Evidence map›Paper›PMID 41557441›Full record

ArticleJAMA neurology2026

Long-Term Exposure to Air Pollution and Risk and Prognosis of Motor Neuron Disease.

Jing Wu, Andrei Pyko, Charilaos Chourpiliadis, Yihan Hu, Can Hou, Susanna Brauner, Fredrik Piehl, Petter Ljungman, Caroline Ingre, Fang Fang

Abstract read
In one paragraph

Article in JAMA 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

5 · Who and what money

Authors and funding

10 authors.

Jing WuInstitute of Environmental Medicine (IMM), Karolinska Institutet, Stockholm, Sweden.
Andrei PykoInstitute of Environmental Medicine (IMM), Karolinska Institutet, Stockholm, Sweden.
Charilaos ChourpiliadisInstitute of Environmental Medicine (IMM), Karolinska Institutet, Stockholm, Sweden.
Yihan HuInstitute of Environmental Medicine (IMM), Karolinska Institutet, Stockholm, Sweden.
Can HouInstitute of Environmental Medicine (IMM), Karolinska Institutet, Stockholm, Sweden.
Susanna BraunerDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Fredrik PiehlDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Petter LjungmanInstitute of Environmental Medicine (IMM), Karolinska Institutet, Stockholm, Sweden.
Caroline IngreDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Fang FangInstitute of Environmental Medicine (IMM), Karolinska Institutet, Stockholm, Sweden.

Funding

ATSDR CDC HHS R01 TS000348
6 · The paper itself

Abstract

Importance: Air pollution exposure has been associated with an increased risk of neurodegenerative diseases; however, evidence is limited for motor neuron disease (MND), especially regarding disease progression. Objective: To determine whether long-term exposure to air pollution is associated with the risk and prognosis of MND. Design, Setting, and Participants: This population-based, nested case-control study used Swedish health register data of incident MND cases diagnosed between 2015 and 2023 with up to 8 years of follow-up. Participants included patients with MND, 5 age- and sex-matched population controls without MND per patient with MND, and full siblings of the patients with MND. Data were analyzed between November 6, 2024, and November 4, 2025. Exposures: Mean yearly concentrations of particulate matters of 2.5 µm or less, 10 µm or less, or 2.5 to 10 µm in diameter (PM2.5, PM10, PM2.5-10) and nitrogen dioxide (NO2) were assessed at the residential address using a spatiotemporal model to approximate accumulated air pollution exposure. Main Outcome and Measures: Association between air pollution and risk of MND was assessed by comparing cases to both population and sibling controls. Flexible parametric survival models estimated the association between air pollution exposure and the risk of mortality (or use of invasive ventilation) after MND diagnosis (case-only analyses). Based on the rate of decline in the ALS Functional Rating Scale-Revised (ALSFRS-R) score and its subscores after diagnosis, patients were classified into fast (upper 25th percentile) or slow (lower 75th percentile) progression. Logistic regression was used to assess air pollution exposure and the risk of fast progression. Results: The study included 1463 patients with MND, 7310 population controls, and 1768 sibling controls. The mean (SD) age for all patients with MND was 67.3 (11.7) years, and 814 (55.6) were male. In the population comparison, long-term air pollution was associated with an increased risk of MND; per IQR increase in the 10-year average level, the odds ratio was 1.21 (95% CI, 1.09-1.34) for PM2.5, 1.30 (95% CI, 1.19-1.42) for PM2.5-10, 1.29 (95% CI, 1.18-1.42) for PM10, and 1.20 (95% CI, 1.12-1.29) for NO2. A higher level of PM10 or NO2 was associated with a higher hazard of mortality, whereas a higher level of all PMs was associated with faster functional decline, particularly motor and respiratory functions, after MND diagnosis. Conclusions and Relevance: The findings of this case-control study suggest that air pollution, even at relatively low levels typical of Sweden, may contribute both to the risk of developing MND and disease prognosis after MND diagnosis.

Indexed as

Air PollutionEnvironmental ExposureMotor Neuron DiseaseAgedCase-Control StudiesDisease ProgressionFemaleHumansMaleMiddle AgedParticulate MatterPrognosisRegistriesRisk FactorsSwedenParticulate Matter

Identifiers

PMID41557441
PMCPMC12820776

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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.