Evidence map›Paper›PMID 30334919›Full record

ArticleEpidemiology (Cambridge, Mass.)2019

Ambient Particulate Matter and Paramedic Assessments of Acute Diabetic, Cardiovascular, and Respiratory Conditions.

Fay H Johnston, Farhad Salimi, Grant J Williamson, Sarah B Henderson, Jiayun Yao, Martine Dennekamp, Karen Smith, Michael J Abramson, Geoffrey G Morgan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
–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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Assessing PMEnvironmental science and pollution research international · 2021
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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

9 authors.

Fay H JohnstonFrom the Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.
Farhad SalimiFrom the Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.
Grant J WilliamsonSchool of Biological Science, University of Tasmania, Hobart, Tasmania, Australia.
Sarah B HendersonBritish Columbia Centre for Disease Control, Vancouver, British Columbia, Canada.
Jiayun YaoSchool of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada.
Martine DennekampSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Karen SmithSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Michael J AbramsonSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Geoffrey G MorganUniversity Centre of Rural Health, North Coast School of Public Health, University of Sydney, New South Wales, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmbulance data provide a useful source of population-based and spatiotemporally resolved information for assessing health impacts of air pollution in nonhospital settings. We used the clinical records of paramedics to quantify associations between particulate matter (PM2.5) and diabetic, cardiovascular, and respiratory conditions commonly managed by those responding to calls for emergency ambulance services.

methodsWe evaluated 394,217 paramedic assessments from three states in Southeastern Australia (population 13.2 million) and daily PM2.5 concentrations modeled at 5 km resolution from 2009 to 2014. We used a time-stratified, case-crossover analysis adjusted for daily meteorology to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) for each clinical outcome per 10 µg/m increase in daily PM2.5 at lags from 0 to 2 days.

resultsIncreased PM2.5 was associated with increased odds of paramedic assessments of hypoglycemia (OR = 1.07; 95% CI = 1.02, 1.12, lag 0), arrhythmia (OR = 1.05; 95% CI = 1.02, 1.09, lag 0), heart failure (OR = 1.07; 95% CI = 1.02, 1.12, lag 1), faint (OR = 1.09; 95% CI = 1.04-1.13, lag 0), asthma (OR = 1.06; 95% CI = 1.01, 1.11, lag 1), chronic obstructive pulmonary disease (OR = 1.07; 95% CI = 1.01, 1.13, lag 1), and croup (OR = 1.09; 95% CI = 1.02, 1.17). We did not identify associations with cerebrovascular outcomes.

conclusionsAmbulance data enable the evaluation of important clinical syndromes that are often initially managed in nonhospital settings. Daily PM2.5 was associated with hypoglycemia, faint, and croup in addition to the respiratory and cardiovascular outcomes that are better established.

Indexed as

Environmental ExposureAllied Health PersonnelAmbulancesAustraliaCardiovascular DiseasesDiabetes MellitusHumansParticulate MatterRespiratory Tract DiseasesParticulate Matter

Identifiers

PMID30334919
PMCPMC6276863

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.