ArticleJournal of biomedical research2021
A nomogram for predicting lymph node metastasis in superficial esophageal squamous cell carcinoma.
Article in Journal of biomedical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 2 citations in OpenAlex.
- A Weighted Neural Network Model Based on Laboratory Tests for Identifying Lymph Node Metastases in Esophageal Squamous Cell Carcinomas.Biosensors · 2026Article
- Accuracy of machine learning in detecting lymph node metastasis of esophageal cancer: a systematic review and meta-analysis.Translational cancer research · 2026Article
- Nomogram-based risk stratification to analyze the value of receiving postoperative adjuvant therapy after neoadjuvant immunochemotherapy for patients with locally advanced esophageal squamous carcinoma.Frontiers in immunology · 2025Article
- Risk factors and a predictive nomogram for lymph node metastasis in superficial esophageal squamous cell carcinoma.World journal of gastroenterology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.