Cause-specific death assessment of patients with stage I small-cell lung cancer: a competing risk analysis

被引:8
|
作者
Liu, Jiaqing [1 ,2 ,3 ,4 ]
Zhou, Huaqiang [1 ,2 ,3 ,4 ]
Zhang, Yaxiong [1 ,2 ,3 ]
Fang, Wenfeng [1 ,2 ,3 ]
Yang, Yunpeng [1 ,2 ,3 ]
Hong, Shaodong [1 ,2 ,3 ]
Chen, Gang [1 ,2 ,3 ]
Zhao, Shen [1 ,2 ,3 ]
Chen, Xi [1 ,2 ,3 ]
Zhang, Zhonghan [1 ,2 ,3 ]
Xian, Wei [4 ]
Shen, Jiayi [4 ]
Huang, Yan [1 ,2 ,3 ]
Zhao, Hongyun [1 ,2 ,3 ]
Zhang, Li [1 ,2 ,3 ]
机构
[1] Sun Yat Sen Univ, Ctr Canc, Dept Med Oncol, Guangzhou 510060, Guangdong, Peoples R China
[2] State Key Lab Oncol South China, Guangzhou 510060, Guangdong, Peoples R China
[3] Collaborat Innovat Ctr Canc Med, Guangzhou 510060, Guangdong, Peoples R China
[4] Sun Yat Sen Univ, Zhongshan Sch Med, Guangzhou 510080, Guangdong, Peoples R China
基金
国家重点研发计划;
关键词
cancer-specific death; competing risk nomogram; SCLC; SEER; SURVIVAL; SURGERY; COMORBIDITY; NOMOGRAM; OUTCOMES; LIMITATIONS; MORTALITY; PREDICT; IMPACT; NEED;
D O I
10.2217/fon-2018-0888
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Aim: Stage I small-cell lung cancer (SCLC) is a potentially curable disease that needs timely and multidisciplinary management. The aim of this study was to evaluate the probability of cause-specific mortality for patients with stage I SCLC. Material & methods: We identified patients in the SEER database and constructed a proportional subdistribution hazard model to evaluate cancer-specific mortality. A nomogram was built based on Fine and Gray competing risk regression model. Results:A total of864 stage I SCLC patients were identified. The 5-year cumulative incidence of SCLC-specific mortality was 56.2%, while that for other causes of death was 17.3%. The c-index for the prognostic prediction model was 0.66. Besides, the nomogram was well calibrated. Conclusion: Our nomogram might serve as a reference for clinicians when evaluating the prognosis of stage I SCLC.
引用
收藏
页码:2479 / 2488
页数:10
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