ArticleAmerican journal of translational research2023
Construction of predictive model for prognosis of patients after radical resection of colon cancer based on nomogram.
Article in American journal of translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- CT-based abdominal fat parameters as predictors of recurrence-free survival after radical resection of colorectal cancer: a nomogram approach.Abdominal radiology (New York) · 2026Article
- Comparative Analysis of the Effects of Propofol and Sevoflurane on Coagulation and Immune System Function in Patients Undergoing Radical Surgery for Colon Cancer.International journal of general medicine · 2025Article
- Construction and validation of a clinical risk model based on machine learning for screening characteristic factors of lymphovascular space invasion in endometrial cancer.Scientific reports · 2024Article
- Preoperative blood markers and intra-abdominal infection after colorectal cancer resection.World journal of gastrointestinal surgery · 2024Article
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6 authors.
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Abstract
objectiveTo construct a predictive model for 3-year survival of patients after curative resection of colon cancer by nomogram.
methodA retrospective analysis was conducted to analyze the clinicopathologic data of 102 patients who underwent radical resection of colon cancer in Baoji Central Hospital from April 2015 to April 2017. The optimal cutoff values of preoperative CEA, CA125, and NLR for predicting overall survival were analyzed by receiver operating characteristic (ROC) curves. To observe the relationship between NLR, CEA and CA125 and clinicopathologic data, we performed multivariate Cox regression to analyze the independent factors affecting the prognosis of patients, and Kaplan-Meier test to identify the relationship between NLR, CEA and CA125 and patient survival. A nomogram prediction model was drawn for patients' 1-, 2-, and 3-year survival after radical resection of colon cancer, and the efficacy of the prediction model was evaluated.
resultsThe area under the curve (AUC) of NLR, CEA and CA125 in predicting patient death was 0.784, 0.790 and 0.771, respectively. NLR was correlated with clinical stage, tumor diameter and differentiation (all P < 0.05); CEA was associated with clinical stage, tumor diameter, differentiation and lymph node metastasis (all P < 0.05); CA125 was only associated with tumor diameter in patients (P < 0.05). Differentiation, NLR, CEA and CA125 were independent risk factors affecting the prognosis of patients (all P < 0.05). The nomogram predicted a model C-index of 0.918 (95% CI 0.885-0.952), and the risk model score was found to have a high clinical value in the 3-year survival of preexisting patients.
conclusionPreoperative NLR, CEA, CA125 and clinical stage are correlated with the prognosis of patients with colon cancer. The nomogram model constructed based on NLR, CEA, CA125 and clinical stage has good accuracy.
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