Evidence map›Paper›PMID 35216599›Full record

ReviewParticle and fibre toxicology2022

Controlled human exposure to diesel exhaust: a method for understanding health effects of traffic-related air pollution.

Erin Long, Carley Schwartz, Christopher Carlsten

Open access · goldAbstract readReview
In one paragraph

Review in Particle and fibre toxicology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
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 at 1 institution in 1 country.

Erin LongFaculty of Medicine, University of British Columbia, 317 - 2194 Health Sciences Mall, Vancouver, BC, V6T 1Z3, Canada.
Carley SchwartzDepartment of Medicine, Division of Respiratory Medicine, University of British Columbia, 2775 Laurel Street 7th Floor, Vancouver, BC, V5Z 1M9, Canada.
Christopher CarlstenDepartment of Medicine, Division of Respiratory Medicine, University of British Columbia, 2775 Laurel Street 7th Floor, Vancouver, BC, V5Z 1M9, Canada. carlsten@mail.ubc.ca.ORCID 0000-0003-2455-6575
University of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diesel exhaust (DE) is a major component of air pollution in urban centers. Controlled human exposure (CHE) experiments are commonly used to investigate the acute effects of DE inhalation specifically and also as a paradigm for investigating responses to traffic-related air pollution (TRAP) more generally. Given the critical role this model plays in our understanding of TRAP's health effects mechanistically and in support of associated policy and regulation, we review the methodology of CHE to DE (CHE-DE) in detail to distill critical elements so that the results of these studies can be understood in context. From 104 eligible publications, we identified 79 CHE-DE studies and extracted information on DE generation, exposure session characteristics, pollutant and particulate composition of exposures, and participant demographics. Virtually all studies had a crossover design, and most studies involved a single DE exposure per participant. Exposure sessions were typically 1 or 2 h in duration, with participants alternating between exercise and rest. Most CHE-DE targeted a PM concentration of 300 μg/m

Indexed as

Air PollutantsAir PollutionTraffic-Related PollutionFemaleHumansMaleParticulate MatterVehicle EmissionsAir PollutantsParticulate MatterVehicle EmissionsAir pollutionControlled human exposureDiesel exhaustHumansParticulate matter

Identifiers

PMID35216599
PMCPMC8876178
OpenAlexW4214725720

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.