ArticleFrontiers in surgery2022
Model based on preoperative clinical characteristics to predict lymph node metastasis in patients with gastric cancer.
Article in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 2 citations in OpenAlex.
- miR-1287-5p as a Biomarker for Predicting Lymph Node Metastasis in Gastric Cancer Patients.International journal of general medicine · 2026Article
- Preoperative predictive model for the probability of lymph node metastasis in gastric cancer: a retrospective study.Frontiers in oncology · 2024Article
- Clinicopathological characteristics and treatment outcome of resectable gastric cancer patients with small para-aortic lymph node.Frontiers in oncology · 2023Article
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The risk factors of lymph node metastasis (LNM) in gastric cancer (GC) remain controversial. We aimed to identify risk factors of LNM in GC and construct a predictive model. Methods: A total of 1,337 resectable GC patients who underwent radical D2 lymphadenectomy at the first affiliated Hospital of Anhui Medical University from January 2011 to January 2014 were retrospectively analyzed and randomly divided into training and validation cohorts ( Results: BMI, histological grade, tumor size, CEA, and CA19-9 were enrolled in the model as independent risk factors of LNM. The model showed good resolution, with a C-index of 0.716 and 0.727 in the training and validation cohort, respectively, and good calibration. The cutoff value for predicted probability is 0.594, the proportion of patients with LNM in the high-risk group was significantly higher than that in the low-risk group. Decision curve analysis also indicated that the model had a good positive net gain. Conclusions: The nomogram-based prediction model developed in this study is stable with good resolution, reliability, and net gain. It can be used by clinicians to assess preoperative lymph node metastasis and risk stratification to develop individualized treatment plans.
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