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!

Global, regional, and national lifetime probabilities of developing cancer in 2020

人口学 癌症 医学 置信区间 人口 乳腺癌 前列腺癌 终身风险 风险评估 癌症登记处 环境卫生 内科学 计算机安全 社会学 计算机科学
作者
Rongshou Zheng,Shaoming Wang,Siwei Zhang,Hongmei Zeng,Ru Chen,Kexin Sun,Li Li,Freddie Bray,Wenqiang Wei
出处
期刊:Science Bulletin [Elsevier BV]
卷期号:68 (21): 2620-2628 被引量:2
标识
DOI:10.1016/j.scib.2023.09.041
摘要

The lifetime risk of cancer is a measure of the cumulative risk of cancer over a specific age range and has a clear, intuitive appeal. However, comparative assessments of cancer-specific risk across populations are limited. We used the adjusted for multiple primaries method to estimate the lifetime risk of cancer from the obtained data from GLOBOCAN for 185 countries/regions for the year 2020, alongside all-cause mortality and population data from the United Nations. The estimated global lifetime risk of cancer from birth to death was 25.10% (95% confidence interval (CI): 25.08%–25.11%) in 2020; the risk was 26.27% (95% CI: 26.24%–26.30%) in men and 23.96% (95% CI: 23.93%–23.98%) in women. Significant differences were observed in the risks between countries/regions within world areas and by the human development level. The lifetime risk of cancer was 38.48%, 25.38%, 11.36%, and 10.34% in countries/regions with very high, high, medium, and low Human Development Index, respectively. Globally, prostate and breast cancers were associated with the greatest lifetime risks among men and women (4.65% and 5.90%, respectively). The lifetime risk of cancer decreased with age, with a remaining risk of 12.61% (95% CI: 12.60%–12.63%) from the age of 70 years. The lifetime risk from birth to death translates to approximately one in four persons developing cancer, with men and women having similar risk levels. The identified age-specific variations in cancer risk at the population level can provide crucial information to support targeted cancer prevention and health system planning.

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
小鱼完成签到 ,获得积分10
1秒前
wanci应助alangq采纳,获得10
2秒前
吉路发布了新的文献求助10
3秒前
11秒前
机灵发夹完成签到,获得积分10
16秒前
科研大牛发布了新的文献求助10
16秒前
17秒前
18秒前
23秒前
靓丽绮烟发布了新的文献求助10
23秒前
财路通八方完成签到 ,获得积分10
25秒前
27秒前
奈何发布了新的文献求助10
28秒前
粥粥发布了新的文献求助10
30秒前
碧蓝皮卡丘完成签到,获得积分10
31秒前
32秒前
Rita完成签到,获得积分10
33秒前
汤晨阳完成签到,获得积分20
34秒前
贺贺完成签到,获得积分10
38秒前
发十篇完成签到 ,获得积分10
40秒前
40秒前
粥粥完成签到,获得积分10
41秒前
汤晨阳发布了新的文献求助30
43秒前
MchemG应助科研通管家采纳,获得20
47秒前
MchemG应助科研通管家采纳,获得20
47秒前
MchemG应助科研通管家采纳,获得20
47秒前
MchemG应助科研通管家采纳,获得20
47秒前
49秒前
靓丽绮烟完成签到 ,获得积分10
49秒前
51秒前
无题完成签到,获得积分10
51秒前
靓丽绮烟关注了科研通微信公众号
53秒前
ymh140应助OK采纳,获得25
53秒前
56秒前
58秒前
58秒前
传奇3应助alangq采纳,获得30
59秒前
科研通AI6.2应助一刻钟采纳,获得10
1分钟前
1分钟前
1分钟前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7504749
求助须知:如何正确求助?哪些是违规求助? 9094295
关于积分的说明 19404793
捐赠科研通 7113031
什么是DOI,文献DOI怎么找? 3251621
关于科研通互助平台的介绍 2420783
邀请新用户注册赠送积分活动 2237635