ArticleTranslational lung cancer research2021
Development of a nomogram for predicting the operative mortality of patients who underwent pneumonectomy for lung cancer: a population-based analysis.
Article in Translational lung cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 17 citations in OpenAlex.
- Development and Validation of a Prognostic Model to Predict Overall Survival for Lung Adenocarcinoma: A Population-Based Study From the SEER Database and the Chinese Multicenter Lung Cancer Database.Technology in cancer research & treatmentTrial
- Development and validation of a nomogram for predicting overall and cancer-specific survival in elderly patients (≥ 65 years) with epithelial ovarian cancer.European journal of medical research · 2025Article
- Risk Factor Analysis Including Inflammatory Markers for ICU Admission and Survival After Pneumonectomy.Medicina (Kaunas, Lithuania) · 2024Article
- Predicting complication risks after sleeve lobectomy for non-small cell lung cancer.Translational lung cancer research · 2024Article
- Conditional survival of elderly primary central nervous system lymphoma.Journal of cancer research and clinical oncology · 2023Article
- Establishment and validation of a long-term prognosis prediction model for patients with non-small cell lung cancer.Journal of thoracic disease · 2023Article
- Clinical characteristics and prostate-cancer-specific mortality of competitive risk nomogram in the second primary prostate cancer.Frontiers in oncology · 2023Article
- Article
- ncRNAs-mediated high expression of TICRR promotes tumor cell proliferation and migration and is correlated with poor prognosis and tumor immune infiltration of hepatocellular carcinoma.Molecular therapy. Nucleic acids · 2022Article
- Effects of Neoadjuvant Radiotherapy on Survival in Patients with Stage IIIA-N2 Non-Small-Cell Lung Cancer Following Pneumonectomy.Journal of clinical medicine · 2022Article
- Triage by PAX1 and ZNF582 Methylation in Women With Cervical Intraepithelial Neoplasia Grade 3: A Multicenter Case-Control Study.Open forum infectious diseases · 2022Article
- A validated nomogram integrating baseline peripheral T-lymphocyte subsets and NK cells for predicting survival in stage I-IIIA non-small cell lung cancer after resection.Annals of translational medicine · 2022Article
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13 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundAlthough many studies have reported that patients have undergone entire lung removal for lung cancer along with high operative mortality, the trends in the incidence and associated risk factors for operative death have not been explored in a national population-based study. In addition, a clinical decision-making nomogram for predicting postpneumonectomy mortality remains lacking.
methodsA total of 10,337 patients diagnosed with lung cancer who underwent pneumonectomy between 1998 and 2016 were retrieved from the Surveillance, Epidemiology, and End Results (SEER) cancer registry. Multivariate logistic regression analysis was used to identify risk factors for predicting operative mortality. Thereafter, these independent predictors were integrated into a nomogram, and bootstrap validation was applied to assess the discrimination and calibration. Additionally, decision curve analysis (DCA) was used to calculate the net benefit of this forecast model.
resultsThe overall postpneumonectomy mortality between 1998 and 2016 was 10.3%, including a 30-day mortality of 4.2%; however, there were statistically significant decreases in the operative death rates from 8.8% in 1998 to 6.7% in 2016 (P=0.009). Higher operative mortality was associated with advanced patients (P<0.001), male sex (P<0.001), right-sided pneumonectomy (P<0.001), squamous cell carcinoma (SCC) (P=0.008), number of positive lymph nodes (npLNs) 5 or greater (P=0.010), and distant metastasis (P<0.001). However, induction radiotherapy (RT) was a protective factor (P<0.001). The nomogram integrating all of the above independent predictors was well calibrated and had a relatively good discriminative ability, with a C-statistic of 0.687 and an area under the receiver operating characteristic (ROC) curve (AUC) of 0.682; moreover, DCA demonstrated that our model was clinically useful.
conclusionsIf pneumonectomy was considered inevitable, clinical decision-making based on this simple but efficient predictive nomogram could help minimize the risk of operative death and maximize the survival benefit.
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