Evidence map›Paper›PMID 24621126›Full record

Trial reportEnvironmental health : a global access science source2014

Assessment of the capacity of vehicle cabin air inlet filters to reduce diesel exhaust-induced symptoms in human volunteers.

Ala Muala, Maria Sehlstedt, Anne Bion, Camilla Osterlund, Jenny A Bosson, Annelie F Behndig, Jamshid Pourazar, Anders Bucht, Christoffer Boman, Ian S Mudway and 4 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Environmental health : a global access science source, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
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  11. Article
  12. Article
  13. Characterization of Airborne Particles Collected from Car Engine Air Filters Using SEM and EDX Techniques.International journal of environmental research and public health · 2016
    Article
  14. 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

14 authors at 5 institutions in 3 countries.

Ala Muala
Maria Sehlstedt
Anne Bion
Camilla Osterlund
Jenny A Bosson
Annelie F Behndig
Jamshid Pourazar
Anders Bucht
Christoffer Boman
Ian S Mudway
Jeremy P Langrish
Stephane Couderc
Anders Blomberg
Thomas SandströmDepartment of Public Health and Clinical Medicine, Division of Medicine, Umeå University, Umeå, Sweden. thomas.sandstrom@lung.umu.se.
Umeå University · SERenault (France) · FRKing's College London · GBSwedish Defence Research Agency · SEUniversity of Edinburgh · GB

Funding

Medical Research Council G1000758
6 · The paper itself

Abstract

backgroundExposure to particulate matter (PM) air pollution especially derived from traffic is associated with increases in cardiorespiratory morbidity and mortality. In this study, we evaluated the ability of novel vehicle cabin air inlet filters to reduce diesel exhaust (DE)-induced symptoms and markers of inflammation in human subjects.

methodsThirty healthy subjects participated in a randomized double-blind controlled crossover study where they were exposed to filtered air, unfiltered DE and DE filtered through two selected particle filters, one with and one without active charcoal. Exposures lasted for one hour. Symptoms were assessed before and during exposures and lung function was measured before and after each exposure, with inflammation assessed in peripheral blood five hours after exposures. In parallel, PM were collected from unfiltered and filtered DE and assessed for their capacity to drive damaging oxidation reactions in a cell-free model, or promote inflammation in A549 cells.

resultsThe standard particle filter employed in this study reduced PM10 mass concentrations within the exposure chamber by 46%, further reduced to 74% by the inclusion of an active charcoal component. In addition use of the active charcoal filter was associated by a 75% and 50% reduction in NO2 and hydrocarbon concentrations, respectively. As expected, subjects reported more subjective symptoms after exposure to unfiltered DE compared to filtered air, which was significantly reduced by the filter with an active charcoal component. There were no significant changes in lung function after exposures. Similarly diesel exhaust did not elicit significant increases in any of the inflammatory markers examined in the peripheral blood samples 5 hour post-exposure. Whilst the filters reduced chamber particle concentrations, the oxidative activity of the particles themselves, did not change following filtration with either filter. In contrast, diesel exhaust PM passed through the active charcoal combination filter appeared less inflammatory to A549 cells.

conclusionsA cabin air inlet particle filter including an active charcoal component was highly effective in reducing both DE particulate and gaseous components, with reduced exhaust-induced symptoms in healthy volunteers. These data demonstrate the effectiveness of cabin filters to protect subjects travelling in vehicles from diesel exhaust emissions.

Indexed as

Air FiltersMotor VehiclesAdolescentAdultAir PollutantsAir PollutionCell Line, TumorCharcoalCross-Over StudiesFemaleHealthy VolunteersHumansHydrocarbonsInterleukin-8IrritantsMaleAir PollutantsCharcoalHydrocarbonsInterleukin-8IrritantsNitric OxideNitrogen DioxideParticulate MatterVehicle Emissions

Identifiers

PMID24621126
PMCPMC4007775
OpenAlexW2167249616

What OpenQuestion 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 OpenQuestion graph.