Global, regional, and national burdens of leukemia from 1990 to 2019: A systematic analysis of the global burden of disease in 2019 based on the APC model

IF 2.9 2区医学 Q2 ONCOLOGY Cancer Medicine Pub Date : 2024-09-09 DOI:10.1002/cam4.7150

Xiang Qu, Anjie Zheng, Jie Yang, Jinru Zhang, Hongmei Qiao, Fan Jiang, Jie Zhao, Chunping Wang, Peng Ning

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Abstract

Background

Leukemia is the tenth most common cause of cancer death worldwide and one of the most important causes of disability. To understand the current status and changing trends of the disease burden of leukemia at the global, regional, and national levels, and to provide a scientific basis for the development of leukemia prevention and treatment strategies.

Methods

Based on open data from the Global Burden of Disease Study 2019 (GBD 2019), R software was used to calculate estimated annual percentage changes to estimate trends in the age-standardized incidence (ASIR) and the age-standardized disability-adjusted life years (DALY) rate due to leukemia and its major subtypes from 1990 to 2019.

Results

In 2019, globally, the number of incidences and DALYs of leukemia were 643.6 × 10³ (587.0 × 10³, 699.7 × 10³) and 11,657.5 × 10³ (10529.1 × 10³, 12700.7 × 10³), respectively. The ASIR (estimated annual percentage change (EAPC) = −0.37, 95%UI −0.46 to −0.28) and the age-standardized DALY rate (EAPC = −1.72, 95%UI −1.80 to −1.65) of leukemia showed a decreasing trend from 1990 to 2019. The APC model analysis showed that the age effect of leukemia risk was a “U”-shaped distribution of relative risk (RR) with increasing age from 1990 to 2019, globally. The time effect was an increase in incidence rate with increasing years but a decrease in DALY rate with increasing years. The cohort effects of both incidence and DALY rates tended to increase and then decrease with the development of the birth cohort. In 1990 and 2019, smoking, high body-mass index, occupational exposure to benzene, and occupational exposure to formaldehyde were risk factors for DALY in leukemia, especially in areas with high SDI.

Conclusions

From 1990 to 2019, the disease burden of leukemia showed a decreasing trend, but it is worth noting that its overall severity is still very high. The disease burden of leukemia varies greatly from region to region, and exclusive strategies for the prevention and treatment of leukemia should be developed according to the economic and cultural development of each region.

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1990 年至 2019 年全球、地区和国家的白血病负担：基于 APC 模型的 2019 年全球疾病负担系统分析。

背景：白血病是全球第十位最常见的癌症死因，也是导致残疾的最重要原因之一。了解全球、地区和国家层面白血病疾病负担的现状和变化趋势，为制定白血病防治策略提供科学依据：方法：基于《2019年全球疾病负担研究》（GBD 2019）的公开数据，使用R软件计算每年的估计百分比变化，以估算1990年至2019年白血病及其主要亚型导致的年龄标准化发病率（ASIR）和年龄标准化残疾调整生命年（DALY）的变化趋势：2019年，全球白血病发病人数和残疾调整寿命年数分别为643.6×103（587.0×103，699.7×103）和11657.5×103（10529.1×103，12700.7×103）。从1990年到2019年，白血病的ASIR（估计年百分比变化（EAPC）=-0.37，95%UI为-0.46至-0.28）和年龄标准化残疾调整寿命年率（EAPC=-1.72，95%UI为-1.80至-1.65）呈下降趋势。APC 模型分析表明，从 1990 年到 2019 年，全球范围内白血病风险的年龄效应呈 "U "形分布，相对风险（RR）随着年龄的增加而增加。时间效应是发病率随着年数的增加而增加，但残疾调整寿命年数率随着年数的增加而降低。随着出生队列的发展，发病率和残疾调整寿命率的队列效应呈先增后减的趋势。在1990年和2019年，吸烟、高体重指数、职业性接触苯和职业性接触甲醛是白血病DALY的风险因素，尤其是在SDI较高的地区：从 1990 年到 2019 年，白血病的疾病负担呈下降趋势，但值得注意的是，其总体严重程度仍然很高。不同地区的白血病疾病负担差异较大，应根据各地区的经济和文化发展情况制定白血病防治的专属策略。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Cancer Medicine ONCOLOGY-

CiteScore

5.50

自引率

2.50%

发文量

907

审稿时长

19 weeks

期刊介绍： Cancer Medicine is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research from global biomedical researchers across the cancer sciences. The journal will consider submissions from all oncologic specialties, including, but not limited to, the following areas: Clinical Cancer Research Translational research ∙ clinical trials ∙ chemotherapy ∙ radiation therapy ∙ surgical therapy ∙ clinical observations ∙ clinical guidelines ∙ genetic consultation ∙ ethical considerations Cancer Biology: Molecular biology ∙ cellular biology ∙ molecular genetics ∙ genomics ∙ immunology ∙ epigenetics ∙ metabolic studies ∙ proteomics ∙ cytopathology ∙ carcinogenesis ∙ drug discovery and delivery. Cancer Prevention: Behavioral science ∙ psychosocial studies ∙ screening ∙ nutrition ∙ epidemiology and prevention ∙ community outreach. Bioinformatics: Gene expressions profiles ∙ gene regulation networks ∙ genome bioinformatics ∙ pathwayanalysis ∙ prognostic biomarkers. Cancer Medicine publishes original research articles, systematic reviews, meta-analyses, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented in the paper.