Evidence map›Paper›PMID 32665795›Full record

ArticleAir quality, atmosphere, & health2018

Influential factors affecting black carbon trends at four sites of differing distance from a major highway in Las Vegas.

Sue Kimbrough, Tim Hanley, Gayle Hagler, Richard Baldauf, Michelle Snyder, Halley Brantley

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Air quality, atmosphere, & health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Sue KimbroughOffice of Research and Development, National Risk Management Research Laboratory, U.S. Environmental Protection Agency, 109 TW Alexander Dr., Research Triangle Park, NC, 27711, USA.
Tim HanleyOffice of Air Quality Planning and Standards, U.S. Environmental Protection Agency, 109 TW Alexander Dr., Research Triangle Park, NC, 27711, USA.
Gayle HaglerOffice of Research and Development, National Risk Management Research Laboratory, U.S. Environmental Protection Agency, 109 TW Alexander Dr., Research Triangle Park, NC, 27711, USA.
Richard BaldaufOffice of Transportation and Air Quality, U.S. Environmental Protection Agency, 2000 Traverwood Drive, Ann Arbor, MI, 48105, USA.
Michelle SnyderInstitute for the Environment, Center for Environmental Modeling for Policy Development, University of North Carolina, 100 Europa Dr, Chapel Hill, NC, 27517, USA.
Halley BrantleyOffice of Research and Development, National Risk Management Research Laboratory, U.S. Environmental Protection Agency, 109 TW Alexander Dr., Research Triangle Park, NC, 27711, US; And Oak Ridge Institute of Science and Education Fellow, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Elevated air pollution levels adjacent to major highways are an ongoing topic of public health concern worldwide. Black carbon (BC), a component of particulate matter (PM) emitted by diesel and gasoline vehicles, was measured continuously via a filter-based light absorption technique over ~ 16 months at four different stations positioned on a perpendicular trajectory to a major highway in Las Vegas, NV. During downwind conditions (winds from the west), BC at 20 m from the highway was 32 and 60% higher than concentrations at 100 and 300 m from the roadway, respectively. Overall highest roadside (20-m site) BC concentrations were observed during the time period of 4 a.m.-8 a.m. under low-speed variable winds (3.02 μg/m

Identifiers

PMID32665795
PMCPMC7359888

What OpenQuestion holds

Textmetadata
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.