Evidence map›Paper›PMID 37087683›Full record

ArticleAmerican journal of industrial medicine2023

An algorithm for quantitatively estimating occupational endotoxin exposure in the biomarkers of exposure and effect in agriculture study: II. Application to the study population.

Melissa C Friesen, Laura E Beane Freeman, Sarah J Locke, Pabitra R Josse, Shuai Xie, Susan Marie Viet, Jean-François Sauvé, Gabriella Andreotti, Peter S Thorne, Jonathan N Hofmann

Open access · bronzeAbstract read
In one paragraph

Article in American journal of industrial medicine, 2023. 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
0.2field-weighted citation impact, top 52% 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, 1 citations in OpenAlex.

  1. Review
  2. 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

10 authors at 3 institutions in 2 countries.

Melissa C FriesenDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Occupational and Environmental Epidemiology Branch, Bethesda, Maryland, USA.
Laura E Beane FreemanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Occupational and Environmental Epidemiology Branch, Bethesda, Maryland, USA.
Sarah J LockeDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Occupational and Environmental Epidemiology Branch, Bethesda, Maryland, USA.
Pabitra R JosseDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Occupational and Environmental Epidemiology Branch, Bethesda, Maryland, USA.
Shuai XieDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Occupational and Environmental Epidemiology Branch, Bethesda, Maryland, USA.ORCID 0000-0002-0426-7613
Susan Marie VietWestat, Rockville, Maryland, USA.
Jean-François SauvéInstitut National de Recherche et de Sécurité, Vandoeuvre-lès-Nancy, France (work was done while at Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.ORCID 0000-0002-4995-4388
Gabriella AndreottiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Occupational and Environmental Epidemiology Branch, Bethesda, Maryland, USA.
Peter S ThorneDepartment of Occupational and Environmental Health, University of Iowa, Iowa, Iowa City, USA.
Jonathan N HofmannDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Occupational and Environmental Epidemiology Branch, Bethesda, Maryland, USA.
National Cancer Institute · USUniversity of Iowa · USWestat (United States) · US

Funding

Studies of Occupational Cancer (Pesticides)ZIACP010119 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI BEANE FREEMAN, LAURA · 2009 to 2025
$46.1M
Pulmonary Toxicology Facility CoreP30ES005605 · NIEHS · UNIVERSITY OF IOWA · PI Jong Sung Kim · 1990 to 2026
$40.5M
Occupational Exposure AssessmentZIACP010122 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI FRIESEN, MELISSA · 2009 to 2025
$8.6M
STUDIES OF OCCUPATIONAL CANCER--PESTICIDESZ01CP010119 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ALAVANJA, MICHAEL · 1996 to 2008
$5.0M
Intramural NIH HHS Z01 CP010119Intramural NIH HHS ZIA CP010122NIEHS NIH HHS P30 ES005605
6 · The paper itself

Abstract

backgroundWe developed an algorithm to quantitatively estimate endotoxin exposure for farmers in the Biomarkers of Exposure and Effect in Agriculture (BEEA) Study.

methodsThe algorithm combined task intensity estimates derived from published data with questionnaire responses on activity duration to estimate task-specific cumulative endotoxin exposures for 13 tasks during four time windows, ranging from "past 12 months" to "yesterday/today." We applied the algorithm to 1681 participants in Iowa and North Carolina. We examined correlations in endotoxin metrics within- and between-task. We also compared these metrics to prior day full-shift inhalable endotoxin concentrations from 32 farmers.

resultsThe highest median task-specific cumulative exposures were observed for swine confinement, poultry confinement, and grind feed. Inter-quartile ranges showed substantial between-subject variability for most tasks. Time window-specific metrics of the same task were moderately-highly correlated. Between-task correlation was variable, with moderately-high correlations observed for similar tasks (e.g., between animal-related tasks). Prior day endotoxin concentration increased with the total metric and with task metrics for swine confinement, clean other animal facilities, and clean grain bins. SIGNIFICANCE: This study provides insight into the variability and sources of endotoxin exposure among farmers in the BEEA study and summarizes exposure estimates for future investigations in this population.

Indexed as

Air Pollutants, OccupationalOccupational ExposureAgricultureAlgorithmsAnimalsBiomarkersDustEndotoxinsHumansSwineAir Pollutants, OccupationalBiomarkersDustEndotoxinsbioaersosol exposuresendotoxin exposuresfarming activitiesoccupational questionnaires

Identifiers

PMID37087683
PMCPMC10265745
OpenAlexW4366776540

What OpenQuestion holds

Textmetadata
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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.