ArticleBMC cancer2024
Development of a nomogram for prediction of central lymph node metastasis of papillary thyroid microcarcinoma.
Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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20 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Risk prediction model for cervical lymph node metastasis of papillary thyroid microcarcinoma: a systematic review and meta-analysis.Frontiers in endocrinology · 2025Pooled it
- Habitat imaging based on enhanced CT for predicting occult central lymph node metastasis in papillary thyroid carcinoma.European radiology · 2026Article
- Article
- Development and validation of an ultrasound-based predictive model for central lymph node metastasis in papillary thyroid carcinoma with peripheral calcification.Gland surgery · 2026Article
- A nomogram for predicting high-volume central lymph node metastasis in unilateral clinically node-negative papillary thyroid microcarcinoma.Gland surgery · 2026Article
- Prognostic Factors and Recurrence in Papillary Thyroid Microcarcinoma.Medicina (Kaunas, Lithuania) · 2026Article
- Development of a Machine Learning-Based Predictive Model for Central Lymph Node Metastasis in Papillary Thyroid Microcarcinoma.Cancer medicine · 2026Article
- Article
- Predictive significance of anterior and posterior minimal extrathyroidal extension for central lymph node metastasis in cN0 papillary thyroid carcinoma.Clinical & experimental metastasis · 2026Article
- Predicting central lymph node metastasis in papillary thyroid microcarcinoma: a study of ultrasound and clinical features.Frontiers in endocrinology · 2026Article
- A clinical nomogram for evaluating occult central lymph node metastasis in clinically low-risk, unifocal papillary thyroid microcarcinoma.Frontiers in endocrinology · 2026Article
- Association between ultrasound radiomics features and central lymph node metastasis in patients with papillary thyroid carcinoma.American journal of cancer research · 2026Article
- Nomogram prediction for central lymph node metastasis in papillary thyroid microcarcinoma of the isthmus based on clinical and ultrasound features.Frontiers in surgery · 2026Article
- Predictive Factors of Lymph Node Metastasis in Papillary Thyroid Microcarcinoma (PTMC).Medicina (Kaunas, Lithuania) · 2025Article
- Predictive nomogram for occult metastasis in central lymph nodes of papillary thyroid microcarcinoma based on clinical and ultrasound features.Gland surgery · 2025Article
- Current evidence and strategies for preventing tumor recurrence following thermal ablation of papillary thyroid carcinoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025Review
- Article
- Development and validation of a multidimensional machine learning-based nomogram for predicting central lymph node metastasis in papillary thyroid microcarcinoma.Gland surgery · 2025Article
- The impact of age at diagnosis on central lymph node metastasis in clinically low-risk papillary thyroid microcarcinoma patients.Thyroid research · 2025Article
- Development of a carbon nanoparticle-guided nomogram for predicting lateral cervical lymph node metastasis in clinically node-negative papillary thyroid carcinoma.American journal of translational research · 2025Article
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Authors and funding
4 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundPapillary thyroid carcinoma (PTC) is the most frequent malignant tumor in thyroid carcinoma. The aim of this study was to explore the risk factors associated with central lymph node metastasis in papillary thyroid microcarcinoma (PTMC) and establish a nomogram model that can assess the probability of central lymph node metastasis (CLNM).
methodsThe clinicopathological data of 377 patients with cN0 PTMC were collected and analyzed from The Second Affiliated Hospital of Fujian Medical University from July 1
resultsA total of 119 patients with PTMC had central lymph node metastases (31.56%). After that, age (P < 0.05), gender (P < 0.05), tumor size (P < 0.05), tumor multifocality (P < 0.05), and ultrasound imaging-suggested tumor boundaries (P < 0.05) were identified as the risk factors associated with CLNM. Subsequently, multivariate logistic regression analysis indicated that the area under the receiver operating characteristic (ROC) curve (AUC) of the training cohort was 0.703 and that of the validation cohort was 0.656, demonstrating that the prediction ability of this model is relatively good compared to existing models. The calibration curves indicated a good fit for the nomogram model. Finally, the decision curve analysis (DCA) showed that a probability threshold of 0.15-0.50 could benefit patients clinically. The probability threshold used in DCA captures the relative value the patient places on receiving treatment for the disease, if present, compared to the value of avoiding treatment if the disease is not present.
conclusionCLNM is associated with many risk factors, including age, gender, tumor size, tumor multifocality, and ultrasound imaging-suggested tumor boundaries. The nomogram established in our study has moderate predictive ability for CLNM and can be applied to the clinical management of patients with PTMC. Our findings will provide a better preoperative assessment and treatment strategies for patients with PTMC whether to undergo central lymph node dissection.
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