Evidence map›Paper›PMID 39949791›Full record

ArticleFrontiers in neurology2025

Temporal and geographical dynamics of early-onset Parkinson's disease burden: insights from the Global Burden of Disease Study 2021.

Yong Li, Dianhui Tan, Cheng Luo, Junchen Chen

Abstract read
In one paragraph

Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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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

4 authors.

Yong LiThe First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Dianhui TanThe First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Cheng LuoThe First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Junchen ChenThe First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Early-onset Parkinson's disease (EOPD) is a rare degenerative condition of the nervous system that primarily affects individuals of working age. Its distinct clinical and genetic features make it a critical area of study in neurological research and public health. Methods and materials: This analysis utilized data from the Global Burden of Disease Study 2021, covering 371 diseases and injuries across 204 countries and territories from 1990 to 2021. The study focused on individuals aged 15-49 to characterize EOPD. Data on occurrence, frequency, mortality, and disability-adjusted life years (DALYs) were collected. Sociodemographic measures were used to analyze patterns and differences. Statistical methods, including joinpoint regression and decomposition analysis, were employed to identify temporal patterns and factors influencing variations in EOPD burden over time. Results: The global incidence of EOPD saw a significant increase between 2000 and 2009, with an average annual percentage change (AAPC) of 4.3%, continuing at a slower rate (AAPC 1.6%) from 2010 to 2021. By 2021, the incidence reached 2.1 cases per 100,000 population, up from 1.0 in 1990. Males had a higher incidence (AAPC 2.3%) compared to females (AAPC 0.8%). In 2021, 59.7% of the 81,047 global EOPD cases were male. Significant increases were observed in East Asia (AAPC 5.1%), Andean Latin America (AAPC 2.0%), and North Africa/Middle East (AAPC 1.1%), with a decline in High-income North America. China had the highest incidence in 2021 (5.17 cases per 100,000), followed by Peru and Bolivia. Saudi Arabia had the highest DALYs attributable to EOPD. The decomposition study indicated that the rise in global incidence and DALYs from 1990 to 2021 was mainly driven by epidemiological changes and population growth, with regional variations in impact. Conclusion: This global analysis highlights the need for targeted interventions and research to address gender-specific risk factors, regional disparities, and the effects of epidemiological changes on the growing EOPD burden.

Indexed as

disability-adjusted life yearsearly-onset Parkinson’s diseaseepidemiologyGlobal Burden of Disease Studysocio-demographic index

Identifiers

PMID39949791
PMCPMC11821659

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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.