ArticleCancer management and research2018
Nomograms for predicting survival outcomes in patients with primary tracheal tumors: a large population-based analysis.
Article in Cancer management and research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed.
- Surgical outcome and perioperative management of tracheal resection and reconstruction for patients with a primary tracheal tumor.Surgery today · 2026Article
- Development and validation of a CT-based radiomics nomogram for predicting overall survival in primary tracheal malignancy.Frontiers in oncology · 2026Article
- Outcomes and prognostic insights in primary tracheal cancer: a multicenter retrospective study.Translational lung cancer research · 2025Article
- Development and Validation of Platelet-Index Based Colorectal Cancer Survival Prognostic Nomogram.Asian Pacific journal of cancer prevention : APJCP · 2025Article
- Primary malignant tumors of the trachea: a retrospective analysis of the clinical data of 79 patients treated in a single center.Frontiers in oncology · 2025Article
- Treatment outcomes of patients with primary tracheal tumors - analysis of a large retrospective series.BMC cancer · 2024Article
- Clinicopathological characteristics of patients with primary tracheal tumors: Analysis of eighty-nine cases.Thoracic cancer · 2024Review
- Tracheal Tumors: Clinical Practice Guidelines for Palliative Treatment and Follow-Up.Oncology reviews · 2024Review
- Do We Need TNM for Tracheal Cancers? Analysis of a Large Retrospective Series of Tracheal Tumors.Cancers · 2022Article
- Surgical treatment of primary tracheobronchial tumors: 16-year experience in a single center.Journal of thoracic disease · 2022Article
- Nomogram for the prediction of individualized overall survival of patients diagnosed with small cell esophageal carcinoma.Annals of translational medicine · 2021Article
- Nomogram to Predict the Overall Survival of Colorectal Cancer Patients: A Multicenter National Study.International journal of environmental research and public health · 2021Article
- Comprehensive analysis of prognostic value of lymph node classifications in esophageal squamous cell carcinoma: a large real-world multicenter study.Therapeutic advances in medical oncology · 2021Article
- Clinical features and prognosis of primary tracheal small cell carcinoma: a population-based analysis.Translational cancer research · 2020Article
- Development and validation of nomogram combining serum biomarker for predicting survival in patients with resected rectal cancer.Bioscience reports · 2019Article
- Survival analysis via nomogram of surgical patients with malignant pleural mesothelioma in the Surveillance, Epidemiology, and End Results database.Thoracic cancer · 2019Article
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8 authors.
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Abstract
backgroundThe aim of this study was to develop and validate reliable nomograms to predict individual overall survival (OS) and cancer-specific survival (CSS) for patients with primary tracheal tumors and further estimate the role of postoperative radiotherapy (PORT) for these entities. PATIENTS AND
methodsA total of 405 eligible patients diagnosed between 1988 and 2015 were selected from the Surveillance, Epidemiology, and End Results database. All of them were randomly divided into training (n=303) and validation (n=102) sets. For the purpose of establishing nomograms, the Akaike information criterion was employed to select significant prognostic factors in multivariate Cox regression models. Both internal and external validations of the nomograms were evaluated by Harrell's concordance index (C-index) and calibration plots. Propensity score matching (PSM) method was performed to reduce the influence of selection bias between the PORT group and the non-PORT group.
resultsTwo nomograms shared common variables including age at diagnosis, histology, N and M stages, tumor size, and treatment types, while gender was only incorporated in the CSS nomogram. The C-indices of OS and CSS nomograms were 0.817 and 0.813, displaying considerable predictive accuracy. The calibration curves indicated consistency between the nomograms and the actual observations. When the nomograms were applied to the validation set, the results remained reconcilable. Moreover, the nomograms showed superiority over the Bhattacharyya's staging system with regard to the C-indices. After PSM, PORT was not associated with significantly better OS or CSS. Only squamous cell carcinoma (SCC) patients in the PORT group had improved OS compared to non-PORT group.
conclusionThe first two nomograms for predicting survival in patients with primary tracheal tumors were proposed in the present study. PORT seems to improve the prognosis of SCC patients, which needs further exploration.
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