Evidence map›Paper›PMID 26942767›Full record

ArticlePloS one2016

Acute Effects of Particulate Air Pollution on the Incidence of Coronary Heart Disease in Shanghai, China.

Xiaofang Ye, Li Peng, Haidong Kan, Weibing Wang, Fuhai Geng, Zhe Mu, Ji Zhou, Dandan Yang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
8.6field-weighted citation impact, top 2% of its field
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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 79 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
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  6. Article
  7. A Time Series Study for Effects of PMInternational journal of environmental research and public health · 2022
    Article
  8. Effect modification by sex for associations of fine particulate matter (PMEnvironmental research letters : ERL [Web site] · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Racial Difference in the Association of Long-Term Exposure to Fine Particulate Matter (PMInternational journal of environmental research and public health · 2021
    Article
  15. Diurnal variability of fine-particulate pollution concentrations: data from 14 low- and middle-income countries.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2021
    Article
  16. Article
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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

8 authors at 2 institutions in 1 country.

Xiaofang YeDepartment of Environment Health, School of Public Health, Fudan University, Shanghai, China.
Li PengShanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China.
Haidong KanSchool of Public Health and Key Laboratory of Public Health Safety (Ministry of Education), Fudan University, Shanghai, China.
Weibing WangSchool of Public Health and Key Laboratory of Public Health Safety (Ministry of Education), Fudan University, Shanghai, China.
Fuhai GengShanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China.
Zhe MuShanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China.
Ji ZhouShanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China.
Dandan YangShanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Service, Shanghai, China.
Shanghai Meteorological Bureau · CNFudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEvidence based on ecological studies in China suggests that short-term exposure to particulate matter (PM) is associated with cardiovascular mortality. However, there is less evidence of PM-related morbidity for coronary heart disease (CHD) in China. This study aims to investigate the relationship between acute PM exposure and CHD incidence in people aged above 40 in Shanghai.

methodsDaily CHD events during 2005-2012 were identified from outpatient and emergency department visits. Daily average concentrations for particulate matter with aerodynamic diameter less than 10 microns (PM10) were collected over the 8-year period. Particulate matter with aerodynamic diameter less than 2.5 microns (PM2.5) were measured from 2009 to 2012. Analyses were performed using quasi-poisson regression models adjusting for confounders, including long-term trend, seasonality, day of the week, public holiday and meteorological factors. The effects were also examined by gender and age group (41-65 years, and >65 years).

resultsThere were 619928 CHD outpatient and emergency department visits. The average concentrations of PM10 and PM2.5 were 81.7 μg/m3 and 38.6 μg/m3, respectively. Elevated exposure to PM10 and PM2.5 was related with increased risk of CHD outpatients and emergency department visits in a short time course. A 10 μg/m3 increase in the 2-day PM10 and PM2.5 was associated with increase of 0.23% (95% CI: 0.12%, 0.34%) and 0.74% (95% CI: 0.44%, 1.04%) in CHD morbidity, respectively. The associations appeared to be more evident in the male and the elderly.

conclusionShort-term exposure to high levels of PM10 and PM2.5 was associated with increased risk of CHD outpatient and emergency department visits. Season, gender and age were effect modifiers of their association.

Indexed as

Air PollutionChinaCoronary Artery DiseaseEmergency Service, HospitalHumansIncidenceOutpatientsParticle SizeParticulate MatterParticulate Matter

Identifiers

PMID26942767
PMCPMC4778855
OpenAlexW2289322415

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.