ReviewCurrent environmental health reports2015
Current Methods and Challenges for Epidemiological Studies of the Associations Between Chemical Constituents of Particulate Matter and Health.
Review in Current environmental health reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Associations between Size-Specific Particulate Matter and Lung Function: Results from the China Pulmonary Health Study.Environment & health (Washington, D.C.) · 2026Article
- Hyper-local to regional exposure contrast of source-resolved PMJournal of exposure science & environmental epidemiology · 2024Article
- Long-term exposure to ambient fine particulate matter chemical composition and in-hospital case fatality among patients with stroke in China.The Lancet regional health. Western Pacific · 2023Article
- National Exposure Models for Source-Specific Primary Particulate Matter Concentrations Using Aerosol Mass Spectrometry Data.Environmental science & technology · 2022Article
- DNA methylation: a potential mediator between air pollution and metabolic syndrome.Clinical epigenetics · 2022Review
- Application of Bayesian Additive Regression Trees for Estimating Daily Concentrations of PMAtmosphere · 2020Article
- Source-specific pollution exposure and associations with pulmonary response in the Atlanta Commuters Exposure Studies.Journal of exposure science & environmental epidemiology · 2018Article
- Recent Approaches to Estimate Associations Between Source-Specific Air Pollution and Health.Current environmental health reports · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Epidemiological studies have been critical for estimating associations between exposure to ambient particulate matter (PM) air pollution and adverse health outcomes. Because total PM mass is a temporally and spatially varying mixture of constituents with different physical and chemical properties, recent epidemiological studies have focused on PM constituents. Most studies have estimated associations between PM constituents and health using the same statistical methods as in studies of PM mass. However, these approaches may not be sufficient to address challenges specific to studies of PM constituents, namely assigning exposure, disentangling health effects, and handling measurement error. We reviewed large, population-based epidemiological studies of PM constituents and health and describe the statistical methods typically applied to address these challenges. Development of statistical methods that simultaneously address multiple challenges, for example, both disentangling health effects and handling measurement error, could improve estimation of associations between PM constituents and adverse health outcomes.
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What OpenQuestion holds
Registered trials
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.