Evidence map›Paper›PMID 39878377›Full record

ArticleEuropean journal of neurology2025

Cross-Country Inequalities in Disease Burden and Quality of Care of Stroke, 1990-2021: A Systematic Analysis of the Global Burden of Disease Study 2021.

Zeyu Luo, Denan Jiang, Shiyi Shan, Jiali Zhou, Weidi Sun, Jing Wu, Jiayao Ying, Liying Zhou, Yajie Zhu, Peige Song and 1 more

Abstract read
In one paragraph

Article in European journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
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  4. Article
  5. Global, regional, and national burden of Early-onset Parkinson's disease: A comprehensive analysis and forecast, 1990-2021.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  6. Article
  7. Article
  8. Article
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  14. Observational
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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

11 authors.

Zeyu LuoDepartment of Big Data in Health Science, School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Denan JiangThe Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China.
Shiyi ShanDepartment of Big Data in Health Science, School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jiali ZhouDepartment of Big Data in Health Science, School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Weidi SunDepartment of Big Data in Health Science, School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jing WuDepartment of Big Data in Health Science, School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jiayao YingDepartment of Big Data in Health Science, School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Liying ZhouDepartment of Big Data in Health Science, School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yajie ZhuSchool of Information Science and Technology, Hangzhou Normal University, Zhejiang, Hangzhou, China.
Peige SongDepartment of Big Data in Health Science, School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0002-0196-9759
Kazem RahimiNuffield Department of Women's and Reproductive Health, Medical Science Division, University of Oxford, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeThis study aims to assess the disease burden and care quality along with cross-country inequalities for stroke at global, regional, and national levels from 1990 to 2021.

methodsData on stroke were extracted from the Global Burden of Disease (GBD) study 2021 for the globe, five sociodemographic index (SDI) regions, 21 GBD regions, and 204 countries/territories. The disease burden was quantified using the age-standardized disability-adjusted life years rate (ASDR). Quality of care (QoC) was evaluated through the age-standardized QoC index (QCI). To assess cross-country disparities in both disease burden and age-standardized QCI, the slope index of inequality (SII) and the concentration index were utilized.

resultsFrom 1990 to 2021, the global ASDR of stroke decreased from 3078.95 (95% uncertainty interval [UI]: 2893.58, 3237.34) to 1886.20 (95% UI: 1738.99, 2017.90) per 100,000 population, while the age-standardized QCI improved from 50.79 to 64.61. However, the results of inequalities showed worsening inequalities in both ASDR and QCI, with lower SDI countries shouldering a disproportionate burden and higher SDI countries maintaining higher QoC. The SII and concentration index for ASDR indicated a worsening inequality among lower SDI countries, with SII increasing to -2616.44 and the concentration index increasing to -0.1119 in 2021. Meanwhile, the SII and concentration index for age-standardized QCI showed a worsening inequality among higher SDI countries, with SII of 27.48 and concentration index of 0.0922 in 2021.

conclusionsDespite notable global advancements, significant disparities in stroke still exist, particularly in lower SDI regions facing high disease burdens and substandard care.

Indexed as

Cost of IllnessGlobal Burden of DiseaseHealthcare DisparitiesQuality of Health CareStrokeAgedDisability-Adjusted Life YearsFemaleGlobal HealthHumansMaleMiddle AgedQuality-Adjusted Life YearsSocioeconomic Factorsdisability‐adjusted life yearsglobal burden of diseaseinequalityquality of carestroke

Identifiers

PMID39878377
PMCPMC11775921

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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.