ArticleOncoTargets and therapy2018
Prognosis of patients with primary malignant main stem bronchial tumors: 7,418 cases based on the SEER database.
Article in OncoTargets and therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Artificial intelligence for the detection of airway nodules in chest CT scans.European radiology · 2025Article
- The Demographic and Clinical Characteristics, Prognostic Factors, and Survival Outcomes of Head and Neck Carcinosarcoma: A SEER Database Analysis.Biomedicines · 2024Article
- The percentages of signet-ring cells (SRCs) affects the prognosis after radical gastrectomy for advanced gastric cancer.Langenbeck's archives of surgery · 2023Article
- Focused targeting of inhaled magnetic aerosols in reconstructed in vitro airway models.Journal of biomechanics · 2021Article
- Clinicopathological Characteristics and Prognosis of Signet Ring Gastric Cancer: A Population-Based Study.Frontiers in oncology · 2021Article
- Article
- Development and Validation of a Prognostic Nomogram for Extremity Soft Tissue Leiomyosarcoma.Frontiers in oncology · 2019Article
- Clinicopathological characteristics and prognosis of pulmonary pleomorphic carcinoma: a population-based retrospective study using SEER data.Journal of thoracic disease · 2018Article
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10 authors.
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Abstract
backgroundThe aim of this study was to identify risk factors for patients with malignant main stem bronchial tumors (MBTs) and to develop a nomogram for predicting prognosis in those patients using data from the Surveillance, Epidemiology, and End Results (SEER) database.
methodA process was used for case screening from the SEER database. The effect of prognostic factors on survival was evaluated using the Kaplan-Meier method and log-rank test, a competing risk model, and the Cox proportional hazards regression model. A nomogram was established for predicting 1-, 3-, and 5-year overall survival (OS) in patients with MBTs.
resultsA total of 7,418 cases were included in this study. Age, gender, pathologic grade, histologic type, tumor size, involvement of lymph nodes, tumor extension, chemotherapy, and surgery were identified as independent risk factors by univariate and multivariate analyses. A nomogram was established based on the results of the Cox model, which was validated by a C-index of 0.672 (95% CI, 0.664-0.680), and a group of calibration plots.
conclusionAge, gender, pathologic grade, histologic type, tumor size, involvement of lymph nodes, tumor extension, chemotherapy, and surgery were independent risk factors for OS of patients with MBTs. A nomogram was formulated to predict 1-, 3-, and 5-year OS in patients with MBTs based on individual clinical characteristics.
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