Evidence map›Paper›PMID 30399151›Full record

ArticlePloS one2018

Ambient fine particulate pollution and daily morbidity of stroke in Chengdu, China.

Wei Zeng, Yingcong Zhang, Liang Wang, Yonglan Wei, Rong Lu, Jinjie Xia, Bing Chai, Xian Liang

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Association between low-concentration PMFrontiers in public health · 2025
    Article
  10. Observational
  11. Review
  12. Article
  13. Article
  14. Article
  15. Short-term exposure to air pollution and occurrence of emergency stroke in Chongqing, China.International archives of occupational and environmental health · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Article
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.

Wei ZengChengdu Center for Diseases Control and Prevention, Chengdu, Sichuan, P.R. China.ORCID 0000-0002-4287-7877
Yingcong ZhangChengdu Center for Diseases Control and Prevention, Chengdu, Sichuan, P.R. China.
Liang WangChengdu Center for Diseases Control and Prevention, Chengdu, Sichuan, P.R. China.
Yonglan WeiChengdu Center for Diseases Control and Prevention, Chengdu, Sichuan, P.R. China.
Rong LuChengdu Center for Diseases Control and Prevention, Chengdu, Sichuan, P.R. China.
Jinjie XiaChengdu Center for Diseases Control and Prevention, Chengdu, Sichuan, P.R. China.
Bing ChaiChengdu Tianfu New Area Center for Diseases Control and Prevention, Chengdu, Sichuan, P.R. China.
Xian LiangChengdu Center for Diseases Control and Prevention, Chengdu, Sichuan, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAssociation has been reported between ambient fine particulate matter (PM) and adverse outcomes of cerebrovascular events. However, it remains unclear that whether short-term exposure to PM relates to stroke and the lag of health effects. This triggers us to examine the relationship between PM and population stroke morbidity in Chengdu.

methodsThe daily average concentration of atmospheric pollutants and meteorological factors and daily morbidity of stroke in Chengdu (2013-2015) were collected. Based on time series analysis-generalized additive models (GAM), single-pollutant, two-pollutant and multi-pollutant model were established. The effects of atmospheric PM2.5 (defined as PM less than 2.5μm in aerodynamic diameter), PMc(defined as PM less than 10μm and more than 2.5μm in aerodynamic diameter) and PM10 (defined as PM less than 10μm in aerodynamic diameter) concentration on the daily mortality of stroke were analyzed, respectively.

resultsThe three-year mean concentrations of PM2.5, PMc and PM10 for air pollutants were 75.9, 43.9 and 119.7 μg/m3, respectively. PM2.5 on the current day (lag0) and with a moving average of 0-1 days were significantly associated with the increasing risk of stroke morbidity, and PM2.5 with a lag of 0-1 days had greater association, whereas for PMc and PM10 there were no significant association observed. In our study, every 10μg/m3 increase of PM2.5 was associated with 0.69% percent change in stroke morbidity (95%CI: 0.01~1.38). For females, every 10μg/m3 increase of PM2.5 contributes to 0.80% percent change of onset. And for the group of age less than 65, we observed 0.78% higher risk every 10μg/m3 increase of PM2.5.

conclusionsThese findings suggest that short-term exposure to PM2.5 within 1 day is associated with the onset of stroke, and the younger people (age<65) and females are more sensitive than older people and males.

Indexed as

MorbidityAgedAir PollutantsChinaEnvironmental ExposureEnvironmental PollutionFemaleHumansMiddle AgedParticulate MatterRisk FactorsStrokeAir PollutantsParticulate Matter

Identifiers

PMID30399151
PMCPMC6219788

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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.