Evidence mapPaperPMID 40771980Full record

ArticleFrontiers in neurology2025

Comparative analysis of different stroke subtype burden and future trends over 15 years in China and globally from 1990 to 2021.

Zeyan Zhang, Sijia Wu, Tianyu Jin, Zhixuan Duan, Xiaoxia Du

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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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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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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

2 citing papers in PubMed.

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4 · The record

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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

5 authors.

Zeyan Zhang *School of Rehabilitation, Capital Medical University, Beijing, China.
Sijia Wu *Department of Oral and Maxillofacial-Head and Neck Oncology, Beijing Stomatological Hospital, School of Stomatology, Capital Medical University, Beijing, China.
Tianyu JinDepartment of Rehabilitation Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Zhixuan DuanSchool of Rehabilitation, Capital Medical University, Beijing, China.
Xiaoxia DuSchool of Rehabilitation, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to characterize the temporal trends in the burden of various stroke subtypes, including incidence, prevalence, mortality, and disability-adjusted life years (DALYs), across different age and sex groups in China from 1990 to 2021 and compare these trends with global data. Methods: This study utilizes data from the Global Burden of Disease (GBD) 2021 public dataset to examine temporal trends in different stroke subtypes over the past three decades, both globally and in China. Joinpoint regression and autoregressive integrated moving average (ARIMA) models were applied to analyze historical patterns and forecast future trajectories. Results: The age-standardized incidence rate (ASIR) and the age-standardized prevalence rate (ASPR) exhibited similar trends, with ischemic stroke (IS) showing an increase, while intracerebral hemorrhage (ICH) and subarachnoid hemorrhage (SAH) displayed a decline. The ASIR of IS in China increased from 100.049 to 135.789 per 100,000. In contrast, the ASIR for ICH decreased from 108.931 to 61.153 per 100,000, and the ASIR for SAH declined from 17.957 to 7.811 per 100,000. In terms of mortality and DLAYs, the age-standardized mortality rate (ASMR) and the age-standardized DALYs (ASDR) for IS, ICH, and SAH all declined. Globally, stroke burden decreased for all subtypes, with men generally more affected than women. The highest burden remains in older populations. Projections suggest a continued rise in IS and ICH prevalence, but a stable trend for SAH. Conclusion: In China, although the burden of most stroke subtypes has declined, IS and ICH still require sustained prevention and management efforts, particularly in light of their rising prevalence among men and the older adult.

Indexed as

disability-adjusted life years (DALYs)incidencemortalityprevalencestroke

Identifiers

PMID40771980
PMCPMC12327395

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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 Socratic graph.