摘要
目的 探讨食管印戒细胞癌(SRCC)病人的临床特征和预后危险因素并构建列线图预测模型.方法 训练队列为SEER数据库中2010年~2017年诊断为食管SRCC的226例病人的信息,验证队列为2010年1月~2019年1月在我院被诊断为食管SRCC的21例病人.采用Cox比例风险回归模型进行单因素和多因素分析.利用R软件的"rms"软件包生成列线图.结果 单因素分析结果提示,年龄、性别、肿瘤位置、局部侵犯、淋巴结转移、远处转移、手术治疗、化疗、放疗是影响SRCC病人预后的危险因素(P<0.05);多因素cox回归分析结果显示,肿瘤位置、局部侵犯、淋巴结转移、远处转移、手术治疗、化疗、放疗是影响SRCC病人预后的独立危险因素(P<0.05);利用多因素Cox回归分析成功构建列线图预测模型,显示出一定的预测准确性.结论 基于SEER数据库中影响SRCC病人预后的危险因素成功构建了列线图预测模型,可为食管SRCC病人预后提供较为准确的预测.
Abstract
Objective To analyze the clinical characteristics and prognostic risk factors of esophageal signet ring cell carcinoma(SRCC)patients and construct a column chart prediction model.Methods The training queue consists of 226 patients diagnosed with esophageal SRCC from 2010 to 2017 in the SEER database,and the validation queue consists of 21 patients diagnosed with esophageal SRCC in our hospital from January 2010 to January 2019.Use Cox proportional risk regression model for single factor and multivariate analysis.Use the"rms"software package of R software to generate column charts.Results Univariate analysis showed that age,gender,tumor location,local invasion,lymph node metastasis,distant metastasis,surgical treatment,chemotherapy,and radiotherapy were risk factors affecting the prognosis of SRCC patients(P<0.05);In multivariate cox regression analysis,the results showed that tumor location,local invasion,lymph node metastasis,distant metastasis,surgical treatment,chemotherapy,and radiotherapy were independent risk factors affecting the prognosis of SRCC patients(P<0.05);A nomogram prediction model was successfully constructed using multivariate cox regression analysis,with a certain degree of predictive accuracy.Conclusion The nomogram prediction model was successfully constructed based on the risk factors affecting the prognosis of esophageal signet ring cell adenocarcinoma patients in the SEER database,which can provide more accurate predictions for the prognosis of esophageal SRCC patients.