ArticleFrontiers in endocrinology2023
A practical dynamic nomogram model for predicting bone metastasis in patients with thyroid cancer.
Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 18 citations in OpenAlex.
- Article
- Qoppa as a New Pan-Tumor Synthetic Parameter Derived from Tumor-Associated Biomarkers for Identifying Oncology Patients at High Risk of Metastasis: A Prospective Pilot Study.Journal of clinical medicine · 2026Article
- Risk factors and predictive nomograms for early mortality in patients with thyroid cancer lung metastasis based on the SEER database and a Chinese population study.Gland surgery · 2025Article
- Development and validation of a predictive model for acute myelitis secondary to hyperextension-induced spinal cord injury in pediatric patients.Frontiers in neurology · 2025Article
- Development and validation of a nomogram for predicting bone metastasis in breast cancer: a retrospective study.Frontiers in surgery · 2025Article
- Leveraging object detection for early diagnosis of neurodegenerative diseases through radiomic analysis.Frontiers in aging neuroscience · 2025Article
- Complete resorption of the humerus in metastatic thyroid carcinoma: a case report.BMC musculoskeletal disorders · 2024Review
- Analysis of risk factors for lymph node metastasis in 241 patients with thyroid carcinoma and establishment of a prediction model.American journal of cancer research · 2024Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: The aim of this study was to established a dynamic nomogram for assessing the risk of bone metastasis in patients with thyroid cancer (TC) and assist physicians to make accurate clinical decisions. Methods: The clinical data of patients with TC admitted to the First Affiliated hospital of Nanchang University from January 2006 to November 2016 were included in this study. Demographic and clinicopathological parameters of all patients at primary diagnosis were analyzed. Univariate and multivariate logistic regression analysis was applied to build a predictive model incorporating parameters. The discrimination, calibration, and clinical usefulness of the nomogram were evaluated using the C-index, ROC curve, calibration plot, and decision curve analysis. Internal validation was evaluated using the bootstrapping method. Results: A total of 565 patients were enrolled in this study, of whom 25 (4.21%) developed bone metastases. Based on logistic regression analysis, age (OR=1.040, Conclusions: This dynamic nomogram, with relatively good accuracy, incorporating age, HB, and ALP, could be conveniently used to facilitate the prediction of bone metastasis risk in patients with TC.
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