ArticleBMC gastroenterology2019
Application value of nomogram and prognostic factors of gastric cancer patients who underwent D2 radical lymphadenectomy.
Article in BMC gastroenterology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 23 citations in OpenAlex.
- Tumor index predicts recurrences of patients with pathological stage Ⅰ gastric cancer after radical surgical resection.BMC cancer · 2025Article
- Using a nomogram based on the controlling nutritional status score to predict prognosis after surgery in patients with resectable gastric cancer.BMC gastroenterology · 2025Article
- Evaluation of three lymph node staging systems for prognostic prediction in gastric cancer: A systematic review and meta-analysis.World journal of gastrointestinal oncology · 2025Article
- A machine learning based radiomics approach for predicting No. 14v station lymph node metastasis in gastric cancer.Frontiers in medicine · 2024Article
- Treatment Outcomes and Prognostic Factors in N3 Stage Gastric Cancer After Curative Resection: A Real World Data.Cancer management and research · 2023Article
- Article
- Development of web-based dynamic nomogram to predict survival in patients with gastric cancer: a population-based study.Scientific reports · 2022Article
- Proposed Models for Prediction of Mortality in Stage-I and Stage-II Gastric Cancer and 5 Years after Radical Gastrectomy.Journal of oncology · 2022Article
- MRI features of signet ring rectal cancer.Abdominal radiology (New York) · 2021Article
- A nomogram to predict overall survival and disease-free survival after curative-intent gastrectomy for gastric cancer.Updates in surgery · 2021Article
- Combination of preoperative red cell distribution width and neutrophil to lymphocyte ratio as a prognostic marker for gastric cancer patients.Journal of gastrointestinal oncology · 2021Article
- A genomic-clinicopathologic Nomogram for the preoperative prediction of lymph node metastasis in gastric cancer.BMC cancer · 2021Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe aim of this study was to explore the prognostic factors and establish a nomogram to predict the long-term survival of gastric cancer patients.
methodsThe clinicopathological data of 421 gastric cancer patients, who were treated with radical D2 lymphadenectomy by the same surgical team between January 2009 and March 2017, were collected. The analysis of long-term survival was performed using Cox regression analysis. Based on the multivariate analysis results, a prognostic nomogram was formulated to predict the 5-year survival rate probability.
resultsIn the present study, the total overall 3-year and 5-year survival rates were 58.7 and 45.8%, respectively. The results of the univariate Cox regression analysis revealed that tumor staging, tumor location, Borrmann type, the number of lymph nodes dissected, the number of lymph node metastases, positive lymph nodes ratio, lymphocyte count, serum albumin, CEA, CA153, CA199, BMI, tumor size, nerve invasion, and vascular invasion were prognostic factors for gastric cancer (all, P < 0.05). However, merely tumor staging, tumor location, positive lymph node ratio, CA199, BMI, tumor size, nerve invasion, and vascular invasion were independent risk factors, based on the results of the multivariate Cox regression analysis (all, P < 0.05). The nomogram based on eight independent prognostic factors revealed a well-degree of differentiation with a concordance index of 0.76 (95% CI: 0.72-0.79, P < 0.001), which was better than the AJCC-7 staging system (concordance index = 0.68).
conclusionThe present study established a nomogram based on eight independent prognostic factors to predict long-term survival in gastric cancer patients. The nomogram would be beneficial for more accurately predicting the prognosis of gastric cancer, and provide important basis for making individualized treatment plans following surgery.
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