Evidence map›Paper›PMID 41931746›Full record

ArticleNeurology2026

Long-Term Exposure to Ambient Air Pollution and Incident Amyotrophic Lateral Sclerosis: A Prospective Cohort Analysis of the UK Biobank.

Christos V Chalitsios, Oliver Rudolf, Jiali Gao, Martin R Turner, Alexander G Thompson

Abstract read
In one paragraph

Article in Neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Christos V ChalitsiosNuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom.ORCID 0000-0002-0836-9385
Oliver RudolfNuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom.
Jiali GaoNuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom.ORCID 0000-0002-5461-1742
Martin R TurnerNuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom.ORCID 0000-0003-0267-3180
Alexander G ThompsonNuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesAmyotrophic lateral sclerosis (ALS) is a neurodegenerative disease with a complex etiology. Although a range of genetic and lifestyle factors have been implicated, the potential role of environmental airborne pollution exposure is uncertain. This study examined the association between long-term ambient exposure to air pollutants and the incidence of ALS in UK Biobank participants.

methodsThis prospective cohort study was based on the UK Biobank participants aged 40-69 years. The analytical sample comprised participants free of ALS at baseline and had complete data on air pollution exposure. Long-term exposure (2006-2021) to nitrogen dioxide (NO

resultsAmong the 501,308 participants with a mean age of 56.5 (SD 8.1) years at baseline, 272,764 (54.4%) were female. Over a median follow-up of 8.4 years, 687 individuals developed ALS. We did not observe any associations for any of the examined pollutants and ALS risk. Specifically, the hazard ratios per SD increment for PM DISCUSSION: In this large population-based study with high statistical power, ambient air pollution was not a risk factor for the development of ALS.

Indexed as

Air PollutantsAir PollutionAmyotrophic Lateral SclerosisEnvironmental ExposureAdultAgedBiological Specimen BanksC9orf72 ProteinFemaleGene-Environment InteractionHumansIncidenceMaleMiddle AgedNitrogen DioxideNitrogen OxidesAir PollutantsC9orf72 ProteinNitrogen DioxideNitrogen OxidesParticulate Matter

Identifiers

PMID41931746
PMCPMC13067374

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Registered trials

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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.