Worldwide epidemiology of paediatric multiple sclerosis: data from the Multiple Sclerosis International Federation Atlas of MS, third edition

医学 流行病学 高收入国家 多发性硬化 流行 儿科 环境卫生 发展中国家 人口学 病理 精神科 经济增长 社会学 经济
作者
Grace Gombolay,Laura Johnson,Rachel King,Madeleine Hebert,Brenda Banwell,Tanuja Chitnis,Anne Helme
出处
期刊:Journal of Neurology, Neurosurgery, and Psychiatry [BMJ]
卷期号:96 (8): 814-820 被引量:3
标识
DOI:10.1136/jnnp-2024-335175
摘要

Background Limited data are available on the global rates of paediatric multiple sclerosis. Here, we report on the estimated worldwide prevalence of paediatric MS. Methods We included paediatric prevalence data in 2020–2022 (Multiple Sclerosis International Federation Atlas of MS) and the prevalence of child neurologists (International Child Neurology Association). Data were split into prevalence bands per 100 000. Countries were classified by the WHO Region and World Bank Income. Descriptive analyses were performed. An estimated worldwide prevalence rate was calculated from the 2020–2022 paediatric prevalence data, which was adjusted to reduce outliers’ impact and to reflect worldwide income distribution. The Atlas of MS data was obtained via survey of coordinators from the countries who use different tracking methods including national registries vs crude estimates. Results Paediatric data were available in 24% (53/219) countries (38 higher and 15 lower income) with 31 420 total paediatric MS cases. In 2022, 67% (10/15) of lower income countries reported prevalence bands of ‘<1.0’ compared with 34% (13/38) of higher income countries. Only 7% (1/15) of lower income countries reported prevalence bands ‘≥3.1’compared with 34% (13/38) of higher income countries. The rates of child neurologists positively correlated with the prevalence band. In 2020–2022, the estimated global prevalence (crude) was 2.53/100 000 (95% CI 2.51 to 2.56), with an adjusted prevalence rate of 1.48/100 000 (95% CI 1.45 to 1.51). Conclusions Access to epidemiology data from resource-limited countries is challenging including surveillance for case ascertainment. Increased resources and standard methodologies will facilitate the understanding of rare disease epidemiology.

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
1秒前
英姑应助nn采纳,获得10
1秒前
Ava应助会飞的猪采纳,获得10
2秒前
3秒前
Angora发布了新的文献求助10
3秒前
MM应助violet-visible采纳,获得10
3秒前
Lily发布了新的文献求助10
3秒前
yeyeye完成签到,获得积分10
4秒前
4秒前
自由飞翔发布了新的文献求助10
4秒前
友好翠丝完成签到 ,获得积分10
6秒前
Signs完成签到 ,获得积分10
6秒前
Zoe发布了新的文献求助10
8秒前
HK发布了新的文献求助10
8秒前
8秒前
白依发布了新的文献求助10
9秒前
大模型应助yyer采纳,获得10
9秒前
9秒前
10秒前
3sigma完成签到,获得积分10
10秒前
10秒前
甜蜜弱发布了新的文献求助10
10秒前
科研助手完成签到 ,获得积分10
11秒前
11秒前
cdercder应助风趣的绿茶采纳,获得10
11秒前
竹叶青完成签到,获得积分20
14秒前
苹果发布了新的文献求助10
14秒前
徐寻绿发布了新的文献求助10
15秒前
helloWorld完成签到,获得积分10
16秒前
在水一方应助lu采纳,获得10
16秒前
ZengJY发布了新的文献求助10
16秒前
liux发布了新的文献求助10
17秒前
隐形曼青应助ydz采纳,获得10
17秒前
17秒前
17秒前
18秒前
Akim应助Zoe采纳,获得10
18秒前
细心香烟发布了新的文献求助10
19秒前
19秒前
Gavin完成签到,获得积分10
19秒前
高分求助中
(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
Geist der Kunst und Kultur 1000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
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
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
Models for the coupled atmosphere and ocean 600
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 7407052
求助须知:如何正确求助?哪些是违规求助? 9011585
关于积分的说明 19192315
捐赠科研通 7040344
什么是DOI,文献DOI怎么找? 3232501
关于科研通互助平台的介绍 2394493
邀请新用户注册赠送积分活动 2214717