Evidence map›Paper›PMID 38110593›Full record

ArticleJournal of exposure science & environmental epidemiology2024

Hyper-local to regional exposure contrast of source-resolved PM

Provat K Saha, Albert A Presto, Allen L Robinson

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Provat K SahaCenter for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.
Albert A PrestoCenter for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.
Allen L RobinsonCenter for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, PA, 15213, USA. allen.robinson@colostate.edu.

Funding

Single cell, multi-parametric high throughput platform to classify endocrine disruptor potential of mixturesP42ES027704 · NIEHS · TEXAS A&M UNIVERSITY · PI Weihsueh A Chiu · 2017 to 2026
$21.2M
NIEHS NIH HHS P42 ES027704
6 · The paper itself

Abstract

backgroundImproved understanding of sources and processes that drive exposure contrast of fine particulate matter (PM

objectiveWe investigate the contribution of various sources and processes to PM

methodsWe consider three cases: exposure contrast within a metro area, nationwide exposure contrast with high spatial resolution, and nationwide exposure contrast with low spatial resolution. Using national empirical model estimates of source- and chemically specific PM

resultsAt the metro level (i.e., metropolitan statistical area; MSA), exposure contrasts of PM IMPACT: Our study provides a comprehensive analysis of the sources and processes that contribute to exposure contrasts of PM

Indexed as

Air PollutantsAir PollutionEnvironmental ExposureEnvironmental MonitoringParticulate MatterHumansParticle SizeSpatial AnalysisUnited StatesAir PollutantsParticulate MatterAir PollutionEnvironmental MonitoringEpidemiologyParticulate Matter

Identifiers

PMID38110593
PMCPMC11758853

What OpenQuestion holds

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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.