Evidence map›Paper›PMID 30683108›Full record

ArticleEnvironmental health : a global access science source2019

Development and performance evaluation of a GIS-based metric to assess exposure to airborne pollutant emissions from industrial sources.

Thomas Coudon, Aurélie Marcelle Nicole Danjou, Elodie Faure, Delphine Praud, Gianluca Severi, Francesca Romana Mancini, Pietro Salizzoni, Béatrice Fervers

Open access · goldAbstract read
In one paragraph

Article in Environmental health : a global access science source, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 26 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Thomas CoudonDépartement Cancer & Environnement, Centre Léon Bérard, 69008, Lyon, France.
Aurélie Marcelle Nicole DanjouDépartement Cancer & Environnement, Centre Léon Bérard, 69008, Lyon, France.
Elodie FaureDépartement Cancer & Environnement, Centre Léon Bérard, 69008, Lyon, France.
Delphine PraudDépartement Cancer & Environnement, Centre Léon Bérard, 69008, Lyon, France.
Gianluca SeveriCentre de Recherche en Épidémiologie et Santé des Populations (CESP, Inserm U1018), Facultés de Médecine, Université Paris-Saclay, UPS, UVSQ, Gustave Roussy, Villejuif, France.
Francesca Romana ManciniCentre de Recherche en Épidémiologie et Santé des Populations (CESP, Inserm U1018), Facultés de Médecine, Université Paris-Saclay, UPS, UVSQ, Gustave Roussy, Villejuif, France. francesca.mancini@gustaveroussy.fr.ORCID 0000-0003-2297-3869
Pietro SalizzoniLaboratoire de Mécanique des Fluides et d'Acoustique, UMR CNRS 5509, University of Lyon, Ecole Centrale de Lyon, INSA Lyon, Université Claude Bernard Lyon I, 36, avenue Guy de Collongue, 69134, Ecully, France.
Béatrice FerversDépartement Cancer & Environnement, Centre Léon Bérard, 69008, Lyon, France. Beatrice.FERVERS@lyon.unicancer.fr.
Université Claude Bernard Lyon 1 · FRInserm · FRCentre Léon Bérard · FRCentre National de la Recherche Scientifique · FR

Funding

Environmental Health Perspectives, NIEHS27302C0031 · NIEHS · 2008 to 2008
$1.2M
2016 SETAC Asia/Pacific ConferenceR13ES027302 · NIEHS · SOCIETY/ENVIRONMENTAL TOXICOLOGY/CHEM · PI MENZIE, CHARLES · 2016 to 2016
$6k
NIEHS NIH HHS 27302C0031
6 · The paper itself

Abstract

backgroundDioxins are environmental and persistent organic carcinogens with endocrine disrupting properties. A positive association with several cancers, including risk of breast cancer has been suggested.

objectivesThis study aimed to develop and assess performances of an exposure metric based on a Geographic Information System (GIS) through comparison with a validated dispersion model to estimate historical industrial dioxin exposure for its use in a case-control study nested within a prospective cohort.

methodsIndustrial dioxin sources were inventoried over the whole French territory (n > 2500) and annual average releases were estimated between 1990 and 2008. In three selected areas (rural, urban and urban-costal), dioxin dispersion was modelled using SIRANE, an urban Gaussian model and exposure of the French E3N cohort participants was estimated. The GIS-based metric was developed, calibrated and compared to SIRANE results using a set of parameters (local meteorological data, characteristics of industrial sources, e.g. emission intensity and stack height), by calculating weighted kappa statistics (wκ) and coefficient of determination (R

resultsThe concordance between the GIS-based metric and the dispersion model for dioxin exposure estimate was strong (wκ median = 0.78 (1st quintile = 0.72, 3rd quintile =0.82) and R

conclusionsOur study demonstrated the ability of the GIS-based metric to reliably characterize long-term environmental dioxin and cadmium exposures as well as the pertinence of using dispersion modelling to construct and calibrate the GIS-based metric.

Indexed as

Geographic Information SystemsIndustryAir PollutantsAir PollutionBreast NeoplasmsCadmiumCase-Control StudiesDioxinsEnvironmental MonitoringFemaleFranceHumansAir PollutantsCadmiumDioxinsCadmiumCancerDioxinsDispersion modellingExposure assessmentGISSIRANE

Identifiers

PMID30683108
PMCPMC6347831
OpenAlexW2942412835

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.