Evidence map›Paper›PMID 38557405›Full record

ArticleAmyotrophic lateral sclerosis & frontotemporal degeneration2024

Residential exposure associations with ALS risk, survival, and phenotype: a Michigan-based case-control study.

Stephen A Goutman, Jonathan Boss, Dae Gyu Jang, Caroline Piecuch, Hasan Farid, Madeleine Batra, Bhramar Mukherjee, Eva L Feldman, Stuart A Batterman

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Amyotrophic lateral sclerosis & frontotemporal degeneration, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Life Course Exposure to Cyanobacteria and Amyotrophic Lateral Sclerosis Survival.International journal of environmental research and public health · 2025
    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

9 authors at 1 institution in 1 country.

Stephen A GoutmanDepartment of Neurology, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0001-8780-6637
Jonathan BossDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, USA, and.
Dae Gyu JangDepartment of Neurology, University of Michigan, Ann Arbor, MI, USA.ORCID 0009-0009-7966-1322
Caroline PiecuchDepartment of Neurology, University of Michigan, Ann Arbor, MI, USA.
Hasan FaridDepartment of Neurology, University of Michigan, Ann Arbor, MI, USA.
Madeleine BatraDepartment of Neurology, University of Michigan, Ann Arbor, MI, USA.
Bhramar MukherjeeDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, USA, and.
Eva L FeldmanDepartment of Neurology, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-9162-2694
Stuart A BattermanDepartment of Environmental Health Sciences, University of Michigan, Ann Arbor, MI, USA.
University of Michigan · US

Funding

Michigan Institute for Clinical and Health Research (MICHR)UL1TR002240 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUMENG, JULIE C, MASHOUR, GEORGE ALEXANDER · 2017 to 2022
$54.9M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI STUART A BATTERMAN · 2011 to 2026
$21.3M
Mapping the ALS Exposome to Gain New Insights into Disease Risk and PathogenesisR01ES030049 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BATTERMAN, STUART A, FELDMAN, EVA LUCILLE · 2020 to 2024
$3.5M
Developing novel strategies for personalized treatment and prevention of ALS: Leveraging the global exposome, genome, epigenome, metabolome, and inflammasome with data science in a case/control cohortR01NS127188 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BATTERMAN, STUART A, FELDMAN, EVA LUCILLE · 2021 to 2024
$3.4M
Impact of Geospatial Factors and Environmental Pollutants on Amyotrophic Lateral Sclerosis in the State of MichiganK23ES027221 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GOUTMAN, STEPHEN · 2017 to 2021
$1.0M
NCATS NIH HHS UL1 TR002240NIEHS NIH HHS K23 ES027221NIEHS NIH HHS P30 ES017885NIEHS NIH HHS R01 ES030049NINDS NIH HHS R01 NS127188
6 · The paper itself

Abstract

backgroundEnvironmental exposures impact amyotrophic lateral sclerosis (ALS) risk and progression, a fatal and progressive neurodegenerative disease. Better characterization of these exposures is needed to decrease disease burden.

objectiveTo identify exposures in the residential setting that associate with ALS risk, survival, and onset segment.

methodsALS and control participants recruited from University of Michigan completed a survey that ascertained exposure risks in the residential setting. ALS risk was assessed using logistic regression models followed by latent profile analysis to consider exposure profiles. A case-only analysis considered the contribution of the residential exposure variables via a Cox proportional hazards model for survival outcomes and multinomial logistic regression for onset segment, a polytomous outcome.

resultsThis study included 367 ALS and 255 control participants. Twelve residential variables were associated with ALS risk after correcting for multiple comparison testing, with storage in an attached garage of chemical products including gasoline or kerosene (odds ratio (OR) = 1.14,

conclusionResidential exposures may be important modifiable components of the ALS susceptibility and prognosis exposome.

Indexed as

Amyotrophic Lateral SclerosisEnvironmental ExposurePhenotypeAdultAgedCase-Control StudiesFemaleHumansMaleMichiganMiddle AgedRisk FactorsALSALS exposuresgasolinelawn care productspesticidesresidential risk factorswoodworking

Identifiers

PMID38557405
PMCPMC11269018
OpenAlexW4393380846

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.