Evidence map›Paper›PMID 39574976›Full record

ArticleJournal of environmental health science & engineering2025

Association between particulate matter exposure and acute ischemic stroke admissions in less-polluted areas: a time-series study using a distributed lag nonlinear model.

Xiaoxiao Song, Xiaolan Huang, Jinling Li, Liming Lu, Rui Qin, Miaomiao Xu, Li Su, Lian Gu

Abstract read
In one paragraph

Article in Journal of environmental health science & engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Xiaoxiao Song *Guangxi University of Chinese Medicine, Nanning, Guangxi China.
Xiaolan Huang *School of Public Health, Guangxi Medical University, Nanning, Guangxi China.
Jinling Li *Guangxi University of Chinese Medicine, Nanning, Guangxi China.
Liming LuGuangxi University of Chinese Medicine, Nanning, Guangxi China.
Rui QinGuangxi University of Chinese Medicine, Nanning, Guangxi China.
Miaomiao XuGuangxi University of Chinese Medicine, Nanning, Guangxi China.
Li Su *School of Public Health, Guangxi Medical University, Nanning, Guangxi China.
Lian Gu *The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, Guangxi China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: China has experienced a heavy public health burden due to the increasing incidence of ischemic stroke (IS). Few studies have evaluated the relationship between particulate matter (PM) exposure and acute ischemic stroke (AIS) in relatively less-polluted areas, and the results have been inconsistent. As a result, this study aimed to investigate and evaluate the association between PM exposure and hospitalizations for AIS in an area with less air pollution. Methods: Through collecting daily AIS hospitalizations, air pollution data and meteorological data from July 1, 2017 to June 30, 2020 in Nanning, this paper explored the association between short-term exposure to PM (PM Results: During the study period, a total of 2382 patients were admitted to hospital with AIS, with the ratio of male to female reached 2.03: 1. No statistical association was found between PM exposure and AIS admissions in the total population. Subgroup analysis showed that PM Conclusions: Short-term exposure to ambient PM was not associated with hospital admissions for AIS in the general population, but males and young adults (aged < 65 years) were more susceptible to PM exposure. Even in areas with relatively low air pollution, appropriate measures should be adopted to intervene in the adverse effects of air pollution on vulnerable populations. Supplementary Information: The online version contains supplementary material available at 10.1007/s40201-024-00926-w.

Indexed as

Acute ischemic strokeDLNMHospital admissionsLess-polluted areasParticulate matter

Identifiers

PMID39574976
PMCPMC11576701

What Socratic holds

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Registered trials

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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.