ArticleThoracic cancer2019
Nomogram to predict thymoma prognosis: A population-based study of 1312 cases.
Article in Thoracic cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Nomogram for predicting the prognosis of metastatic thymic epithelial tumors.Journal of thoracic disease · 2025Article
- Machine learning for predicting the prognosis of patients with thymoma and thymic carcinoma.Journal of thoracic disease · 2025Article
- Long term outcome of complex surgical resection and reconstruction for rare thoracic cancers.Tumori · 2023Article
- Prognostic value of preoperative chemotherapy for thymic epithelial tumors: A propensity-matched analysis based on the SEER database.Frontiers in surgery · 2023Article
- Nomogram based on TNM stage to predict the prognosis of thymic epithelial tumors (TETs) patients undergoing extended thymectomy.Frontiers in surgery · 2023Article
- Prognostic factors and genetic markers in thymic epithelial tumors: A narrative review.Thoracic cancer · 2022Review
- Identification and analysis of a prognostic ferroptosis and iron-metabolism signature for esophageal squamous cell carcinoma.Journal of Cancer · 2022Article
- The Studies of Prognostic Factors and the Genetic Polymorphism of Methylenetetrahydrofolate Reductase C667T in Thymic Epithelial Tumors.Frontiers in oncology · 2022Article
- Prognostic Value of Preoperative Nutritional Assessment and Neutrophil-to-Lymphocyte Ratio in Patients With Thymic Epithelial Tumors.Frontiers in nutrition · 2022Article
- Outcomes of thymoma after multimodal therapy and determinants of survival: A 16-year experience of a tertiary cancer center.Turk gogus kalp damar cerrahisi dergisi · 2021Article
- Survival Outcomes in Patients with Thymoma after Thymectomy in an Indian Scenario.Indian journal of surgical oncology · 2020Article
- Development and validation of a nomogram prognostic model for patients with neuroendocrine tumors of the thymus.Thoracic cancer · 2020Article
- lncRNAs classifier to accurately predict the recurrence of thymic epithelial tumors.Thoracic cancer · 2020Article
- Prognostic Nomogram and Predictive Factors in Refractory or Relapsed Diffuse Large B-Cell Lymphoma Patients Failing Front-Line R-CHOP Regimens.Journal of Cancer · 2020Article
- A nomogram to predict vascular invasion before resection of colorectal cancer.Oncology letters · 2019Article
- Tumor location may affect the clinicopathological features and prognosis of thymomas.Thoracic cancer · 2019Article
- [Myasthenia gravis].Der Nervenarzt · 2019Review
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13 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundA thymoma is a common cancer within the anterior mediastinum; however, the prognostic characteristics have not been established. The aim of this study was to identify the prognostic factors and develop a nomogram for the prognostic prediction of patients with thymoma based on data from the Surveillance, Epidemiology, and End Results (SEER) database.
methodsPatients with thymomas diagnosed between 1983 and 2014 were selected. Overall survival (OS) was estimated using the Kaplan-Meier method with the log-rank test. Univariate and multivariate Cox proportional hazards regression analyses were performed to identify the independent prognostic factors, from which a nomogram for thymomas was created. External validation of the nomogram was performed using data from our center.
resultsA total of 1312 patients with thymomas were enrolled. Age, tumor size, Masaoka-Koga stage, chemotherapy administered, and surgery type were independent prognostic factors for OS. A nomogram for OS was formulated based on the independent prognostic factors and validated using an internal bootstrap resampling approach, which showed that the nomogram exhibited a sufficient level of discrimination according to the C-index in training (0.713, 95% confidence interval 0.685-0.741) and (0.746, 95% confidence interval 0.625-0.867) validation cohorts.
conclusionSeveral prognostic factors for thymomas were identified. The nomogram developed in this study accurately predicted the 5-year and 10-year OS rates of patients with thymomas based on individual characteristics. Risk stratification using the survival nomogram could optimize individual therapy and follow-up.
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