[Analysis of epidemiological trends from 1990 to 2021 of liver cancer in China].

流行病学 肝癌 中国 癌症 环境卫生 医学 地理 内科学 考古
作者
Yongzheng Han,Hao Sun,Dongsheng Xu
出处
期刊:PubMed 卷期号:33 (2): 143-150
标识
DOI:10.3760/cma.j.cn501113-20241009-00531
摘要

Objective: To analyze and predict the incidence and mortality rate condition from 1990 to 2021 and 2022 to 2045 in China so as to evaluate the impact of different ages, periods, and birth cohorts on liver cancer. Methods: The 2021 Global Burden of Disease Study database was used. The variation trend of standardized incidence and mortality of liver cancer was analyzed using the Joinpoint regression model. The age, period, and cohort effects were used to explore liver cancer incidence and mortality rates based on the age-period-cohort model. The Nordpred prediction model was used to fit the trend of standardized incidence and mortality rates in liver cancer. Simultaneously, the standardized incidence and mortality rates were predicted from 2022 to 2045 for liver cancer. Joinpoint regression analysis was performed using the GBDASR_aapc package. Results: The standardized incidence and mortality rate from 1990 to 2021 of liver cancer showed an overall downward trend year by year in China (P<0.01). Age, period, and cohort effects were all risk factors for the incidence of liver cancer. The incidence and mortality rates both increase with age, reaching a peak in the 85~89 age group. The risk of HCC morbidity and mortality was higher in the population of early-stage birth cohorts. Although the period effect showed a slight upward trend over time, the change in the period effect was relatively small. The incidence and mortality rates after the age of 40 were significantly higher in males than those of females. The prediction results showed that the standardized incidence and mortality rates from 2022 to 2045 of liver cancer have had a downward trend in China. Conclusion: The standardized incidence and mortality rates of liver cancer show an overall downward trend in China, but the burden in males is still high. Therefore, liver cancer prevention and control work in the future should continue to strengthen intervention in high-risk groups.
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
2秒前
3秒前
4秒前
5秒前
orixero应助谨慎的秋烟采纳,获得10
6秒前
五本笔记完成签到 ,获得积分10
7秒前
隐形曼青应助拓跋世开采纳,获得10
8秒前
12秒前
baiyixuan发布了新的文献求助10
13秒前
Danny完成签到,获得积分10
13秒前
14秒前
15秒前
15秒前
yfl完成签到,获得积分10
15秒前
15秒前
丘比特应助潺潺流水采纳,获得10
16秒前
杨武天一发布了新的文献求助20
16秒前
17秒前
18秒前
Hello应助等风的人采纳,获得10
18秒前
超级觅风发布了新的文献求助10
19秒前
lin01发布了新的文献求助10
19秒前
22秒前
23秒前
拓跋世开发布了新的文献求助10
23秒前
24秒前
roro熊发布了新的文献求助10
26秒前
27秒前
CipherSage应助优美的芷天采纳,获得10
28秒前
baiyixuan完成签到,获得积分10
28秒前
29秒前
无极微光应助款冬采纳,获得20
29秒前
aging00发布了新的文献求助30
30秒前
31秒前
31秒前
无花果应助大导师采纳,获得10
32秒前
酷波er应助超级觅风采纳,获得10
32秒前
Wsh完成签到,获得积分10
32秒前
32秒前
芯子发布了新的文献求助10
33秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Petrology and Plate Tectonics,2025 450
Burger's Medicinal Chemistry and Drug Discovery 400
New directions for experimental lessons in science teaching: Myth, Mystery, Necessity? by Emily K. da Silva Cunha Souto (Author), Flávia Lins Silva (Author) 333
Scientific experimentation in the classroom: Comparison between genetic-Socratic-exemplary teaching and workshop teaching by Ingrid Hofer (Author) 333
Programming for Chemical Engineers Using C, C++, and MATLAB 320
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 6723930
求助须知:如何正确求助?哪些是违规求助? 8459755
关于积分的说明 18059782
捐赠科研通 5977790
什么是DOI,文献DOI怎么找? 2997190
邀请新用户注册赠送积分活动 1973447
关于科研通互助平台的介绍 1928153