Evidence map›Paper›PMID 42179741›Full record

ArticleAmerican journal of clinical and experimental immunology2026

The Escalating Global Burden of motor neuron disease: spatiotemporal trends among older adults, affected factors, and future projections.

Yue-Yang Song, Shu-Ran Yao, Ling-Jun Li, Guang-Fu Li, Miao Sun, Qin-Qin Gao, Xue-Quan Wang

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Article in American journal of clinical and experimental immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yue-Yang SongInstitute for Fetology, The First Affiliated Hospital of Soochow University Suzhou, Jiangsu, China.
Shu-Ran YaoInstitute for Fetology, The First Affiliated Hospital of Soochow University Suzhou, Jiangsu, China.
Ling-Jun LiInstitute for Fetology, The First Affiliated Hospital of Soochow University Suzhou, Jiangsu, China.
Guang-Fu LiDepartment of Pharmacy, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University Taizhou, Zhejiang, China.
Miao SunInstitute for Fetology, The First Affiliated Hospital of Soochow University Suzhou, Jiangsu, China.
Qin-Qin GaoInstitute for Fetology, The First Affiliated Hospital of Soochow University Suzhou, Jiangsu, China.
Xue-Quan WangLaboratory of Cellular and Molecular Radiation Oncology, Department of Radiation Oncology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University Taizhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMotor Neuron Disease (MND) is an increasing social health issue, in the cases of adults above 50 years of age, which requires the examination of its multidimensional burden, the spatiotemporal patterns, and the factors that contribute to it.

methodsWe estimated age-standardized prevalence (ASPR), incidence (ASIR), mortality (ASMR), disability-adjusted life years (ASDR), and years lived with disability (ASYLDs) and years of life lost (ASYLLs) in adults aged 50 and older based on Global Burden of Disease (GBD) data 1990-2021. The correlation between Socio-demographic Index (SDI) and disease burden was sought through the analysis of correlation; the relationship between temporal changes and the gave way to joinpoint regression and the Bayesian age-period-cohort (BAPC) models to determine future disease burden.

resultsThe number of MND cases and age-standardized rates (ASRs) increased substantially over the period 1990-2021 with YLLs making up over 95 percent of DALYs. The highest burden was 75-84 years, with the males having a skewed burden. There were positive relationships between SDI where high-SDI regions (such as Australasia, North America, Western Europe) had the greatest burdens. The burdens were highest in Finland, Ireland and Sweden; the smallest countries recorded steep increases in Lithuania and Costa Rica. The analysis of joinpoint showed that global ASIR on the increase (1995-2005) then decreased (2019-2021), high-SDI areas recorded consistent growth. BAPC forecasted the increase in the number of cases even after minimal decrease in ASRs by 2040.

interpretationThe problem of the increasing burden of MND fueled by the aging population and negative prognosis highlights the inequalities between the strata in terms of SDI. The ability to treat increases the burdens in high-income regions. The focus on surveillance, fair prevention, and resources distribution is important. The paper has emphasized the importance of international cooperation to help reduce disparities associated with SDI and maximize interventions.

Indexed as

aging populationGlobal Burdenmotor neuron diseasespatiotemporal dynamics

Identifiers

PMID42179741
PMCPMC13194087

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.