ArticleAnnals of translational medicine2020
Clinical nomogram for lymph node metastasis in pathological T1 esophageal squamous cell carcinoma: a multicenter retrospective study.
Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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12 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Risk factors for lymph node metastasis in T1 esophageal squamous cell carcinoma: A systematic review and meta-analysis.World journal of gastroenterology · 2021Pooled it
- Accuracy of machine learning in detecting lymph node metastasis of esophageal cancer: a systematic review and meta-analysis.Translational cancer research · 2026Article
- Characteristics of Lymph Node Metastasis in Esophageal Squamous-Cell Carcinoma Undergoing Upfront Minimally Invasive Esophagectomy: A Prospective Surgical Cohort Study.Asian Pacific journal of cancer prevention : APJCP · 2026Article
- Article
- Current status and perspectives of esophageal cancer: a comprehensive review.Cancer communications (London, England) · 2025Review
- Prognostic Effect of the PNI and LSR in Patients with Esophageal Squamous Cell Carcinoma Patients Receiving Radiotherapy.Journal of gastrointestinal cancer · 2024Article
- Prognostic prediction model for patients with pathological T1N0 stage esophageal squamous cell carcinoma undergone esophagectomy.Journal of thoracic disease · 2024Article
- Unveiling the best predictive models for early‑onset metastatic cancer: Insights and innovations (Review).Oncology reports · 2024Review
- Construction and validation of a risk-scoring model to predict lymph node metastasis in T1b-T2 esophageal cancer.Surgical endoscopy · 2024Article
- Clinicopathological correlation of aspartate aminotransferase-to-platelet ratio (APRI) and aspartate aminotransferase-to-alanine aminotransferase ratio (AAR) with survival in esophageal carcinoma patients: a retrospective cohort analysis of 951 patients.Annals of medicine and surgery (2012) · 2023Article
- Machine learning models predict lymph node metastasis in patients with stage T1-T2 esophageal squamous cell carcinoma.Frontiers in oncology · 2022Article
- Physician-Pharmacist Collaborative Clinic Model to Improve Anticoagulation Quality in Atrial Fibrillation Patients Receiving Warfarin: An Analysis of Time in Therapeutic Range and a Nomogram Development.Frontiers in pharmacology · 2021Article
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10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEndoscopic resection is increasingly used to treat pathological T1 (pT1) esophageal cancer (EC) patients. However, the procedures are limited by lymph node metastasis (LNM) and remain controversial. We aimed to construct a nomogram to predict the risk of LNM in patients with pT1 esophageal squamous cell carcinoma (ESCC).
methodsA total of 243 patients with pT1 ESCC who underwent esophagectomy and lymph node dissection at two different institutes between February 2013 and June 2019 were analyzed retrospectively. Patients were categorized into the negative group and the positive group according to whether there was LNM. Risk factors for LNM were evaluated by univariate and multivariate analyses. The nomogram was used to estimate the individual risk of LNM.
resultsForty-six (18.9%) of the 243 patients with pT1 ESCC exhibited LNM. The LNM rate in patients with stage T1a disease was 5.7% (5/88), and the rate in patients with stage T1b disease was 26.5% (41/155). Multivariable logistic regression analysis showed that tumor differentiation [odds ratio (OR) =1.942, 95% confidence interval (CI): 1.067-3.536, P=0.030], the T1 sub-stage (OR =4.750, 95% CI: 1.658-13.611, P=0.004), the preoperative alanine aminotransferase/aspartate aminotransferase ratio (LSR) (OR =5.371, 95% CI: 1.676-17.210, P=0.005), and the high-density lipoprotein cholesterol (HDL-C) level (OR =5.894, 95% CI: 1.917-18.124, P=0.002) were independent risk factors for LNM. The nomogram had relatively high accuracy, with an area under the receiver operating characteristic curve (AUC) of 0.803 (95% CI: 0.732-0.873). The calibration curve showed that the predicted probability of LNM was in good agreement with the actual probability.
conclusionsClinicopathological and hematological parameters of tumor differentiation, the T1 sub-stage, the preoperative LSR, and the HDL-C level may predict the risk of LNM in T1 ESCC. The risk of LNM can be predicted by the nomogram.
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