Luo Xiaobo, Xie Pin, Zhou Min, Xia Yi, Gao Yu, Li Hui
Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Department of Orthopedics, Chengdu Shuangliu Hospital of Traditional Chinese Medicine, Chengdu, China.
Front Oncol. 2025 Jun 9;15:1606627. doi: 10.3389/fonc.2025.1606627. eCollection 2025.
This study evaluated the distribution characteristics, influencing factors, and future trends of non-Hodgkin lymphoma (NHL) burden in children and adolescents globally from 1990 to 2021.
Data were obtained from the Global Burden of Disease Study database. Multiple analytical methods were used, including Joinpoint regression, age-period-cohort analysis, decomposition analysis, frontier analysis, health equity analysis, and Bayesian age-period-cohort (BAPC) model.
In 2021, the global age-standardized prevalence rate was 3.177/100,000, with a disability adjusted life year (DALY) rate of 13.535/100,000. The prevalence demonstrated a fluctuating downward trend during 1990-2021. Age, period, and cohort effects significantly influenced disease patterns. While population growth drove prevalence increase, population aging and epidemiological factors had negative impacts. Disease burden showed a non-linear negative correlation with Socio-demographic Index (SDI). Over the past nearly 30 years, health inequality has intensified, as some African regions have shown relatively low prevalence rates due to limited resource Settings, which have restricted disease diagnosis and reporting, compared with the developed areas with high prevalence. The BAPC model predicted further decrease from 2022-2036.
Despite overall decline, significant regional differences and health inequalities persist, suggesting future focus on targeted prevention, optimized resource allocation, and improved treatment.
本研究评估了1990年至2021年全球儿童和青少年非霍奇金淋巴瘤(NHL)负担的分布特征、影响因素及未来趋势。
数据来自全球疾病负担研究数据库。使用了多种分析方法,包括Joinpoint回归、年龄-时期-队列分析、分解分析、前沿分析、健康公平性分析和贝叶斯年龄-时期-队列(BAPC)模型。
2021年,全球年龄标准化患病率为3.177/10万,伤残调整生命年(DALY)率为13.535/10万。1990年至2021年期间,患病率呈波动下降趋势。年龄、时期和队列效应显著影响疾病模式。虽然人口增长推动患病率上升,但人口老龄化和流行病学因素产生了负面影响。疾病负担与社会人口指数(SDI)呈非线性负相关。在过去近30年里,健康不平等加剧,一些非洲地区由于资源有限,患病率相对较低,与高患病率的发达地区相比,这限制了疾病的诊断和报告。BAPC模型预测2022年至2036年将进一步下降。
尽管总体呈下降趋势,但显著的地区差异和健康不平等依然存在,这表明未来应着重于有针对性的预防、优化资源分配和改善治疗。