Nomogram模型用于预测胃癌D2根治术后个体化预后
Nomogram Model Is Used to Predict the Individualized Prognosis of Gastric Cancer after D2 Radical Operation
DOI: 10.12677/ACM.2020.108237, PDF,   
作者: 郑 寒, 刘勇峰：延安大学附属医院，陕西 延安
关键词: 胃癌；生存率；预后；列线图；Gastric Cancer； Survival Rate； Prognosis； Nomogram
摘要: 背景与目的：目前延安市尚未有针对胃癌患者预后的预测模型，本研究拟构建一种个体化预测模型预测延安市患者胃癌预后的列线图模型。方法：回顾性收集2010年1月1日至2014年11月1日在YAUAH胃肠外科(705例)行胃癌手术的患者。并采用COX比例风险回归模型进行多因素生存分析，并构建Nomogram模型。结果：多因素分析显示，年龄、肿瘤直径、T分期、N分期、LODDS和化疗次数是影响总生存率(OS)的独立危险因素，并依据此构建了Nomogram模型。结论：本研究构建的Nomogram模型能够预测胃癌患者3年、5年生存率，并有良好的临床应用前景。
Abstract: Background and Purpose: At present, there is no prediction model for the prognosis of gastric cancer in Yan’an City. This study intends to build a personalized prediction model to predict the prognosis of gastric cancer in Yan’an City. Method: The patients who underwent gastric cancer surgery in YAUAH Gastrointestinal Surgery (705 cases) were collected retrospectively from January 1, 2010 to November 1, 2014. The COX proportional hazards regression model was used for multi-factor survival analysis, and the Nomogram model was constructed. Results: Multivariate analysis showed that age, tumor diameter, T stage, N stage, LODDS, and the number of chemotherapy were independent risk factors affecting overall survival (OS), and based on this, the Nomogram model was constructed. Conclusion: The Nomogram model constructed in this study can predict the 3-year and 5-year survival rates of gastric cancer patients, and has good clinical application prospects.
文章引用：郑寒, 刘勇峰. Nomogram模型用于预测胃癌D2根治术后个体化预后[J]. 临床医学进展, 2020, 10(8): 1587-1593. https://doi.org/10.12677/ACM.2020.108237

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