Evidence map›Paper›PMID 34935027›Full record

ReviewAnnals of work exposures and health2022

Occupational Exposure Assessment Tools in Europe: A Comprehensive Inventory Overview.

Susan Peters, Danielle Vienneau, Alexia Sampri, Michelle C Turner, Gemma Castaño-Vinyals, Merete Bugge, Roel Vermeulen

Abstract readReview
In one paragraph

Review in Annals of work exposures and health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  13. What is next for occupational cancer epidemiology?Scandinavian journal of work, environment & health · 2022
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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

7 authors.

Susan PetersInstitute for Risk Assessment Sciences, Utrecht University, Yalelaan, CM Utrecht, The Netherlands.ORCID 0000-0001-5662-1971
Danielle VienneauSwiss Tropical and Public Health Institute, Socinstrasse, Basel, Switzerland.ORCID 0000-0002-6309-6439
Alexia SampriDivision of Informatics, Imaging and Data Sciences, School of Health Sciences, University of Manchester, Vaughan House, The University of Manchester, Portsmouth St, Manchester, UK.
Michelle C TurnerBarcelona Institute for Global Health (ISGlobal), Doctor Aiguader, Barcelona, Spain.
Gemma Castaño-VinyalsBarcelona Institute for Global Health (ISGlobal), Doctor Aiguader, Barcelona, Spain.
Merete BuggeNational Institute of Occupational Health (STAMI), Gydas vei, Oslo, Norway.
Roel VermeulenInstitute for Risk Assessment Sciences, Utrecht University, Yalelaan, CM Utrecht, The Netherlands.ORCID 0000-0003-4082-8163

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe Network on the Coordination and Harmonisation of European Occupational Cohorts (OMEGA-NET) was set up to enable optimization of the use of industrial and general population cohorts across Europe to advance aetiological research. High-quality harmonized exposure assessment is crucial to derive comparable results and to enable pooled analyses. To facilitate a harmonized research strategy, a concerted effort is needed to catalogue available occupational exposure information. We here aim to provide a first comprehensive overview of exposure assessment tools that could be used for occupational epidemiological studies.

methodsAn online inventory was set up to collect meta-data on exposure assessment tools. Occupational health researchers were invited via newsletters, editorials, and individual e-mails to provide details of job-exposure matrices (JEMs), exposure databases, and occupational coding systems and their associated crosswalks to translate codes between different systems, with a focus on Europe.

resultsMeta-data on 36 general population JEMs, 11 exposure databases, and 29 occupational coding systems from more than 10 countries have been collected up to August 2021. A wide variety of exposures were covered in the JEMs on which data were entered, with dusts and fibres (in 14 JEMs) being the most common types. Fewer JEMs covered organization of work (5) and biological factors (4). Dusts and fibres were also the most common exposures included in the databases (7 out of 11), followed by solvents and pesticides (both in 6 databases).

conclusionsThis inventory forms the basis for a searchable web-based database of meta-data on existing occupational exposure information, to support researchers in finding the available tools for assessing occupational exposures in their cohorts, and future efforts for harmonization of exposure assessment. This inventory remains open for further additions, to enlarge its coverage and include newly developed tools.

Indexed as

Occupational ExposureOccupational HealthDustEuropeHumansOccupationsDustepidemiologyexposure assessmentexposure databasesharmonizationjob-exposure matrix

Identifiers

PMID34935027
PMCPMC9168668

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.