ArticleGastroenterology research and practice2016
Analysis of Predictors for Lymph Node Metastasis in Patients with Superficial Esophageal Carcinoma.
Article in Gastroenterology research and practice, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
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
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Risk factors for lymph node metastasis in T1 esophageal squamous cell carcinoma: A systematic review and meta-analysis.World journal of gastroenterology · 2021Pooled it
- Pooled it
- Accuracy of machine learning in detecting lymph node metastasis of esophageal cancer: a systematic review and meta-analysis.Translational cancer research · 2026Article
- Prospective study ofThoracic cancer · 2024Article
- Prediction of lymph node metastasis in early esophageal cancer.World journal of gastrointestinal surgery · 2023Article
- Prognostic significance of lymphovascular invasion in patients with pT1b esophageal squamous cell carcinoma.BMC cancer · 2023Article
- The Feasibility and Safety of Endoscopic Submucosal Dissection for Circumferential Superficial Esophageal Squamous Cell Neoplasms.Journal of clinical medicine · 2023Article
- Machine learning models predict lymph node metastasis in patients with stage T1-T2 esophageal squamous cell carcinoma.Frontiers in oncology · 2022Article
- Risk factors of lymph node metastasis or lymphovascular invasion for superficial esophageal squamous cell carcinoma: A practical and effective predictive nomogram based on a cancer hospital data.Frontiers in medicine · 2022Article
- Effect of perioperative flurbiprofen axetil on long-term survival of patients with esophageal carcinoma who underwent thoracoscopic esophagectomy: A retrospective study.Journal of surgical oncology · 2021Article
- A nomogram for predicting lymph node metastasis in superficial esophageal squamous cell carcinoma.Journal of biomedical research · 2021Article
- Early Esophageal Cancer: A Gastroenterologist's Disease.Digestive diseases and sciences · 2019Review
- Prognostic value of lymphovascular invasion in patients with esophageal squamous cell carcinoma.Annals of translational medicine · 2019Article
- cT2N0 esophageal adenocarcinoma: predictors of lymph nodal involvement and clinical significance.Journal of thoracic disease · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In order to predict related risk factors for lymph node metastasis (LNM) in patients with superficial esophageal carcinoma (SEC) and provide reference for endoscopic minimally invasive treatment, we included a total of 93 patients with superficial esophageal carcinoma who have underwent esophagectomy and lymph node dissection from 2010 to 2015. The depth of invasion was remeasured and classified into 6 groups according to their wall penetration. The prediction model was founded based on the independent risk factors. The results shows that lymph node metastasis of m1, m2, m3, sm1, sm2, and sm3 of superficial esophageal carcinoma was 0%, 0%, 5.3%, 8.7%, 17.6%, and 37.5%, respectively. The tumor size, differentiation, and lymphvascular invasion were also significantly related to lymph node metastasis by univariate analysis. Multivariate analysis showed that the depth of invasion and lymphovascular invasion were independent risk factors of lymph node metastasis. A prediction model for lymph node metastasis was established as follows:
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.