列线图
医学
接收机工作特性
腺癌
比例危险模型
肿瘤科
生存分析
内科学
肺癌
监测、流行病学和最终结果
曲线下面积
癌症
癌症登记处
作者
Feiyang Li,Fang Li,Dong Zhao,Haowei Lu
标识
DOI:10.1177/03000605241240993
摘要
We developed a simple, rapid predictive model to evaluate the prognosis of older patients with lung adenocarcinoma.Demographic characteristics and clinical information of patients with lung adenocarcinoma aged ≥60 years were retrospectively analyzed using Surveillance, Epidemiology, and End Results (SEER) data. We built nomograms of overall survival and cancer-specific survival using Cox single-factor and multi-factor regression. We used the C-index, calibration curve, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA) to evaluate performance of the nomograms.We included 14,117 patients, divided into a training set and validation set. We used the chi-square test to compare baseline data between groups and found no significant differences. We used Cox regression analysis to screen out independent prognostic factors affecting survival time and used these factors to construct the nomogram. The ROC curve, calibration curve, C-index, and DCA curve were used to verify the model. The final results showed that our predictive model had good predictive ability, and showed better predictive ability compared with tumor-node-metastasis (TNM) staging. We also achieved good results using data of our center for external verification.The present nomogram could accurately predict prognosis in older patients with lung adenocarcinoma.
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