ArticleScientific reports2021
Retrospective analysis of predictive factors for lymph node metastasis in superficial esophageal squamous cell carcinoma.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 16 citations in OpenAlex.
- Development and validation of an interpretable Random Forest model for predicting recurrence after endoscopic submucosal dissection in superficial oesophageal squamous cell carcinoma.Annals of medicine · 2026Article
- Accuracy of machine learning in detecting lymph node metastasis of esophageal cancer: a systematic review and meta-analysis.Translational cancer research · 2026Article
- Lymph Node Metastasis Pattern and Influencing Factors in Esophageal Squamous Cell Carcinoma.Aging medicine (Milton (N.S.W)) · 2026Article
- Comprehensive pathological evaluation of risk factors for metastasis after endoscopic resection of superficial esophageal squamous cell carcinoma.Journal of gastroenterology · 2025Article
- Automatic segmentation of esophageal cancer, metastatic lymph nodes and their adjacent structures in CTA images based on the UperNet Swin network.Cancer medicine · 2024Article
- Risk factors for lymph node metastasis in superficial esophageal squamous cell carcinoma.World journal of gastroenterology · 2024Article
- Immune infiltration and prognosis in gastric cancer: role of NAD+ metabolism-related markers.PeerJ · 2024Article
- Risk factors and a predictive nomogram for lymph node metastasis in superficial esophageal squamous cell carcinoma.World journal of gastroenterology · 2023Article
- Construction of the prognostic model in non-metastatic renal cancer patients with venous tumor thrombus.Translational andrology and urology · 2023Article
- Role of endoscopic ultrasound for pre-intervention evaluation in early esophageal cancer.World journal of gastrointestinal endoscopy · 2023Article
- The Feasibility and Safety of Endoscopic Submucosal Dissection for Circumferential Superficial Esophageal Squamous Cell Neoplasms.Journal of clinical medicine · 2023Article
- Deep-Learning for the Diagnosis of Esophageal Cancers and Precursor Lesions in Endoscopic Images: A Model Establishment and Nationwide Multicenter Performance Verification Study.Journal of personalized medicine · 2022Article
- Effects of Radiotherapy on Survival of Esophageal Cancer Patients Receiving Immunotherapy: Propensity Score Analysis and Nomogram Construction.Cancer management and research · 2022Article
Corrections and comments
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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
This study aimed to identify the risk factors of lymph node metastasis (LNM) in superficial esophageal squamous cell carcinoma and use these factors to establish a prediction model. We retrospectively analyzed the data from training set (n = 280) and validation set (n = 240) underwent radical esophagectomy between March 2005 and April 2018. Our results of univariate and multivariate analyses showed that tumor size, tumor invasion depth, tumor differentiation and lymphovascular invasion were significantly correlated with LNM. Incorporating these 4 variables above, model A achieved AUC of 0.765 and 0.770 in predicting LNM in the training and validation sets, respectively. Adding macroscopic type to the model A did not appreciably change the AUC but led to statistically significant improvements in both the integrated discrimination improvement and net reclassification improvement. Finally, a nomogram was constructed by using these five variables and showed good concordance indexes of 0.765 and 0.770 in the training and validation sets, and the calibration curves had good fitting degree. Decision curve analysis demonstrated that the nomogram was clinically useful in both sets. It is possible to predict the status of LNM using this nomogram score system, which can aid the selection of an appropriate treatment plan.
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