tumor information, preoperative comorbidities, quality of life scores, and incidence of POP were collected. Variables were screened by univariate analysis and multivariate regression. Finally, a prediction model was constructed. A total of 53 preoperative factors were included as candidate predictors. The binary outcome variable was defined as the presence or absence of POP. The incidence of POP was the primary outcome variable. The predictive performance of the model was verified internally through 1,000 iterations of bootstrap resampling. Results: A total of 1,229 patients with lung cancer who underwent thoracoscopic surgery were enrolled. In addition, 196 cases (15.95%) had POP; 1,025 (83.40%) patients had comorbid conditions. The total number of comorbidity diagnosed in all samples was 2,929. The prediction model suggested that patients with advanced age, high body mass index (BMI), smoking, poor physical condition, respiratory diseases, diabetes, and neurological diseases were more likely to develop POP. The area under the curve (AUC) and Brier scores were 0.851 and 0.091, respectively. The expected and observed results were in strong agreement, according to the likelihood of POP calibration curve. Conclusions: The constructed model is capable of evaluating the probability of POP occurrence in patients with lung cancer. Seven preoperative factors in patients with lung cancer were found to be associated with increased probability of having pneumonia after thoracoscopic lung resection. This model can help predict the incidence of POP after surgery.
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