肿瘤预防与治疗2019，Vol.32Issue(4)：305-310,6.DOI:10. 3969/j. issn. 1674-0904. 2019. 04. 003
基于列线图的肿瘤风险预测及其效果评价
Prediction of Tumor Risk Based on Nomograms and Evaluation of Its Effect
摘要
Abstract
Objective: To introduce how to draw and evaluate nomogram, a medical visualization of cancer prediction model in R software. Methods: Taking the survival database for breast cancer from SPSS as an example, we drew nomogram based on cox model using survival and rms packages with R software. C-index and the calibration plot were used to evaluate model discrimination and accuracy. Results: Age, progesterone receptor status, lymphatic metastasis, tumor size were inde-pendent prognostic factors. The value of C-index was 0. 70 (0. 62~0. 80), The predicted survival probability by the calibra-tion plot (3/5/10 year) was basically consistent with the actual survival probability, which indicates that the model has high discrimination and accuracy. Conclusion: Nomograms based on cox model can be used to predict the incidence of cancer through various factors. This easy and direct tool may help clinicians in decision making.关键词
肿瘤风险预测/列线图/预测评价Key words
Tumor Risk Prediction/Nomogram/Prediction and validation分类
医药卫生引用本文复制引用
Li Weidong,Yang Li,Zou Xingwen,Dai Bofeng,Wang Ping,Zhang Jinxin..基于列线图的肿瘤风险预测及其效果评价[J].肿瘤预防与治疗,2019,32(4):305-310,6.基金项目
国家自然科学基金(编号:81773545) （编号:81773545）
广东省自然科学基金(编号:2016A030313365) This study was supported by the National Natural Science Foundation of China ( NO. 81773545) and the National Natural Science Foundation of Guangdong Province (NO. 2016A030313365) . （编号:2016A030313365）
