Evidence map›Paper›PMID 33778341›Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2019

A randomized, double-blind, crossover intervention study of traffic-related air pollution and airway inflammation in healthy adults.

Bin Han, Nan Zhang, Ruojie Zhao, Liwen Zhang, Jia Xu, Wen Yang, Zhipeng Bai, Sverre Vedal

Open access · goldAbstract read
In one paragraph

Article in Environmental epidemiology (Philadelphia, Pa.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 3 institutions in 2 countries.

Bin HanState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Nan ZhangState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Ruojie ZhaoState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Liwen ZhangDepartment of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, China.
Jia XuDepartment of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, Washington.
Wen YangState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Zhipeng BaiState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Sverre VedalState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
Chinese Research Academy of Environmental Sciences · CNUniversity of Washington · USTianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraffic-related air pollution (TRAP) may increase the risk of respiratory disease. The components of TRAP that are responsible for its respiratory toxicity are largely unknown. The objective was to identify the component(s) of TRAP that cause airways inflammation using fractional exhaled nitric oxide (FE

methodsA randomized, double-blind, crossover intervention study was conducted in which 39 healthy university students spent 2 hours next to a busy road. During exposure, participants wore either a powered air-purifying respirator (PAPR) or an N95 facemask. PAPRs were fitted with a fine particle (PM

resultsWith the sham PAPR filter, the mean postexposure FE

conclusionsBecause PAPR filters do not filter inorganic gases (e.g., NO

Identifiers

PMID33778341
PMCPMC7939400
OpenAlexW2972505523

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.