ArticleBMC cancer2016
A nomogram for predicting the likelihood of lymph node metastasis in early gastric patients.
Article in BMC cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 3 of them syntheses that pooled it.
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Who cites it
42 citing papers in PubMed, 3 syntheses or guidelines pooled it, 65 citations in OpenAlex.
- Endoscopic resection or radical gastrectomy? Risk factors for lymph node metastasis in early gastric cancer: a systematic review and meta-analysis.World journal of surgical oncology · 2026Pooled it
- Risk prediction models for lymph node metastasis in early gastric cancer patients: a systematic review and meta-analysis.BMC gastroenterology · 2025Pooled it
- Machine learning for lymph node metastasis prediction of in patients with gastric cancer: A systematic review and meta-analysis.Frontiers in oncology · 2022Pooled it
- Development of a prognostic model for major postoperative complications in gastric cancer patients undergoing laparoscopic gastrectomy.Frontiers in surgery · 2026Article
- Laparoscopic ultrasound versus intraoperative gastroscopy for tumor localization in laparoscopic gastrectomy: a comparative cohort study.BMC surgery · 2025Article
- Multiple data sets to explore the key molecules and mechanism of lymph node metastasis in gastric cancer.Discover oncology · 2025Article
- Combining biomarkers to construct a novel predictive model for predicting preoperative lymph node metastasis in early gastric cancer.Frontiers in oncology · 2025Article
- Nomogram for predicting the 28-day mortality risk of patients with subendocardial infarction.Frontiers in cardiovascular medicine · 2025Article
- Clinicopathologic characteristics and predictive nomogram of skip lymph node metastasis in gastric cancer.Frontiers in oncology · 2025Article
- Development and validation of a nomogram for predicting lymph node metastasis in early gastric cancer.World journal of gastrointestinal oncology · 2024Article
- Development and Validation of Models to Predict Lymph Node Metastasis in Early Gastric Cancer Using Logistic Regression and Gradient Boosting Machine Methods.Cancer research and treatment · 2023Article
- Review
- Scoring Model Based on Nodal Metastasis Prediction Suggesting an Alternative Treatment to Total Gastrectomy in Proximal Early Gastric Cancer.Journal of gastric cancer · 2022Article
- A novel DNA methylation signature associated with lymph node metastasis status in early gastric cancer.Clinical epigenetics · 2022Article
- Paclitaxel treatment enhances lymphatic metastasis of B16F10 melanoma cells via CCL21/CCR7 axis.International journal of biological sciences · 2022Article
- Establishment of a nomogram for predicting lymph node metastasis in patients with early gastric cancer after endoscopic submucosal dissection.Frontiers in oncology · 2022Article
- Development and validation of a nomogram to predict the 30-day mortality risk of patients with intracerebral hemorrhage.Frontiers in neuroscience · 2022Article
- Article
- Establishment and Validation for Predicting the Lymph Node Metastasis in Early Gastric Adenocarcinoma.Journal of healthcare engineering · 2022Article
- Construction of a Nomogram Model for Predicting Peritoneal Dissemination in Gastric Cancer Based on Clinicopathologic Features and Preoperative Serum Tumor Markers.Frontiers in oncology · 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
backgroundEarly gastric cancer is defined as a lesion confined to the mucosa or submucosa, regardless of the size or lymph node metastasis. Treatment methods include endoscopic mucosal resection or endoscopic submucosal dissection, wedge resection, laparoscopically assisted gastrectomy and open gastrectomy. Lymph node metastasis is strong related with survival and recurrence. Therefore, the likelihood of lymph node metastasis is one of the most important factors when determining the most appropriate treatment.
methodsWe retrospectively analyzed 597 patients who underwent D2 gastrectomy for early gastric cancer. The relationship between lymph node metastasis and clinicopathological features was analyzed. Using multivariate logistic regression analyses, we created a nomogram to predict the lymph node metastasis probability for early gastric cancer. Receiver operating characteristic analyses was performed to assess the predictive value of the model.
resultsIn the present study, 58 (9.7%) early gastric cancer patients were histologically shown to have lymph node metastasis. The multivariate logistic regression analysis demonstrated that the age at diagnosis, differentiation status, the presence of ulcers, lymphovascular invasion and depth of invasion were independent risk factors for lymph node metastasis in early gastric cancer. Additionally, the tumor macroscopic type, size and histology type significantly correlated with these important independent factors. We constructed a predictive nomogram with these factors for lymph node metastasis in early gastric cancer patients, and the discrimination was good with the AUC of 0.860 (95% CI: 0.809-0.912).
conclusionsWe developed an effective nomogram to predict the incidence of lymph node metastasis for early gastric cancer patients.
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