Evidence map›Paper›PMID 28040377›Full record

ReviewAnnals of epidemiology2017

Current approaches used in epidemiologic studies to examine short-term multipollutant air pollution exposures.

Angel D Davalos, Thomas J Luben, Amy H Herring, Jason D Sacks

Open access · greenAbstract readReview
In one paragraph

Review in Annals of epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 9% 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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 87 citations in OpenAlex.

  1. Pooled it
  2. Mortality and Morbidity Effects of Long-Term Exposure to Low-Level PMResearch report (Health Effects Institute) · 2021
    Pooled it
  3. Workflow for Statistical Analysis of Environmental Mixtures.Environmental health perspectives · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Environmental Mixtures Analysis (E-MIX) Workflow and Methods Repository.medRxiv : the preprint server for health sciences · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Drinking Water Contaminant Concentrations and Birth Outcomes.Journal of policy analysis and management : [the journal of the Association for Public Policy Analysis and Management] · 2024
    Article
  17. Article
  18. Constrained groupwise additive index models.Biostatistics (Oxford, England) · 2023
    Article
  19. Article
  20. 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

4 authors at 3 institutions in 1 country.

Angel D DavalosDepartment of Biostatistics, University of North Carolina, Chapel Hill.
Thomas J LubenNational Center for Environmental Assessment, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, NC.
Amy H HerringDepartment of Biostatistics, University of North Carolina, Chapel Hill.
Jason D SacksNational Center for Environmental Assessment, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, NC. Electronic address: sacks.jason@epa.gov.
University of North Carolina at Chapel Hill · USEnvironmental Protection Agency · USNational Center for Environmental Assessment (EPA) · US

Funding

Biostatstics for Research in Environmental HealthT32ES007018 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel, Rebecca Fry · 1985 to 2026
$31.3M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Bayesian Methods for High-Dimensional Epidemiologic DataR01ES020619 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HERRING, AMY H · 2011 to 2015
$1.7M
NICHD NIH HHS P2C HD050924NIEHS NIH HHS R01 ES020619NIEHS NIH HHS T32 ES007018
6 · The paper itself

Abstract

purposeAir pollution epidemiology traditionally focuses on the relationship between individual air pollutants and health outcomes (e.g., mortality). To account for potential copollutant confounding, individual pollutant associations are often estimated by adjusting or controlling for other pollutants in the mixture. Recently, the need to characterize the relationship between health outcomes and the larger multipollutant mixture has been emphasized in an attempt to better protect public health and inform more sustainable air quality management decisions.

methodsNew and innovative statistical methods to examine multipollutant exposures were identified through a broad literature search, with a specific focus on those statistical approaches currently used in epidemiologic studies of short-term exposures to criteria air pollutants (i.e., particulate matter, carbon monoxide, sulfur dioxide, nitrogen dioxide, and ozone).

resultsFive broad classes of statistical approaches were identified for examining associations between short-term multipollutant exposures and health outcomes, specifically additive main effects, effect measure modification, unsupervised dimension reduction, supervised dimension reduction, and nonparametric methods. These approaches are characterized including advantages and limitations in different epidemiologic scenarios. DISCUSSION: By highlighting the characteristics of various studies in which multipollutant statistical methods have been used, this review provides epidemiologists and biostatisticians with a resource to aid in the selection of the most optimal statistical method to use when examining multipollutant exposures.

Indexed as

Epidemiologic StudiesAir PollutantsAir PollutionEnvironmental ExposureEnvironmental MonitoringHumansParticulate MatterSeasonsTime FactorsAir PollutantsParticulate MatterAir pollution health effectsDifferential effectsDimension reductionInteractionsJoint effectsMultipollutantNonparametric methods

Identifiers

PMID28040377
PMCPMC5313327
OpenAlexW2560258092

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.