Evidence map›Paper›PMID 27621827›Full record

ArticleOpen heart

Myocardial infarction, ST-elevation and non-ST-elevation myocardial infarction and modelled daily pollution concentrations: a case-crossover analysis of MINAP data.

Barbara K Butland, Richard W Atkinson, Ai Milojevic, Mathew R Heal, Ruth M Doherty, Ben G Armstrong, Ian A MacKenzie, Massimo Vieno, Chun Lin, Paul Wilkinson

Open access · goldAbstract read
In one paragraph

Article in Open heart. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Air pollution and myocardial infarction in Poland.The Lancet regional health. Europe · 2024
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  4. Clustering of Environmental Parameters and the Risk of Acute Myocardial Infarction.International journal of environmental research and public health · 2022
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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

10 authors at 3 institutions in 1 country.

Barbara K ButlandPopulation Health Research Institute and MRC-PHE Centre for Environment and Health, St George's, University of London , London , UK.
Richard W AtkinsonPopulation Health Research Institute and MRC-PHE Centre for Environment and Health, St George's, University of London , London , UK.
Ai MilojevicDepartment of Social and Environmental Health Research , London School of Hygiene and Tropical Medicine , London , UK.
Mathew R HealSchool of Chemistry, University of Edinburgh , Edinburgh , UK.
Ruth M DohertySchool of GeoSciences, University of Edinburgh , Edinburgh , UK.
Ben G ArmstrongDepartment of Social and Environmental Health Research , London School of Hygiene and Tropical Medicine , London , UK.
Ian A MacKenzieSchool of GeoSciences, University of Edinburgh , Edinburgh , UK.
Massimo VienoNERC, Centre for Ecology & Hydrology, Penicuik, UK; School of GeoSciences, University of Edinburgh, Edinburgh, UK.
Chun LinSchool of Chemistry, University of Edinburgh , Edinburgh , UK.
Paul WilkinsonDepartment of Social and Environmental Health Research , London School of Hygiene and Tropical Medicine , London , UK.
University of Edinburgh · GBLondon School of Hygiene & Tropical Medicine · GBSt George's, University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate associations between daily concentrations of air pollution and myocardial infarction (MI), ST-elevation MI (STEMI) and non-ST-elevation MI (NSTEMI).

methodsModelled daily ground-level gaseous, total and speciated particulate pollutant concentrations and ground-level daily mean temperature, all at 5 km×5 km horizontal resolution, were linked to 202 550 STEMI and 322 198 NSTEMI events recorded on the England and Wales Myocardial Ischaemia National Audit Project (MINAP) database. The study period was 2003-2010. A case-crossover design was used, stratified by year, month and day of the week. Data were analysed using conditional logistic regression, with pollutants modelled as unconstrained distributed lags 0-2 days. Results are presented as percentage change in risk per 10 µg/m(3) increase in the pollutant relevant metric, having adjusted for daily mean temperature, public holidays, weekly influenza consultation rates and a sine-cosine annual cycle.

resultsThere was no evidence of an association between MI or STEMI and any of O3, NO2, PM2.5, PM10 or selected PM2.5 components (sulfate and elemental carbon). For NSTEMI, there was a positive association with daily maximum 1-hour NO2 (0.27% (95% CI 0.01% to 0.54%)), which persisted following adjustment for O3 and adjustment for PM2.5. The association appeared to be confined to the midland and southern regions of England and Wales.

conclusionsThe study found no evidence of an association between the modelled pollutants (including components) investigated and STEMI but did find some evidence of a positive association between NO2 and NSTEMI. Confirmation of this association in other studies is required.

Indexed as

Air pollutionNO<sub>2</sub>PM

Identifiers

PMID27621827
PMCPMC5013456
OpenAlexW2512593185

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.