Evidence map›Paper›PMID 40927826›Full record

ArticleMuscle & nerve2025

The Burden of Motor Neuron Diseases in the United States, 1990-2021: A Systematic Analysis of the Global Burden of Disease Study 2021.

Yun-Seo Oh, Raon Jung, Dong Keon Yon, Min-Seo Kim, Joon-Ho Shin, Jae Il Shin, Tae-Jin Song

Abstract read
In one paragraph

Article in Muscle & nerve, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Diverging trends in motor neuron disease burden in China: an ageing-driven increase despite declining age-standardised rates - a GBD 2021 analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
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  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yun-Seo OhDepartment of Medicine, Ewha Womans University College of Medicine, Seoul, South Korea.
Raon JungDepartment of Medicine, Ewha Womans University College of Medicine, Seoul, South Korea.
Dong Keon YonCenter for Digital Health, Medical Science Research Institute, Kyung Hee University, Medical Center, Kyung Hee University, College of Medicine, Seoul, South Korea.ORCID https://orcid.org/0000-0003-1628-9948
Min-Seo KimMedical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Joon-Ho ShinDepartment of Rehabilitation Medicine, National Rehabilitation Center, Ministry of Health and Welfare, Seoul, South Korea.
Jae Il ShinDepartment of Pediatrics, Yonsei University College of Medicine, Seoul, South Korea.ORCID https://orcid.org/0000-0003-2326-1820
Tae-Jin SongDepartment of Neurology, Seoul Hospital, Ewha Womans University College of Medicine, Seoul, South Korea.ORCID https://orcid.org/0000-0002-9937-762X

Funding

Australian National Health and Medical Research CouncilBill and Melinda Gates FoundationBK21 FOUR (Fostering Outstanding Universities for Research) funded by the Ministry of Education (MOE, Korea) and National Research Foundation of Korea (NRF-5199990614253, Education Research Center for 4IR-Based Health Care).Institute for Information & Communications Technology Planning & Evaluation (IITP) IITP-2024-RS-2024-00438239Korea Health Industry Development InstituteKorean government (MSIT) TJS (RS-2022-II220621Korean Health Industry Development Institute (KHIDI)Ministry of Education (MOE, Korea)Ministry of Health & Welfare, South Korea HI22C073600Ministry of Health & Welfare, South Korea RS-2023-00262087Ministry of Science and ICT, South KoreaNational Research Foundation of Korea NRF-5199990614253Queensland Department of Health, AustraliaYonsei Fellowship
6 · The paper itself

Abstract

INTRODUCTION/

aimsThere is a lack of up-to-date information on the burden of motor neuron diseases (MNDs) in the United States (US). This study aimed to estimate trends in the prevalence, incidence, mortality, and disability-adjusted life years (DALYs) for MNDs in the US from 1990 to 2021.

methodsWe performed a secondary analysis of MNDs in the US using estimates of prevalence, incidence, and mortality obtained from analyses of the Global Burden of Disease 2021 dataset. These data were generated using DisMod-MR 2.1, a Bayesian meta-regression tool. Estimates were analyzed by age group, sex, region, and sociodemographic index (SDI).

resultsIn 2021, the age-standardized prevalence rate of MNDs in the US was 8.82 (95% uncertainty interval, 7.96-9.74) per 100,000, a 12.89% (3.10-23.66) increase from 1990 (7.82 per 100,000). Age-standardized MND-related DALY and mortality rates in 2021 were 41.36 (39.47-42.94) and 1.49 (1.38-1.56) per 100,000, respectively, increases of 4.14% (0.41%-7.68%) and 18.34% (13.86%-22.70%) compared to 1990. Geographic disparities were observed, with the West North Central reporting the highest DALY rates and the Middle Atlantic showing the lowest. The burden of MNDs was consistently greater in males across all metrics, with a male-to-female ratio of approximately 1.4:1. SDI was negatively correlated with age-standardized DALYs, years of life lost, and mortality rates. DISCUSSION: The observed burden of MNDs in the US highlights the necessity for targeted public health interventions; equitable resource distribution; and further research into environmental, genetic, and sociodemographic factors that contribute to MNDs.

Indexed as

Cost of IllnessGlobal Burden of DiseaseMotor Neuron DiseaseAdolescentAdultAgedAged, 80 and overChildChild, PreschoolDisability-Adjusted Life YearsFemaleHumansIncidenceInfantMaleMiddle Agedamyotrophic lateral sclerosisdisease burdenincidencemotor neuron diseasesprevalence

Identifiers

PMID40927826
PMCPMC12529030

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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.