ArticleBioMed research international2020
Prognostic Nomograms for Primary High-Grade Glioma Patients in Adult: A Retrospective Study Based on the SEER Database.
Article in BioMed research international, 2020. 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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Who cites it
12 citing papers in PubMed.
- Prognostic determinants and predictive modeling in higher-grade glioma patients receiving radiotherapy: a retrospective SEER-based study.Scientific reports · 2026Article
- Construction and validation of a clinical prognostic model for frontal glioblastoma: a real-world clinical study based on radiation therapy.Translational cancer research · 2025Article
- Evaluating treatment strategies and machine learning based treatment recommendation system for elderly patients with high grade gliomas.Frontiers in oncology · 2025Article
- Analysis of epidemiology and nomogram construction for prediction and clinical decision-making in gliomas.Frontiers in immunology · 2025Article
- Preoperative Systemic Immune-Inflammation Index is a Potential Biomarker in Adult Patients with High-Grade Gliomas Undergoing Radical Resection.Journal of inflammation research · 2023Article
- Article
- A Research Study to Measure the Efficacy of Terminating Cervical Cancer via Customized Optimum Pathway.Journal of healthcare engineering · 2022Article
- Competing risk model to determine the prognostic factors and treatment strategies for elderly patients with glioblastoma.Scientific reports · 2021Article
- Temporal Muscle Thickness is an Independent Prognostic Biomarker in Patients with Glioma: Analysis of 261 Cases.Cancer management and research · 2021Article
- A Novel Nomogram for Predicting the Risk of Short-Term Recurrence After Surgery in Glioma Patients.Frontiers in oncology · 2021Article
- Prognosis of Patients With Brainstem Glioblastoma Based on "age, surgery and radiotherapy": A SEER Database Analysis.Technology in cancer research & treatmentArticle
- Machine learning based survival prediction in Glioma using large-scale registry data.Health informatics journalArticle
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Authors and funding
7 authors.
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Abstract
purposeIn our study, we aimed to screen the risk factors that affect overall survival (OS) and cancer-specific survival (CSS) in adult glioma patients and to develop and evaluate nomograms.
methodsPrimary high-grade gliomas patients being retrieved from the surveillance, epidemiology and end results (SEER) database, between 2004 and 2015, then they randomly assigned to a training group and a validation group. Univariate and multivariate Cox analysis models were used to choose the variables significantly correlated with the prognosis of high-grade glioma patients. And these variables were used to construct the nomograms. Next, concordance index (C-index), calibration plot and receiver operating characteristics (ROCs) curve were used to evaluate the accuracy of the nomogram model. In addition, the decision curve analysis (DCA) was used to analyze the benefit of nomogram and prognostic indicators commonly used in clinical practice.
resultsA total of 6395 confirmed glioma patients were selected from the SEER database, divided into training set (n =3166) and validation set (n =3229). Age at diagnosis, tumor grade, tumor size, histological type, surgical type, radiotherapy and chemotherapy were screened out by Cox analysis model. For OS nomogram, the C-index of the training set was 0.741 (95% CI: 0.751-0.731), and the validation set was 0.738 (95% CI: 0.748-0.728). For CSS nomogram, the C-index of the training set was 0.739 (95% CI: 0.749-0.729), and the validation set was 0.738 (95% CI: 0.748-0.728). The net benefit and net reduction in inverventions of nomograms in the decision curve analysis (DCA) was higher than histological type.
conclusionsWe developed nomograms to predict 3- and 5-year OS rates and 3- and 5-year CSS rates in adult high-grade glioma patients. Both the training set and the validation set showed good calibration and validation, indicating the clinical applicability of the nomogram and good predictive results.
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