ArticleOncotarget2016
Lymph node ratio-based staging system as an alternative to the current TNM staging system to assess outcome in adenocarcinoma of the esophagogastric junction after surgical resection.
Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Prognostic significance of lymph node ratio in adenocarcinoma of the esophagogastric junction: a study of patients after radical gastrectomy.World journal of surgical oncology · 2025Article
- Prognostic analysis of lymph node ratio of patients with disease recurrence previously submitted to cervical dissection surgery for head and neck cancer.Revista do Colegio Brasileiro de Cirurgioes · 2022Article
- Lymph Node Ratio Is an Independent Prognostic Factor for Patients with Siewert Type II Adenocarcinoma of Esophagogastric Junction: Results from a 10-Year Follow-up Study.Journal of gastrointestinal cancer · 2021Article
- The Prognostic Value of Lymph Node Ratio after Neoadjuvant Chemotherapy in Patients with Locally Advanced Gastric Adenocarcinoma.Journal of gastric cancer · 2021Article
- Outcomes of Right Thoracoscopic Esophagectomy Combined with Laparotomy: a Preliminary Vietnamese Study.Medical archives (Sarajevo, Bosnia and Herzegovina) · 2020Article
- Pathologic lymph node ratio is a predictor of esophageal carcinoma patient survival: a literature-based pooled analysis.Oncotarget · 2017Article
- Prognostic performance of three lymph node staging schemes for patients with Siewert type II adenocarcinoma of esophagogastric junction.Scientific reports · 2017Article
- Metastatic lymph node ratio demonstrates better prognostic stratification than pN staging in patients with esophageal squamous cell carcinoma after esophagectomy.Scientific reports · 2016Article
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10 authors.
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Abstract
This study aimed to assess the prognostic value of the hypothetical tumor-N-ratio (rN)-metastasis (TrNM) staging system in adenocarcinoma of the esophagogastric junction (AEG). The clinical data of 387 AEG patients who received surgical resection were retrospectively reviewed. The optimal cut-off point of rN was calculated by the best cut-off approach using log-rank test. Kaplan-Meier plots and Cox regressions model were applied for univariate and multivariate survival analyses. A TrNM staging system based on rN was proposed. The discriminating ability of each staging was evaluated by using an adjusted hazard ratio (HR) and a -2log likelihood. The prediction accuracy of the model was assessed by using the area under the curve (AUC) and the Harrell's C-index. The number of examined lymph nodes (LNs) was correlated with metastatic LNs (r = 0.322, P < 0.001) but not with rN (r = 0.098, P > 0.05). The optimal cut-points of rN were calculated as 0, 0~0.3, 0.3~0.6, and 0.6~1.0. Univariate analysis revealed that pN and rN classifications significantly influenced patients' RFS and OS (P < 0.001). Multivariate analysis adjusted for significant factors revealed that rN was recognized as an independent risk factor. A larger HR, a smaller -2log likelihood and a larger prediction accuracy were obtained for rN and the modified TrNM staging system. Taken together, our study demonstrates that the proposed N-ratio-based TrNM staging system is more reliable than the TNM staging system in evaluating prognosis of AEG patients after curative resection.
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