Evidence map›Paper›PMID 34921938›Full record

ArticleEnvironmental pollution (Barking, Essex : 1987)2022

ALS risk factors: Industrial airborne chemical releases.

Angeline Andrew, Jie Zhou, Jiang Gui, Xun Shi, Meifang Li, Antoinette Harrison, Bart Guetti, Ramaa Nathan, Tanya Butt, Daniel Peipert and 4 more

Open access · greenAbstract read
In one paragraph

Article in Environmental pollution (Barking, Essex : 1987), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Epigenetics in Neurodegenerative Diseases.Sub-cellular biochemistry · 2025
    Review
  3. Gut microbiota immune cross-talk in amyotrophic lateral sclerosis.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2024
    Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. 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 1 country.

Angeline AndrewDartmouth-Hitchcock Medical Center, Lebanon, NH, USA. Electronic address: Angeline.Andrew@dartmouth.edu.
Jie ZhouDartmouth College, Hanover, NH, USA.
Jiang GuiDartmouth College, Hanover, NH, USA.
Xun ShiDartmouth College, Hanover, NH, USA.
Meifang LiDartmouth College, Hanover, NH, USA.
Antoinette HarrisonMitsubishi Tanabe Pharma America, Inc., Jersey City, NJ, USA.
Bart GuettiDartmouth-Hitchcock Medical Center, Lebanon, NH, USA.
Ramaa NathanEversana, Wayne, PA, USA.
Tanya ButtDartmouth-Hitchcock Medical Center, Lebanon, NH, USA.
Daniel PeipertDartmouth-Hitchcock Medical Center, Lebanon, NH, USA.
Maeve TischbeinDartmouth-Hitchcock Medical Center, Lebanon, NH, USA.
Erik P PioroCenter for ALS and Related Disorders, Cleveland Clinic, Cleveland, OH, USA.
Elijah StommelDartmouth-Hitchcock Medical Center, Lebanon, NH, USA.
Walter BradleyDepartment of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA.
Dartmouth–Hitchcock Medical Center · USDartmouth College · USCleveland Clinic · USMitsubishi Corporation (United States) · USUniversity of Miami · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
ATSDR CDC HHS R01 TS000288NCI NIH HHS P30 CA023108
6 · The paper itself

Abstract

Most amyotrophic lateral sclerosis (ALS) cases are sporadic (∼90%) and environmental exposures are implicated in their etiology. Large industrial facilities are permitted the airborne release of certain chemicals with hazardous properties and report the amounts to the US Environmental Protection Agency (EPA) as part of its Toxics Release Inventory (TRI) monitoring program. The objective of this project was to identify industrial chemicals released into the air that may be associated with ALS etiology. We geospatially estimated residential exposure to contaminants using a de-identified medical claims database, the SYMPHONY Integrated Dataverse®, with ∼26,000 nationally distributed ALS patients, and non-ALS controls matched for age and gender. We mapped TRI data on industrial releases of 523 airborne contaminants to estimate local residential exposure and used a dynamic categorization algorithm to solve the problem of zero-inflation in the dataset. In an independent validation study, we used residential histories to estimate exposure in each year prior to diagnosis. Air releases with positive associations in both the SYMPHONY analysis and the spatio-temporal validation study included styrene (false discovery rate (FDR) 5.4e-5), chromium (FDR 2.4e-4), nickel (FDR 1.6e-3), and dichloromethane (FDR 4.8e-4). Using a large de-identified healthcare claims dataset, we identified geospatial environmental contaminants associated with ALS. The analytic pipeline used may be applied to other diseases and identify novel targets for exposure mitigation. Our results support the future evaluation of these environmental chemicals as potential etiologic contributors to sporadic ALS risk.

Indexed as

Amyotrophic Lateral SclerosisEnvironmental ExposureHumansIndustryManufacturing and Industrial FacilitiesRisk FactorsAirborneAmyotrophic lateral sclerosisResidential historyRisk factorsSolvents

Identifiers

PMID34921938
PMCPMC10752435
OpenAlexW4200028196

What OpenQuestion holds

Textmetadata
LicenceTDM
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.