亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Incidence and mortality rates of lung cancer in Qingdao, China (2013‐2017)

入射(几何) 医学 肺癌 死亡率 人口学 人口 癌症 中国 环境卫生 内科学 地理 物理 考古 社会学 光学
作者
Xiaohui Sun,Xiang Xu,Yumei Wang,Binghui Hou,Tingting Luo,Di Meng,Shaojie Wang,Feng Ning
出处
期刊:Asia-pacific Journal of Clinical Oncology [Wiley]
卷期号:18 (2) 被引量:5
标识
DOI:10.1111/ajco.13559
摘要

To analyze lung cancer incidence and mortality rates from 2013 to 2017 in Qingdao, Shandong Province, China.The lung cancer new cases and death data during 2013-2017 were collected from the Qingdao Cancer Surveillance System. The crude incidence and mortality rates were calculated by residential area and gender. The annual percentage change (APC) was determined to evaluate the incidence and mortality rate trends.Between 2013 and 2017, 31 653 new lung cancer cases and 24 965 deaths from lung cancer were retrieved. The age-standardized incidence rates by Chinese standard population (ASIRC) were 42.1 per 100 000. The crude incidence rates for men and women increased from 85.2 and 46.3 per 100 000 in 2013 to 124.0 and 67.4 per 100 000 in 2017, respectively. The APCs were 7.8% for men (P < .001) and 7.5% (P = .027) for women. The crude mortality rates increased from 56.3 per 100 000 in 2013 to 68.0 per 100 000 in 2017. The age-standardized mortality rates by ASIRC were 32.3 per 100 000. The APCs of mortality rates were higher in men than in women and were higher in rural than in urban areas. Age-specific incidence and mortality rates were lower in individuals aged <40 years, increased sharply in those aged >40 years, and were the highest in 80-year-old individuals.These data show different patterns of incidence and mortality rate according to gender and resident area during 2013-2017. Early screening and targeted prevention should be implemented to control the increased trend of lung cancer.
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
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
搜集达人应助小牛马阿欢采纳,获得10
5秒前
epsilon1160完成签到,获得积分10
11秒前
Owen应助研友_nPxrVn采纳,获得20
11秒前
20秒前
研友_nPxrVn发布了新的文献求助20
23秒前
陈年人完成签到 ,获得积分10
26秒前
星辰大海应助小牛马阿欢采纳,获得150
28秒前
epsilon1160发布了新的文献求助10
32秒前
Akim应助xiao采纳,获得10
37秒前
所所应助小牛马阿欢采纳,获得10
51秒前
99完成签到 ,获得积分10
52秒前
wangzheng完成签到,获得积分10
58秒前
59秒前
1分钟前
直率的笑翠完成签到 ,获得积分10
1分钟前
SciGPT应助小牛马阿欢采纳,获得10
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
缪忆寒完成签到,获得积分10
1分钟前
NexusExplorer应助NguyenPhuong18采纳,获得30
1分钟前
1分钟前
丘比特应助小牛马阿欢采纳,获得10
1分钟前
看书完成签到,获得积分10
1分钟前
瘦瘦以亦发布了新的文献求助10
1分钟前
miki完成签到,获得积分10
1分钟前
爆米花应助瘦瘦以亦采纳,获得10
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
标致千凡发布了新的文献求助30
2分钟前
充电宝应助喜欢划水的仔采纳,获得10
2分钟前
2分钟前
2分钟前
2分钟前
CodeCraft应助成太采纳,获得20
2分钟前
领导范儿应助标致千凡采纳,获得10
2分钟前
高分求助中
Standards for Molecular Testing for Red Cell, Platelet, and Neutrophil Antigens, 7th edition 1000
HANDBOOK OF CHEMISTRY AND PHYSICS 106th edition 1000
ASPEN Adult Nutrition Support Core Curriculum, Fourth Edition 1000
Signals, Systems, and Signal Processing 610
脑电大模型与情感脑机接口研究--郑伟龙 500
GMP in Practice: Regulatory Expectations for the Pharmaceutical Industry 500
简明药物化学习题答案 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6299306
求助须知:如何正确求助?哪些是违规求助? 8116364
关于积分的说明 16991018
捐赠科研通 5360435
什么是DOI,文献DOI怎么找? 2847604
邀请新用户注册赠送积分活动 1825094
关于科研通互助平台的介绍 1679373