ArticleFrontiers in endocrinology2021
Risk Factors, Prognostic Factors, and Nomograms for Distant Metastasis in Patients With Newly Diagnosed Osteosarcoma: A Population-Based Study.
Article in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
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Who cites it
48 citing papers in PubMed.
- Development and Validation of Nomograms to Assess Risk Factors and Overall Survival Prediction for Lung Metastasis in Young Patients with Osteosarcoma: A SEER-Based Study.International journal of clinical practice · 2022Trial
- Lymphocyte-to-monocyte ratio predicts survival in localized osteosarcoma in Vietnamese patients.iScience · 2026Article
- Development and Validation of an Interpretable Machine Learning Model for Predicting Early Pulmonary Metastasis Risk in Osteosarcoma.Cancer medicine · 2026Article
- Development and verification of a competing risk model for forecasting cancer-specific survival in malignant bone tumor patients: an analysis of SEER database.Translational cancer research · 2026Article
- Liver metastasis-specific mortality in patients with primary gallbladder carcinoma: a competing risk model analysis based on the SEER database.Discover oncology · 2026Article
- Prognostic factors and survival outcomes in patients undergoing limb-sparing surgery for primary malignant bone tumors.Frontiers in oncology · 2026Article
- Development and validation of nomograms for distant metastasis and prognosis of small intestinal neuroendocrine tumors.Discover oncology · 2025Article
- Risk factors, prognostic factors, and nomograms for distant metastasis in patients with malignant pleural mesothelioma: A population-based retrospective study.The Journal of international medical research · 2025Article
- A 'Spicy' Mechanotransduction Switch: Capsaicin-Activated TRPV1 Receptor Modulates Osteosarcoma Cell Behavior and Drug Sensitivity.International journal of molecular sciences · 2025Article
- Development and validation of a BMI stratified mortality prediction model for patients with COPD complicated by HF using the MIMIC-IV database.Scientific reports · 2025Article
- Prognostic Factors in High Grade Osteosarcoma Patients Who Received Neoadjuvant Therapy and Subsequently Underwent Surgery: Data from the Turkish Oncology Group.Journal of clinical medicine · 2025Article
- A predictive nomogram for predicting liver metastasis in early-onset colon cancer: a population-based study.Translational cancer research · 2025Article
- Integrating network pharmacology and transcriptomics to identify solasonine's anti-osteosarcoma targets and experimental validation.Frontiers in oncology · 2025Article
- Feasibility and Tolerability of Arterial Infusion Chemotherapy and Embolization for Recurrent/Metastatic Soft Tissue Sarcoma: A Retrospective Exploratory Study.Drug design, development and therapy · 2025Article
- Prediction of Patients With Anaplastic Thyroid Carcinoma With Bone Metastasis: A Population-Based Study.International journal of endocrinology · 2025Article
- Osteosarcoma Management in the Precision Medicine Era: Bibliometric Analysis and Clinical Progress (2015-2024).The archives of bone and joint surgery · 2025Review
- Establishment of a nomogram for potential prediction of lung metastasis in patients with primary limb bone tumors: a study based on the SEER database.Translational cancer research · 2024Article
- Prognostic factors and predictive models for patients with lung large cell neuroendocrine carcinoma: Based on SEER database.The clinical respiratory journal · 2024Article
- Clinical Features, Risk Factors, and Prediction Nomogram for Primary Spinal Osteosarcoma: A Large-Cohort Retrospective Study.Global spine journal · 2024Article
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Abstract
Background: Osteosarcoma is the most common bone cancer, mainly occurring in children and adolescents, among which distant metastasis (DM) still leads to a poor prognosis. Although nomogram has recently been used in tumor areas, there are no studies focused on diagnostic and prognostic evaluation of DM in primary osteosarcoma patients. Methods: The data of osteosarcoma patients diagnosed between 2004 and 2015 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate logistic regression analyses were used to identify independent risk factors for DM in osteosarcoma patients, and univariate and multivariate Cox proportional hazards regression analyses were used to determine independent prognostic factors of osteosarcoma patients with DM. We then established two novel nomograms and the results were evaluated by receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Result: A total of 1,657 patients with osteosarcoma were included, and 267 patients (16.11%) had DM at the time of diagnosis. The independent risk factors for DM in patients with osteosarcoma include age, grade, T stage, and N stage. The independent prognostic factors for osteosarcoma patients with DM are age, chemotherapy and surgery. The results of ROC curves, calibration, DCA, and Kaplan-Meier (K-M) survival curves in the training, validation, and expanded testing sets, confirmed that two nomograms can precisely predict occurrence and prognosis of DM in osteosarcoma patients. Conclusion: Two nomograms are expected to be effective tools for predicting the risk of DM for osteosarcoma patients and personalized prognosis prediction for patients with DM, which may benefit clinical decision-making.
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