ArticleJournal of orthopaedic surgery and research2020
Risk factors for metastasis and poor prognosis of Ewing sarcoma: a population based study.
Article in Journal of orthopaedic surgery and research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 43 citations in OpenAlex.
- Imaging of ewing sarcoma: an updated analysis including presenting features, prognostic imaging biomarkers, and treatment response assessment.Skeletal radiology · 2026Review
- Prognostic Modeling for Bone Sarcomas Based on a Large Prospective Cohort From a Tertiary Care Cancer Center in India.JCO global oncology · 2025Article
- Druggable upregulated proteins in EWS-FLI-driven Ewing sarcoma as emerging new therapeutic targets.American journal of translational research · 2025Review
- Article
- UK guidelines for the management of bone sarcomas.British journal of cancer · 2025Review
- Prognostic factors and overall survival in pelvic Ewing's sarcoma and chordoma: A comparative SEER database analysis.Heliyon · 2024Article
- The development and external validation of a web-based nomogram for predicting overall survival with Ewing sarcoma in children.Journal of children's orthopaedics · 2024Article
- Analyzing socio-environmental determinants of bone and soft tissue cancer in Indonesia.BMC cancer · 2024Article
- The Clinical Characteristics, Risk Classification System, and Web-Based Nomogram for Primary Spinal Ewing Sarcoma: A Large Population-Based Cohort Study.Global spine journal · 2023Article
- Targeted Therapy for EWS-FLI1 in Ewing Sarcoma.Cancers · 2023Review
- Prognostic analysis and clinical characteristics of osteosarcoma and Ewing sarcoma of the rib, sternum, and clavicle: a SEER-based study.The Journal of international medical research · 2023Article
- Article
- A novel clinical tool to predict cancer-specific survival in patients with primary pelvic sarcomas: A large population-based retrospective cohort study.Cancer medicine · 2023Article
- Article
- A novel nomogram and risk classification system predicting the Ewing sarcoma: a population-based study.Scientific reports · 2022Article
- Development and Validation of a Novel Clinical Prediction Model to Predict the Risk of Lung Metastasis from Ewing Sarcoma for Medical Human-Computer Interface.Computational intelligence and neuroscience · 2022Article
- Development of a Machine Learning-Based Predictive Model for Lung Metastasis in Patients With Ewing Sarcoma.Frontiers in medicine · 2022Article
- Development and validation of a prognostic score at baseline diagnosis for Ewing sarcoma family of tumors: a retrospective single institution analysis of 860 patients.American journal of translational research · 2022Article
- Proton Therapy for Primary Bone Malignancy of the Pelvic and Lumbar Region - Data From the Prospective Registries ProReg and KiProReg.Frontiers in oncology · 2022Article
- Prevalence, Risk Factors, and Prognostic Factors of Primary Malignant Bone Neoplasms with Bone Metastasis at Initial Diagnosis: A Population-Based Study.Journal of oncology · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThis study is to determine the risk factors for metastasis of Ewing sarcoma (ES) patients in SEER database. Then explore clinicopathological factors associated with poor prognosis. Furthermore, develop the nomogram to predict the probability of overall survival and cancer-specific survival
methodsThus, we collected clinicopathological data of ES patients in SEER database, and then used chi-square test and logistic regression to determine risk factors associated to metastasis. We also did survival analysis including Kaplan-Meier curve and Cox proportional hazard model to explore the risk factors associated to overall survival and cancer-specific survival, and then developed the nomogram to visualize and quantify the probability of survival.
resultsAfter statistics, we find that patients with older ages (11-20 years old: OR = 1.517, 95% confidence interval [CI] 1.033-2.228, p = 0.034; 21-30 years old: OR = 1.659. 95%CI 1.054-2.610, p = 0.029), larger tumor size (> 8 cm: OR = 1.914, 95%CI 1.251-2.928, p = 0.003), and pelvic lesions (OR = 2.492, 95%CI 1.829-3.395, p < 0.001) had a higher risk of metastasis. ROC curves showed higher AUC (0.65) of combined model which incorporate these three factors to predict the presence of metastasis at diagnosis. In survival analysis, patients with older ages (11-20 years: HR = 1.549, 95%CI 1.144-2.099, p = 0.005; 21-30 years: HR = 1.808, 95%CI 1.278-2.556, p = 0.001; 31-49 years: HR = 3.481, 95%CI 2.379-5.094, p < 0.001; ≥ 50 years: HR = 4.307, 95%CI 2.648-7.006, p < 0.001) , larger tumor size (5-8 cm: HR = 1.386, 95%CI 1.005-1.991, p = 0.046; > 8 cm: HR = 1.877, 95%CI 1.376-2.561, p < 0.001), black race (HR = 2.104, 95%CI 1.296-3.416, p = 0.003), and wider extension (regional: HR = 1.373, 95%CI 1.033-1.823, p = 0.029; metastatic: HR = 3.259, 95%CI 2.425-4.379, p < 0.001) were associated with worse prognosis. Chemotherapy was associated with better prognosis (HR = 0.466, 95%CI 0.290-0.685, p < 0.001). The nomogram which developed by training set and aimed to predict OS and CSS showed good consistency with actual observed outcomes internally and externally.
conclusionIn conclusion, tumor size and primary site were associated with distant metastasis at diagnosis. Age, tumor size, primary site, tumor extent, and chemotherapy were associated with overall survival and cancer-specific survival. Nomogram could predict the probability of OS and CSS and showed good consistency with actual observed outcomes internally and externally.
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