Evidence map›Paper›PMID 39244645›Full record

ArticleAmyotrophic lateral sclerosis & frontotemporal degeneration2025

Occupational lead exposure and amyotrophic lateral sclerosis survival in the Danish National Patient Registry.

Ian W Tang, Johnni Hansen, Aisha S Dickerson, Marc G Weisskopf

Abstract read
In one paragraph

Article in Amyotrophic lateral sclerosis & frontotemporal degeneration, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ian W TangDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Johnni HansenDanish Cancer Institute, Danish Cancer Society, Copenhagen, Denmark.
Aisha S DickersonDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA, and.
Marc G WeisskopfDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
Training Program in Environmental EpidemiologyT32ES007069 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI LADEN, FRANCINE · 1985 to 2024
$13.9M
Population-Based Study of Environmental Risk Factors for ALSR01ES019188 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI WEISSKOPF, MARC G · 2010 to 2014
$2.0M
NIEHS NIH HHS P30 ES000002NIEHS NIH HHS R01 ES019188NIEHS NIH HHS T32 ES007069
6 · The paper itself

Abstract

objectivesWe investigated the relationship between occupational lead exposure and amyotrophic lateral sclerosis (ALS) survival in Denmark.

methodsWe identified 2,161 ALS cases diagnosed from 1982 to 2013 with at least 5 years of employment history before ALS diagnosis, via the Danish National Patient Registry. Cases were followed until March 2017. We defined lead exposure as never employed in a lead job, ever employed in a lead job, and ever employed in a lead job by exposure probability (<50% vs. ≥50%), excluding jobs held in the 5 years before diagnosis in main analyses. Survival was evaluated using Cox proportional hazards models and stratified by sex and age of diagnosis.

resultsMedian age of diagnosis was 63.5 years, and individuals in lead-exposed jobs were diagnosed at a younger age. Adjusted hazard ratios (aHR) were slightly decreased for men ever lead-exposed (aHR:0.92, 95%CI: 0.80, 1.05) and more so among those diagnosed at age 60-69 (lead ≥ 50% aHR: 0.66, 95%CI: 0.45, 0.98), but reversed for men diagnosed at age 70 and later (aHR: 2.03, 95%CI: 1.13, 3.64). No apparent pattern was observed among women.

conclusionsOccupational lead exposure contributed to shorter survival among men diagnosed at older ages. The inverse associations observed for men diagnosed earlier could relate to possible healthy worker hire effect or health advantages of working in lead-exposed jobs. Our results are consistent with an adverse impact of lead exposure on ALS survival at older ages, with the age at which lead's effects on survival worsen later on among those in lead-exposed jobs.

Indexed as

Amyotrophic Lateral SclerosisLeadOccupational ExposureRegistriesAdultAgedDenmarkFemaleHumansMaleMiddle AgedLeadALShealthy worker effectjob exposure matrixleadoccupational exposure

Identifiers

PMID39244645
PMCPMC11738673

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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.