ArticleBMC musculoskeletal disorders2021
Risk analysis of pulmonary metastasis of chondrosarcoma by establishing and validating a new clinical prediction model: a clinical study based on SEER database.
Article in BMC musculoskeletal disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 34 citations in OpenAlex.
- Web-Based Prediction Models for Overall Survival and Cancer-Specific Survival of Patients With Primary Urachal Carcinoma: A Study Based on SEER Database.Frontiers in public health · 2022Trial
- A Web-Based Prediction Model for Overall Survival of Elderly Patients With Malignant Bone Tumors: A Population-Based Study.Frontiers in public health · 2021Trial
- A novel tool to predict the probability of pulmonary metastasis in patients with primary osseous sacral/pelvic tumors: a large real-world multicenter study.BMC pulmonary medicine · 2025Article
- Predicting postoperative complications after pneumonectomy using machine learning: a 10-year study.Annals of medicine · 2025Article
- Using machine learning algorithms to predict risk factors of heart failure after complete mesocolic excision in colorectal cancer patients.Scientific reports · 2025Article
- Addressing data imbalance in collision risk prediction with active generative oversampling.Scientific reports · 2025Article
- Prospects and challenges of deep learning in gynecologic malignancies.Frontiers in oncology · 2025Review
- Machine learning‑based radiomics models accurately predict Crohn's disease‑related anorectal cancer.Oncology letters · 2024Article
- RNA-binding protein THUMPD2 inhibits proliferation and promotes metastasis in epithelial ovarian cancer.Heliyon · 2024Article
- Integrative gene expression analysis and animal model reveal immune- and autophagy-related biomarkers in osteomyelitis.Immunity, inflammation and disease · 2024Article
- Unusual soft tissue metastases in a patient with chondrosarcoma: a case report.International cancer conference journal · 2024Article
- Development and validation of a nomogram integrating marital status for 5-year overall survival of chondrosarcoma: a population-based study.Discover oncology · 2024Article
- Predicting osteoporotic fractures post-vertebroplasty: a machine learning approach with a web-based calculator.BMC surgery · 2024Article
- Advances in artificial intelligence for the diagnosis and treatment of ovarian cancer (Review).Oncology reports · 2024Review
- Molecular In-Depth Characterization of Chondrosarcoma for Current and Future Targeted Therapies.Cancers · 2023Review
- Establishment and validation of systematic prognostic nomograms in patients over 60 years of age with osteosarcoma: A multicenter external verification study.Cancer medicine · 2023Article
- A nomogram model for predicting ocular GVHD following allo-HSCT based on risk factors.BMC ophthalmology · 2023Article
- Deep convolutional neural network for rib fracture recognition on chest radiographs.Frontiers in medicine · 2023Article
- Establishment and validation of an individualized nomogram to predict distant metastasis in chondrosarcoma patients: a population-based study.Translational cancer research · 2022Article
- Dynamic Predictive Models With Visualized Machine Learning for Assessing Chondrosarcoma Overall Survival.Frontiers in oncology · 2022Article
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Authors and funding
9 authors at 8 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe prognosis of lung metastasis (LM) in patients with chondrosarcoma was poor. The aim of this study was to construct a prognostic nomogram to predict the risk of LM, which was imperative and helpful for clinical diagnosis and treatment.
methodsData of all chondrosarcoma patients diagnosed between 2010 and 2016 was queried from the Surveillance, Epidemiology, and End Results (SEER) database. In this retrospective study, a total of 944 patients were enrolled and randomly splitting into training sets (n = 644) and validation cohorts(n = 280) at a ratio of 7:3. Univariate and multivariable logistic regression analyses were performed to identify the prognostic nomogram. The predictive ability of the nomogram model was assessed by calibration plots and receiver operating characteristics (ROCs) curve, while decision curve analysis (DCA) and clinical impact curve (CIC) were applied to measure predictive accuracy and clinical practice. Moreover, the nomogram was validated by the internal cohort.
resultsFive independent risk factors including age, sex, marital, tumor size, and lymph node involvement were identified by univariate and multivariable logistic regression. Calibration plots indicated great discrimination power of nomogram, while DCA and CIC presented that the nomogram had great clinical utility. In addition, receiver operating characteristics (ROCs) curve provided a predictive ability in the training sets (AUC = 0.789, 95% confidence interval [CI] 0.789-0.808) and the validation cohorts (AUC = 0.796, 95% confidence interval [CI] 0.744-0.841).
conclusionIn our study, the nomogram accurately predicted risk factors of LM in patients with chondrosarcoma, which may guide surgeons and oncologists to optimize individual treatment and make a better clinical decisions.
trial registrationJOSR-D-20-02045, 29 Dec 2020.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.