Evidence map›Paper›PMID 37888686›Full record

ArticleToxics2023

Job Exposure Matrix, a Solution for Retrospective Assessment of Particle Exposure in a Subway Network and Their Long-Term Effects.

Tesnim Ben Rayana, Pascal Wild, Amélie Debatisse, Valérie Jouannique, Kirushanthi Sakthithasan, Guillaume Suarez, Irina Guseva Canu

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

Article in Toxics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

7 authors at 2 institutions in 2 countries.

Tesnim Ben RayanaCenter for Primary Care and Public Health (Unisanté), University of Lausanne, 1066 Epalinges-Lausanne, Switzerland.ORCID 0000-0001-6917-6715
Pascal WildCenter for Primary Care and Public Health (Unisanté), University of Lausanne, 1066 Epalinges-Lausanne, Switzerland.
Amélie DebatisseAutonomous Parisian Transportation Administration (RATP), 75012 Paris, France.
Valérie JouanniqueAutonomous Parisian Transportation Administration (RATP), 75012 Paris, France.
Kirushanthi SakthithasanAutonomous Parisian Transportation Administration (RATP), 75012 Paris, France.
Guillaume SuarezCenter for Primary Care and Public Health (Unisanté), University of Lausanne, 1066 Epalinges-Lausanne, Switzerland.
Irina Guseva CanuCenter for Primary Care and Public Health (Unisanté), University of Lausanne, 1066 Epalinges-Lausanne, Switzerland.ORCID 0000-0001-7059-8421
Centre universitaire de médecine générale et santé publique, Lausanne · CHRégie Autonome des Transports Parisiens (France) · FR

Funding

Swiss National Science Foundation IZCOZ0-177067
6 · The paper itself

Abstract

introductionHealth effects after long-term exposure to subway particulate matter (PM) remain unknown due to the lack of individual PM exposure data. This study aimed to apply the job exposure matrix (JEM) approach to retrospectively assess occupational exposure to PM in the Parisian subway.

methodsJob, the line and sector of the transport network, as well as calendar period were four JEM dimensions. For each combination of these dimensions, we generated statistical models to estimate the annual average PM

resultsThe resulting JEM allows for the assignment of the estimated annual PM

conclusionsThe JEM approach seems relevant for the retrospective exposure assessment of subway workers. When applied to available data on PM

Indexed as

long-term exposuremass concentrationoccupational exposure assessmentparticulate matteruncertaintyunderground subway

Identifiers

PMID37888686
PMCPMC10610788
OpenAlexW4387258854

What OpenQuestion 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 OpenQuestion graph.