ArticleGastroenterology research and practice2018
The Combination of Seven Preoperative Markers for Predicting Patients with Gastric Cancer to Be Either Stage IV or Non-Stage IV.
Article in Gastroenterology research and practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Current and evolving practices of carbohydrate antigens in gastric cancer: a narrative review.Translational cancer research · 2025Review
- Coagulation indices and fibrinogen degradation products as predictive biomarkers for tumor-node-metastasis staging and metastasis in gastric cancer.World journal of gastrointestinal oncology · 2025Article
- IGFBP7 regulates cell proliferation and migration through JAK/STAT pathway in gastric cancer and is regulated by DNA and RNA methylation.Journal of cellular and molecular medicine · 2024Article
- Fibrinogen Is A Coagulation Marker Associated With The Prognosis Of Endometrial Cancer.OncoTargets and therapy · 2019Article
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Authors and funding
3 authors.
Funding
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Abstract
To assess whether preoperative markers could predict the stage of patients with gastric cancer. We analyzed retrospectively the preoperative indicators between stage IV and non-stage IV gastric cancer at the Gastrointestinal Surgery of Nanjing Drum Tower Hospital. A total of 500 patients with gastric cancer were screened. Of all the variables, alpha-fetoprotein (AFP), carcinoembryonic antigen (CEA), carbohydrate antigen (CA) 125, carbohydrate antigen (CA) 199, carbohydrate antigen (CA) 724, carbohydrate antigen (CA) 242, thrombin time (TT), prothrombin time (PT), activated partial thromboplastin time (APTT), blood platelet count (PLT), white blood cell (WBC) count, C-reactive protein (CRP), neutrophil count (NC), lymphocyte count (LC), neutrophil-lymphocyte ratio (NLR), hemoglobin (HB), aspartate aminotransferase (AST), and ascites were found to have statistical differences between the two groups. Then, Stepwise Discriminant Analysis was conducted to establish a prediction model including 7 indexes (CA724, CA242, TT, PLT, CRP, AST, and ascites). According to the model, 90.6% of original grouped cases were correctly classified and 90.6% of cross-validated grouped cases were correctly classified. We built a discriminant including CA724, CA242, TT, PLT, CRP, AST, and ascites for predicting patients with gastric cancer to be either stage IV or non-stage IV. According to this discriminant, 90.6% of patients could be correctly predicted.
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