Development of Life Course Exposure Estimates Using Geospatial Data and Residence History.

Stuart Batterman, Md Kamrul Islam, Stephen Goutman

Abstract read

In one paragraph

Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Stuart BattermanEnvironmental Health Sciences, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0001-9894-5325

Md Kamrul IslamEnvironmental Health Sciences, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0002-5401-5529

Stephen GoutmanDepartment of Neurology, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0001-8780-6637

Funding

Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI John D. Meeker · 2011 to 2026

$21.3M

NIEHS NIH HHS P30 ES017885NIH HHS 1K23ES027221-02NIH HHS 1P30TW017885-03NIH HHS 1R01ES030049-03NIH HHS 1R01NS127188-03

6 · The paper itself

Abstract

Life course exposure estimates developed using geospatial datasets must address issues of individual mobility, missing and incorrect data, and incompatible scaling of the datasets. We propose methods to assess and resolve these issues by developing individual exposure histories for an adult cohort of patients with amyotrophic lateral sclerosis (ALS) and matched controls using residence history and PM

Indexed as

Air PollutantsAmyotrophic Lateral SclerosisEnvironmental ExposureAdultAgedCohort StudiesFemaleGeographic Information SystemsHumansMaleMiddle AgedParticulate MatterSootSpatial AnalysisVehicle EmissionsAir PollutantsParticulate MatterSootVehicle Emissionsair pollutionepidemiologyexposuregeocodinggeographical information systemimputationkrigingretrospective

Identifiers

PMID41302575

DOI10.3390/ijerph22111629

PMCPMC12653017

What Socratic holds

Textmetadata

LicenceCC BY

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 Socratic graph.