A Population-Based Analysis of Distant Metastasis in Stage IV Gastric Cancer

医学 内科学 癌症 阶段(地层学) 肿瘤科 比例危险模型 转移 危险系数 流行病学 逻辑回归 骨转移 人口 化疗 肺癌 脑转移 原发性肿瘤 置信区间 古生物学 环境卫生 生物
作者
Yiran Zhang,Yile Lin,Jincai Duan,Ke Xu,Min Mao,Xin Wang
出处
期刊:Medical Science Monitor [International Scientific Information, Inc.]
卷期号:26 被引量:28
标识
DOI:10.12659/msm.923867
摘要

BACKGROUND:Distant metastasis (DM) is a crucial problem in management of patients with gastric cancer. Identification of the risk factors for development of DM and the prognostic factors for patients with DM is essential in development of individualized treatment of patients at the advanced stage with specific metastasis. MATERIAL AND METHODS:Records of patients with gastric cancer were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Survival duration of patients with specific DM was estimated, and the prognostic factors were investigated using the Cox proportional hazard regression model. The logistic regression model was used to reveal the inherent risk factors for development of DM. RESULTS:Eventually, 32.6% (11,918 out of 36,588) of gastric cancer patients were diagnosed with DM between 2010 and 2015, among whom 5,361, 1,778, 1,495, and 231 patients were diagnosed with liver, lung, bone, and brain metastasis, respectively. The median overall survival for patients with DM was 5.0 (95% CI: 4.8–5.2) months, with a 5-year survival rate of 3.9%. Primary tumor site, histology types, tumor grade, T stage, N stage, surgery, chemotherapy, and the number of metastases were associated with worse survival. Younger age and higher tumor grade were positively associated with the development of DM. CONCLUSIONS:Initial DM was found in 32.6% of patients with gastric cancer. Homogenous and heterogenous predictive factors were identified for patients with a specific metastatic site, which can be used in targeted screening and individualized treatment.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
烟花应助四九采纳,获得10
刚刚
云弋发布了新的文献求助10
刚刚
曦和发布了新的文献求助10
1秒前
2秒前
达西先生发布了新的文献求助10
2秒前
nail发布了新的文献求助10
4秒前
Lert发布了新的文献求助10
4秒前
Hello应助Rivery采纳,获得10
4秒前
4秒前
上官若男应助烟浙采纳,获得10
4秒前
5秒前
huan9955完成签到,获得积分10
5秒前
5秒前
7秒前
Lee完成签到,获得积分20
7秒前
7秒前
科研通AI6.3应助fjnm采纳,获得10
7秒前
友好的小萱完成签到 ,获得积分10
8秒前
8秒前
万能图书馆应助cannnnn采纳,获得10
9秒前
撖堡包完成签到 ,获得积分10
9秒前
调皮的曼安完成签到,获得积分10
9秒前
polofly完成签到,获得积分10
9秒前
科研小白发布了新的文献求助10
9秒前
Rivery完成签到,获得积分10
10秒前
欣慰问凝完成签到 ,获得积分10
11秒前
伊丽莎白完成签到,获得积分10
12秒前
12秒前
Owen应助远_09采纳,获得10
12秒前
科目三应助liu11采纳,获得10
12秒前
zmjxm发布了新的文献求助10
13秒前
SciGPT应助Lert采纳,获得10
14秒前
V入门发布了新的文献求助10
14秒前
婷婷婷不停完成签到,获得积分10
15秒前
16秒前
Shaynin完成签到,获得积分10
16秒前
Hanoi347发布了新的文献求助10
16秒前
18秒前
18秒前
hzz关闭了hzz文献求助
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Social Cognition: Understanding People and Events 800
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6026320
求助须知:如何正确求助?哪些是违规求助? 7669068
关于积分的说明 16182483
捐赠科研通 5174357
什么是DOI,文献DOI怎么找? 2768703
邀请新用户注册赠送积分活动 1752047
关于科研通互助平台的介绍 1637991