ArticleBMC musculoskeletal disorders2020
A nomogram for predicting overall survival in patients with Ewing sarcoma: a SEER-based study.
Article in BMC musculoskeletal disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
- A Nomogram for Predicting Cancer-Specific Survival of Osteosarcoma and Ewing's Sarcoma in Children: A SEER Database Analysis.Frontiers in public health · 2022Trial
- Development and internal validation of dual overall and cancer-specific survival nomograms for primary spinal and sacropelvic Ewing sarcoma: a population-based study of 346 patients.Translational cancer research · 2026Article
- Prognosis of dedifferentiated liposarcoma based on surveillance, epidemiology, and end results database.European journal of medical research · 2025Article
- Endoglin-Directed CAR T Cells Comprehensively Target Tumors in Advanced Sarcomas.Cancer immunology research · 2025Article
- Incidence trends, overall survival, and metastasis prediction using multiple machine learning and deep learning techniques in pediatric and adolescent population with osteosarcoma and Ewing's sarcoma: nomogram and webpage.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025Article
- Prognostic Modeling for Bone Sarcomas Based on a Large Prospective Cohort From a Tertiary Care Cancer Center in India.JCO global oncology · 2025Article
- Prognostic factors and overall survival in pelvic Ewing's sarcoma and chordoma: A comparative SEER database analysis.Heliyon · 2024Article
- Development and validation of a machine learning-based model to predict postoperative overall survival in patients with soft tissue sarcoma: a retrospective cohort study.American journal of cancer research · 2024Article
- Article
- A tool for predicting overall survival in patients with Ewing sarcoma: a multicenter retrospective study.BMC cancer · 2022Article
- A novel nomogram and risk classification system predicting the Ewing sarcoma: a population-based study.Scientific reports · 2022Article
- A Visualized Dynamic Prediction Model for Lymphatic Metastasis in Ewing's Sarcoma for Smart Medical Services.Frontiers in public health · 2022Article
- Identification of an Inflammatory Response-Related Gene Signature to Predict Survival and Immune Status in Glioma Patients.Journal of immunology research · 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
- Development and validation of a prognostic nomogram for predicting overall survival in patients with primary bladder sarcoma: a SEER-based retrospective study.BMC urology · 2021Article
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5 authors.
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Abstract
backgroundEwing sarcoma, the second most frequent bone tumor in children and adolescents, is often presented with localized disease or metastatic-related symptoms. In this study, we aim to construct and validate a nomogram for patients with Ewing sarcoma to predict the 3- and 5-year overall survival (OS) based on the Surveillance, Epidemiology, and End Results (SEER) database.
methodsDemographic and clinic pathological characteristics of patients with Ewing sarcoma diagnosed between 2010 and 2015 were extracted from SEER database. Univariate and multivariate Cox analyses were carried out to identify the independent characteristics. The independent factors were further included into the construction of a nomogram. Finally, c-index and calibration curves were used to validate the nomogram.
resultsA total of 578 patients were enrolled into our analysis. The results of univariate Cox analysis showed that age, 7th AJCC stage, 7th AJCC T stage, 7th AJCC N stage, 7th AJCC M stage, metastatic status to lung, liver and bone were significant factors. Multivariate Cox analysis was performed and it confirmed age, N stage and bone metastasis as independent variables. Next, a nomogram was constructed using these independent variables in prediction to the 3- and 5-year OS. Furthermore, favorable results with c-indexes (0.757 in training set and 0.697 in validation set) and calibration curves closer to ideal curves indicated the accurate predictive ability of this nomogram.
conclusionsThe individualized nomogram demonstrated a good ability in prognostic prediction for patients with Ewing sarcoma.
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