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!

Projected Global Trends in Hematological Malignancies: Incidence, Mortality, and Disability-Adjusted Life Years from 2020 to 2030

医学 入射(几何) 疾病负担 流行病学 伤残调整生命年 人口 全球卫生 疾病 预期寿命 血液病 医疗保健 死亡率 疾病负担 人口学 环境卫生 公共卫生 老年学 内科学 病理 经济 社会学 物理 光学 经济增长
作者
Zhuo‐Yu An,Hai‐Xia Fu,Yun He,Xiaolu Zhu,Qiu-Sha Huang,Jin Wu,Kai‐Yan Liu,Xiaohui Zhang
出处
期刊:Blood [Elsevier BV]
卷期号:142 (Supplement 1): 3810-3810 被引量:21
标识
DOI:10.1182/blood-2023-187856
摘要

Introduction: Hematological malignancies encompass a diverse group of conditions affecting the blood and its components, including anemia, bleeding disorders, hematologic malignancies, and inherited blood disorders. These disorders have a substantial impact on global health, posing challenges for health care systems worldwide. Understanding the future trends in the incidence, mortality, and disability-adjusted life years (DALYs) associated with hematological malignancies is crucial for effective health care planning and resource allocation. This study was designed to project the global trends in hematological malignancies from 2020 to 2030 and provide insights into the anticipated burden of these conditions. Methods: Estimated annual percentage changes (EAPCs) were utilized to forecast trends in the incidence, deaths, and DALYs associated with hematological malignancies between 2020 and 2030. EAPCs were derived using generalized additive models and data from the Global Burden of Disease study spanning from 1990 to 2019. The analysis involved utilizing a comprehensive and systematic approach, incorporating data from multiple sources, including population-based surveys, disease registries, health care databases, and vital statistics. Age-specific and sex-specific incidence rates, mortality rates, and DALYs were calculated for each specific hematological disorder. Advanced statistical modeling techniques, including time series analysis and predictive modeling, were employed to estimate future trends. The projections took into account demographic changes, epidemiological transitions, and advancements in medical technology. Results: The projections for the next decade indicate a varied trend in the age-standardized incidence, mortality, and disability-adjusted life year (DALY) rates of hematological malignancies globally. By 2030, the incidence rates per 100,000 individuals are expected to rise to 0.045 for multiple myeloma (EAPC = 1.70%), 0.016 for leukemia (EAPC = 0.79%), 0.012 for non-Hodgkin lymphoma (EAPC = 1.65%), and 0.002 for Hodgkin lymphoma (EAPC = 0.55%). The global age-standardized mortality rates associated with hematological malignancies show a differential trend. The mortality rates per 100,000 population are projected to increase to 0.016 for multiple myeloma (EAPC = 1.68%) and 0.008 for leukemia (EAPC = 0.40%). On the other hand, a decrease in mortality rate is expected for Hodgkin lymphoma (EAPC = -0.13%), while non-Hodgkin lymphoma exhibits a rise in mortality rate to 0.007 (EAPC = 1.31%). Similarly, the DALY rates per 100,000 population are expected to increase to 0.242 for multiple myeloma (EAPC = 1.54%) and 0.174 for non-Hodgkin lymphoma (EAPC = 0.90%). In contrast, the DALY rates for leukemia and Hodgkin lymphoma are projected to decrease to 0.248 (EAPC = -0.62%) and 0.023 (EAPC = -0.50%), respectively. In terms of geographical distribution, China is expected to face a considerable surge in the total number of hematological malignancy cases, with an estimate of approximately 859,692 cases by 2030. Globally, the total number of hematological malignancy cases is projected to reach approximately 4,634,937. The projected total number of hematological malignancy cases by 2030 across different levels of SDI are as follows: 1,113,313 cases in high-SDI areas, 1,004,403 cases in high-middle SDI areas, 475,496 cases in low-SDI areas, 795,475 cases in low-middle SDI areas, and 1,244,424 cases in middle-SDI areas. Conclusions: The projected global trends in hematological malignancies highlight the urgent need for comprehensive strategies to address this growing burden. Prevention and early detection programs should be strengthened to mitigate the increasing incidence of these malignancies . Accurate diagnosis, appropriate management, and access to affordable treatments are crucial for improving patient outcomes. Health care systems must allocate adequate resources, including health care infrastructure, skilled health care professionals, and specialized services, to effectively manage the growing impact of hematological malignancies . Furthermore, collaboration among health care providers, researchers, policy-makers, and patient advocacy groups is essential to develop and implement evidence-based strategies that can alleviate the future challenges posed by hematological malignancies.
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
刚刚
田様应助Prof.Z采纳,获得10
3秒前
快乐含蕾发布了新的文献求助10
7秒前
小马完成签到,获得积分10
9秒前
13秒前
caca完成签到,获得积分0
31秒前
共享精神应助Prof.Z采纳,获得10
35秒前
lezbj99完成签到,获得积分10
41秒前
xingsixs完成签到 ,获得积分10
45秒前
111完成签到,获得积分10
46秒前
meixinhu完成签到,获得积分10
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
第八维发布了新的文献求助10
1分钟前
ccc发布了新的文献求助10
1分钟前
小蘑菇应助ccc采纳,获得10
2分钟前
2分钟前
1111发布了新的文献求助10
2分钟前
miaomiao123完成签到 ,获得积分10
2分钟前
2分钟前
拼搏姒发布了新的文献求助10
2分钟前
grs完成签到 ,获得积分10
2分钟前
熊猫完成签到 ,获得积分10
3分钟前
科目三应助juanjuan采纳,获得10
3分钟前
3分钟前
1111发布了新的文献求助10
3分钟前
3分钟前
5555完成签到,获得积分10
3分钟前
Prof.Z发布了新的文献求助10
3分钟前
科研通AI6.2应助juanjuan采纳,获得10
3分钟前
3分钟前
3分钟前
快乐含蕾发布了新的文献求助10
3分钟前
4分钟前
Koi完成签到 ,获得积分10
4分钟前
今后应助快乐含蕾采纳,获得10
4分钟前
4分钟前
斯文宛秋发布了新的文献求助10
4分钟前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
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 6471930
求助须知:如何正确求助?哪些是违规求助? 8275933
关于积分的说明 17646185
捐赠科研通 5550704
什么是DOI,文献DOI怎么找? 2909374
邀请新用户注册赠送积分活动 1886159
关于科研通互助平台的介绍 1737057