Risk-based screening for second primary extrapulmonary malignancies in stage I lung cancer patients: A study based on SEER database

医学 列线图 肺癌 内科学 阶段(地层学) 人口 恶性肿瘤 入射(几何) 肿瘤科 癌症登记处 癌症 相对风险 流行病学 置信区间 古生物学 生物 物理 环境卫生 光学
作者
Tengyong Wang,Jian Zhou,Qi Zheng,Dongsheng Wu,Tianyi Lu,Meiqin Lin,Qiang Pu,Jiandong Mei,Lunxu Liu
出处
期刊:Lung Cancer [Elsevier]
卷期号:180: 107218-107218
标识
DOI:10.1016/j.lungcan.2023.107218
摘要

We conducted this study to identify the risk for second primary malignancy (SPM), especially for second primary extrapulmonary malignancy (SPEM), in resected stage I lung cancer patients.Resected stage I lung cancer patients were retrospectively enrolled from the SEER database (2008-2017). Standardized incidence ratio (SIR) was used to evaluate the relative risk of SPM of patients as compared to general population. Competing risk model was utilized to identify the risk factors for SPEM of increased risk (rSPEM). A simplified nomogram based on the factors was developed to stratify patients at different risks of rSPEM.A total of 14,495 patients were enrolled, and 1779 (12.27%) patients developed SPM during follow-up, of which 896 (50.37%) were SPEM. Enrolled patients had higher risk of SPM than general population (SIR: 1.92, 95% CI: 1.83 - 2.01). The yearly morbidity of SPM was about 3% - 4% over time. The three most frequent SPEM were prostate cancer, breast cancer, and urinary bladder cancer. The competing-risk multivariable analysis showed that increasing age, male, and white race were independent risk factors for rSPEM. The simplified nomogram showed favorable performance in stratifying patients at different risks of rSPEM (P < 0.001).The risk of SPM in stage I lung cancer patients was high. Risk factors for rSPEM were identified and the corresponding simplified nomogram based on the risk factors could discriminate patients at different risks well. The nomogram might help physicians to make more appropriate screening strategy for the SPEM.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
散步的书包应助支妙采纳,获得10
2秒前
4秒前
Ava应助Katie采纳,获得10
5秒前
5秒前
英姑应助饼饼采纳,获得10
6秒前
7秒前
zho应助简单的南霜采纳,获得10
8秒前
8秒前
旋转门发布了新的文献求助10
9秒前
9秒前
zebs完成签到,获得积分10
9秒前
75986686发布了新的文献求助10
10秒前
酷波er应助huhu采纳,获得10
10秒前
11秒前
巴啦啦啦完成签到,获得积分10
11秒前
bjb1999发布了新的文献求助10
11秒前
Frank给史道夫的求助进行了留言
13秒前
14秒前
15秒前
LJWU关注了科研通微信公众号
17秒前
bbl发布了新的文献求助10
17秒前
huhu完成签到,获得积分10
18秒前
Aegean发布了新的文献求助30
18秒前
Sky发布了新的文献求助30
21秒前
24秒前
852应助会武功的阿吉采纳,获得10
25秒前
Pretrial完成签到 ,获得积分10
25秒前
杨song完成签到 ,获得积分10
25秒前
25秒前
26秒前
科研牛马完成签到,获得积分10
28秒前
大方易巧完成签到 ,获得积分10
28秒前
28秒前
30秒前
香蕉秋寒完成签到,获得积分10
30秒前
LJWU发布了新的文献求助10
31秒前
77发布了新的文献求助30
32秒前
32秒前
Q11发布了新的文献求助10
32秒前
高分求助中
Evolution 10000
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 600
Distribution Dependent Stochastic Differential Equations 500
A new species of Coccus (Homoptera: Coccoidea) from Malawi 500
A new species of Velataspis (Hemiptera Coccoidea Diaspididae) from tea in Assam 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3157298
求助须知:如何正确求助?哪些是违规求助? 2808647
关于积分的说明 7878088
捐赠科研通 2467070
什么是DOI,文献DOI怎么找? 1313183
科研通“疑难数据库(出版商)”最低求助积分说明 630369
版权声明 601919