ArticleGland surgery2020
Development and validation of web-based nomograms for predicting lateral lymph node metastasis in patients with papillary thyroid carcinoma.
Article in Gland surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Precision of predictive nomograms for lymph node metastasis of thyroid cancer from Chinese real-world study: a systematic review and meta-analysis.Frontiers in endocrinology · 2025Pooled it
- Machine Learning: A Multicenter Study on Predicting Lateral Lymph Node Metastasis in cN0 Papillary Thyroid Carcinoma.The Journal of clinical endocrinology and metabolism · 2025Article
- Accuracy of papillary thyroid cancer prognostic nomograms: a systematic review.Endocrine connections · 2023Article
- The incidence and features of Delphian lymph node involvement in patients with papillary thyroid carcinoma.BMC surgery · 2022Article
- Construction and validation of a nomogram for predicting cervical lymph node metastasis in classic papillary thyroid carcinoma.Journal of endocrinological investigation · 2021Article
- Real-Time Elastography: A Web-Based Nomogram Improves the Preoperative Prediction of Central Lymph Node Metastasis in cN0 PTC.Frontiers in oncology · 2021Article
- Clinical implications of Delphian lymph node metastasis in papillary thyroid carcinoma.Gland surgery · 2021Article
- Risk Factors and Prediction Model for Lateral Lymph Node Metastasis of Papillary Thyroid Carcinoma in Children and Adolescents.Cancer management and research · 2021Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe purpose of this study was to evaluate the factors associated with lateral lymph node metastasis (LLNM) in patients with papillary thyroid carcinoma (PTC), and to develop two web-based nomograms that predict the probability of level-II and level-III/IV LLNM in these patients.
methodsThe records of 653 patients with PTC were retrospectively reviewed. Univariate and multivariate analyses were performed to identify risk factors associated with LLNM in 460 patients ("derivation group"). Two models [including and excluding the subregions of central lymph node metastasis (CLNM)] were used to predict the probability of level-II LLNM; the same two models were also used for level-III/IV LLNM. Model performance was assessed using receiver operating characteristic (ROC) analysis and decision curve analysis (DCA) in 193 patients ("validation group"). Two web-based nomograms were established.
resultsIncreased tumor size, a tumor in the upper lobe, and prelaryngeal and ipsilateral paratracheal lymph node metastasis (LNM) were significantly associated with level-II LNM (P<0.05). Increased tumor size, a tumor in the upper lobe, and certain subregions of CLNM were associated with level-III/IV LNM (P<0.05). Use of ROC analysis of each model indicated that including subgroups of CLNM led to better model performance than excluding these subgroups. We quantified the benefit of each model by using DCA analysis in the validation group.
conclusionsOur web-based nomograms provide quantification of risk for LLNM in patients with PTC before and during surgery.
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