Evidence map›Paper›PMID 30906916›Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2018

Associations between multipollutant day types and select cardiorespiratory outcomes in Columbia, South Carolina, 2002 to 2013.

John L Pearce, Brian Neelon, Matthew Bozigar, Kelly J Hunt, Adwoa Commodore, John Vena

Open access · goldAbstract read
In one paragraph

Article in Environmental epidemiology (Philadelphia, Pa.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 35% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Linking mixtures of air pollution exposures and preterm birth with a self-organizing map.Journal of exposure science & environmental epidemiology · 2026
    Article
  4. Article
  5. 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

6 authors at 1 institution in 1 country.

John L PearceDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina.
Brian NeelonDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina.
Matthew BozigarDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina.
Kelly J HuntDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina.
Adwoa CommodoreDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina.
John VenaDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina.
Medical University of South Carolina · US

Funding

Novel Approaches for Linking Air Quality Mixtures, Climate, and Human HealthR00ES023475 · NIEHS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI PEARCE, JOHN LANIER · 2014 to 2016
$726k
Novel Approaches for Linking Air Quality Mixtures, Climate, and Human HealthK99ES023475 · NIEHS · EMORY UNIVERSITY · PI PEARCE, JOHN LANIER · 2013 to 2013
$127k
NIEHS NIH HHS K99 ES023475NIEHS NIH HHS R00 ES023475
6 · The paper itself

Abstract

backgroundHealth studies of air pollution are increasingly aiming to study associations between air pollutant mixtures and health.

objectiveEstimate associations between observed combinations of ambient air pollutants and select cardiorespiratory outcomes in Columbia, SC during 2002 to 2013.

methodsWe estimate associations using a two-stage approach. First, we identified a collection of observed pollutant combinations, which we define as multipollutant day types (MDTs), by applying a self-organizing map (SOM) to daily measures of nitrogen dioxide (NO

resultsWe found that a number of MDTs were significantly and positively associated (point estimates ranged from~2-5%) with cardiorespiratory outcomes in Columbia when compared to days with low pollution. Estimated associations revealed that outcomes for asthma, URIs, and IHD increased 2-4% on warm, dry days experiencing elevated levels of O

conclusionOur analysis continues support for using self-organizing maps to develop multipollutant exposure metrics and further illustrates how such metrics can be applied to explore associations between pertinent pollutant combinations and health.

Indexed as

AsthmaCardiovascularColumbiaKohonenMixturesMultipollutantPulmonarySelf-organizing maps

Identifiers

PMID30906916
PMCPMC6426330
OpenAlexW2897542424

What OpenQuestion holds

Textmetadata
LicenceTDM
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.