3.5

CiteScore

2.3

Impact Factor
  • ISSN 1674-8301
  • CN 32-1810/R
Zhang Weifeng, Chen Han, Zhang Guoxin, Jin Guangfu. A nomogram for predicting lymph node metastasis in superficial esophageal squamous cell carcinoma[J]. The Journal of Biomedical Research, 2021, 35(5): 361-370. DOI: 10.7555/JBR.35.20210034
Citation: Zhang Weifeng, Chen Han, Zhang Guoxin, Jin Guangfu. A nomogram for predicting lymph node metastasis in superficial esophageal squamous cell carcinoma[J]. The Journal of Biomedical Research, 2021, 35(5): 361-370. DOI: 10.7555/JBR.35.20210034

A nomogram for predicting lymph node metastasis in superficial esophageal squamous cell carcinoma

  • Superficial esophageal squamous cell carcinoma (SESCC) is defined as carcinoma with mucosal or submucosal invasion, regardless of regional lymph node metastasis (LNM). The lymph node status is not only a key factor to determine the training strategy, but also the most important prognostic factor in esophageal cancer. In this study, we establish a clinical nomogram for predicting LNM in patients with SESCC. A predictive model was established based on the training cohort composed of 711 patients who underwent esophagectomy for SESCC from December 2009 to June 2018. A prospective cohort of 203 patients from June 2018 to January 2019 was used for validation. Favorable calibration and well-fitted decision curve analysis were conducted and good discrimination was observed (concordance index C-index, 0.860; 95% confidence interval CI, 0.825–0.894) through internal validation. The external validation cohort presented good discrimination (C-index, 0.916; 95% CI, 0.860–0.971). This model may facilitate the prediction of LNM in patients with SESCCs.
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