ArticleJMIR public health and surveillance2026
The Evolving Burden of Stroke in China's 832 Poverty-Alleviated Counties (2019-2024): Nationwide Spatiotemporal Analysis.
Article in JMIR public health and surveillance, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Stroke remains a leading cause of death and disability in China. Despite the nationwide poverty alleviation being achieved by 2020, residents of poverty-alleviated counties continue to experience poorer health outcomes. There is a critical knowledge gap regarding the evolving spatiotemporal patterns of stroke burden in this large postpoverty population. Objective: This study aimed to quantify the longitudinal trends in stroke prevalence and incidence across all 832 poverty-alleviated counties in China from 2019 to 2024, stratified by age and sex; to characterize the spatiotemporal evolution and geographic clustering of the stroke burden; and to compare this burden in poverty-alleviated counties with that of the general Chinese population during the key transitional period from 2019 to 2021. Methods: We conducted a nationwide retrospective analysis using data from China's National Health Poverty Alleviation Dynamic Management System (NHPADMS), covering 56.08 million residents. Temporal trends were analyzed using Joinpoint regression to calculate the annual percentage change and average annual percentage change (AAPC). Spatial clustering was assessed using Global and Local Moran I. Comparative analysis used age-standardized prevalence rates, referenced against the Global Burden of Disease standard population. Results: Stroke prevalence surged markedly from 65.18 to 359.60 per 100,000 population (overall AAPC: +22.95%), with the steepest increase among adults aged 20 to 39 years (AAPC: +35.63%). Stroke incidence remained relatively stable from 2020 to 2023 but declined notably in 2024. While absolute prevalence remained lower, its growth rate in poverty-alleviated regions (+61.85%) far exceeded that in the nonpoverty-alleviated areas (+3.82%) during 2019 to 2021. Spatial analysis revealed persistent hyperendemic clusters in northern provinces (notably the Hebei-Heilongjiang-Jilin-Inner Mongolia corridor) and a significant north-south gradient. Conclusions: The stroke burden in China's poverty-alleviated counties increased sharply in recorded prevalence, exhibited a worrying shift toward younger adults, and became geographically polarized. Economic advancement has not translated into proportionate health gains. These findings underscore the urgent need for precision public health interventions that are geographically targeted and demographically tailored to address this evolving epidemic.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.