Evidence map›Paper›PMID 29996112›Full record

ArticleEnvironment international2018

Occupational exposure to high-frequency electromagnetic fields and brain tumor risk in the INTEROCC study: An individualized assessment approach.

Javier Vila, Michelle C Turner, Esther Gracia-Lavedan, Jordi Figuerola, Joseph D Bowman, Laurel Kincl, Lesley Richardson, Geza Benke, Martine Hours, Daniel Krewski and 10 more

Abstract read
In one paragraph

Article in Environment international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Javier VilaBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain. Electronic address: javier.vila@isglobal.org.
Michelle C TurnerBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; McLaughlin Centre for Population Health Risk Assessment, University of Ottawa, Ottawa, Canada.
Esther Gracia-LavedanBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Jordi FiguerolaBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Joseph D BowmanNational Institute for Occupational Safety and Health (NIOSH), OH, USA.
Laurel KinclOregon State University (OSU), Corvallis, OR, USA.
Lesley RichardsonUniversity of Montreal Hospital Research Centre (CRCHUM), Montreal, Canada.
Geza BenkeSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Martine HoursUniversité de Lyon, Université Lyon1 Claude Bernard, IFSTTAR, Unité Mixte de Recherche Épidémiologique et de Surveillance Transports Travail Environnement, Lyon, France.
Daniel KrewskiMcLaughlin Centre for Population Health Risk Assessment, University of Ottawa, Ottawa, Canada.
Dave McLeanMassey University, Wellington, New Zealand.
Marie-Elise ParentINRS-Institut Armand-Frappier, Université du Québec, Laval, Canada.
Siegal SadetzkiCancer and Radiation Epidemiology Unit, Gertner Institute, Chaim Sheba Medical Center, Tel-Hashomer, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Klaus SchlaeferGerman Cancer Research Center (DKFZ), Heidelberg, Germany.
Brigitte SchlehoferGerman Cancer Research Center (DKFZ), Heidelberg, Germany.
Joachim SchüzInternational Agency for Research on Cancer (IARC), Section of Environment and Radiation, Lyon, France.
Jack SiemiatyckiUniversity of Montreal Hospital Research Centre (CRCHUM), Montreal, Canada.
Martie van TongerenInstitute of Occupational Medicine (IOM), Edinburgh, UK; Centre for Occupational and Environmental Health, Centre for Epidemiology, The University of Manchester, UK.
Elisabeth CardisBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
INTEROCC Study Group

Funding

Occupational exposures and brain cancerR01CA124759 · NCI · INTERNATIONAL AGENCY FOR RES ON CANCER · PI CARDIS, ELISABETH · 2007 to 2010
$1.5M
Department of HealthIntramural CDC HHS CC999999NCI NIH HHS R01 CA124759World Health Organization 001
6 · The paper itself

Abstract

introductionIn 2011, the International Agency for Research on Cancer classified radiofrequency (RF) electromagnetic fields (EMF) as possibly carcinogenic to humans (group 2B), although the epidemiological evidence for the association between occupational exposure to RF-EMF and cancer was judged to be inadequate, due in part to limitations in exposure assessment. This study examines the relation between occupational RF and intermediate frequency (IF) EMF exposure and brain tumor (glioma and meningioma) risk in the INTEROCC multinational population-based case-control study (with nearly 4000 cases and over 5000 controls), using a novel exposure assessment approach.

methodsIndividual indices of cumulative exposure to RF and IF-EMF (overall and in specific exposure time windows) were assigned to study participants using a source-exposure matrix and detailed interview data on work with or nearby EMF sources. Conditional logistic regression was used to investigate associations with glioma and meningioma risk.

resultsOverall, around 10% of study participants were exposed to RF while only 1% were exposed to IF-EMF. There was no clear evidence for a positive association between RF or IF-EMF and the brain tumors studied, with most results showing either no association or odds ratios (ORs) below 1.0. The largest adjusted ORs were obtained for cumulative exposure to RF magnetic fields (as A/m-years) in the highest exposed category (≥90th percentile) for the most recent exposure time window (1-4 years before the diagnosis or reference date) for both glioma, OR = 1.62 (95% confidence interval (CI): 0.86, 3.01) and meningioma (OR = 1.52, 95% CI: 0.65, 3.55).

conclusionDespite the improved exposure assessment approach used in this study, no clear associations were identified. However, the results obtained for recent exposure to RF electric and magnetic fields are suggestive of a potential role in brain tumor promotion/progression and should be further investigated.

Indexed as

Brain NeoplasmsCase-Control StudiesElectromagnetic FieldsHumansOccupational ExposureOdds RatioBrain cancerEMFIntermediate frequencyRadiofrequencySource-exposure matrixWorkers

Identifiers

PMID29996112
PMCPMC8851381

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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.