Evidence map›Paper›PMID 35944145›Full record

ArticleEpidemiology (Cambridge, Mass.)2022

Long-term Traffic-related Air Pollutant Exposure and Amyotrophic Lateral Sclerosis Diagnosis in Denmark: A Bayesian Hierarchical Analysis.

Robbie M Parks, Yanelli Nunez, Arin A Balalian, Elizabeth A Gibson, Johnni Hansen, Ole Raaschou-Nielsen, Matthias Ketzel, Jibran Khan, Jørgen Brandt, Roel Vermeulen and 5 more

Open access · greenAbstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
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  4. Development of Life Course Exposure Estimates Using Geospatial Data and Residence History.International journal of environmental research and public health · 2025
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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

15 authors at 6 institutions in 4 countries.

Robbie M ParksFrom the Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY.ORCID 0000-0002-7916-1717
Yanelli NunezFrom the Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY.
Arin A BalalianDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY.
Elizabeth A GibsonFrom the Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY.
Johnni HansenDanish Cancer Society Research Center, Copenhagen, Denmark.
Ole Raaschou-NielsenDanish Cancer Society Research Center, Copenhagen, Denmark.
Matthias KetzelDepartment of Environmental Science, Aarhus University, Roskilde, Denmark.
Jibran KhanDepartment of Environmental Science, Aarhus University, Roskilde, Denmark.
Jørgen BrandtDepartment of Environmental Science, Aarhus University, Roskilde, Denmark.
Roel VermeulenInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands.
Susan PetersInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands.
Jeff GoldsmithDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY.
Diane B ReFrom the Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY.
Marc G WeisskopfDepartments of Environmental Health and Epidemiology, T. H. Chan School of Public Health, Harvard University, Boston, MA.
Marianthi-Anna KioumourtzoglouFrom the Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY.
Columbia University · USAarhus University · DKHarvard University · USUtrecht University · NLDanish Cancer Society · DKEarth Island Institute · US

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
National Cohort Studies of Alzheimer's Disease, Related Dementias and Air PollutionR01AG066793 · NIA · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ZANOBETTI, ANTONELLA · 2020 to 2025
$4.2M
Integrating Air Pollution Prediction Models: Uncertainty Quantification and Propagation in Health StudiesR01ES030616 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DOMINICI, FRANCESCA, KIOUMOURTZOGLOU, MARIANTHI-ANNA · 2020 to 2024
$3.1M
Principal Component Pursuit to Assess Exposure to Environmental Mixtures in Epidemiologic StudiesR01ES028805 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KIOUMOURTZOGLOU, MARIANTHI-ANNA · 2018 to 2021
$2.2M
Novel Assessments of the Health Impacts of Tropical CyclonesR00ES033742 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PARKS, ROBBIE M · 2023 to 2025
$911k
Air Pollution Exposure and Risk of Amyotrophic Lateral Sclerosis (ALS)R21ES028472 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KIOUMOURTZOGLOU, MARIANTHI-ANNA · 2018 to 2019
$406k
Novel Assessments of the Health Impacts of Tropical CyclonesK99ES033742 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PARKS, ROBBIE M · 2022 to 2023
$208k
NIA NIH HHS R01 AG066793NIEHS NIH HHS K99 ES033742NIEHS NIH HHS P30 ES000002NIEHS NIH HHS P30 ES009089NIEHS NIH HHS R00 ES033742NIEHS NIH HHS R01 ES028805NIEHS NIH HHS R01 ES030616NIEHS NIH HHS R21 ES028472
6 · The paper itself

Abstract

backgroundAmyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease. Limited evidence suggests ALS diagnosis may be associated with air pollution exposure and specifically traffic-related pollutants.

methodsIn this population-based case-control study, we used 3,937 ALS cases from the Danish National Patient Register diagnosed during 1989-2013 and matched on age, sex, year of birth, and vital status to 19,333 population-based controls free of ALS at index date. We used validated predictions of elemental carbon (EC), nitrogen oxides (NO x ), carbon monoxide (CO), and fine particles (PM 2.5 ) to assign 1-, 5-, and 10-year average exposures pre-ALS diagnosis at study participants' present and historical residential addresses. We used an adjusted Bayesian hierarchical conditional logistic model to estimate individual pollutant associations and joint and average associations for traffic-related pollutants (EC, NO x , CO).

resultsFor a standard deviation (SD) increase in 5-year average concentrations, EC (SD = 0.42 µg/m 3 ) had a high probability of individual association with increased odds of ALS (11.5%; 95% credible interval [CrI] = -1.0%, 25.6%; 96.3% posterior probability of positive association), with negative associations for NO x (SD = 20 µg/m 3 ) (-4.6%; 95% CrI = 18.1%, 8.9%; 27.8% posterior probability of positive association), CO (SD = 106 µg/m 3 ) (-3.2%; 95% CrI = 14.4%, 10.0%; 26.7% posterior probability of positive association), and a null association for nonelemental carbon fine particles (non-EC PM 2.5 ) (SD = 2.37 µg/m 3 ) (0.7%; 95% CrI = 9.2%, 12.4%). We found no association between ALS and joint or average traffic pollution concentrations.

conclusionsThis study found high probability of a positive association between ALS diagnosis and EC concentration. Further work is needed to understand the role of traffic-related air pollution in ALS pathogenesis.

Indexed as

Air PollutantsAir PollutionAmyotrophic Lateral SclerosisNeurodegenerative DiseasesBayes TheoremCarbon MonoxideCase-Control StudiesDenmarkEnvironmental ExposureHumansNitrogen OxidesParticulate MatterVehicle EmissionsAir PollutantsCarbon MonoxideNitrogen OxidesParticulate MatterVehicle Emissions

Identifiers

PMID35944145
PMCPMC9560992
OpenAlexW4294834894

What OpenQuestion holds

Textmetadata
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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.