Evidence map›Paper›PMID 37722828›Full record

ArticleOccupational and environmental medicine2023

Occupational exposure to extremely low-frequency magnetic fields and follicular lymphoma risk: a family case-control study.

Michael K Odutola, Marina T van Leeuwen, Fiona J Bruinsma, Geza Benke, Michelle C Turner, Judith Trotman, Jennifer Turner, John F Seymour, H Miles Prince, Samuel T Milliken and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Occupational and environmental medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

20 authors.

Michael K OdutolaCentre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales, Australia.
Marina T van LeeuwenCentre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales, Australia.
Fiona J BruinsmaCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.
Geza BenkeSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Michelle C TurnerISGlobal, Barcelona Institute for Global Health, Barcelona, Spain.ORCID 0000-0002-6431-1997
Judith TrotmanConcord Repatriation General Hospital and University of Sydney, Concord, New South Wales, Australia.
Jennifer TurnerAnatomical Pathology, Douglass Hanly Moir Pathology, Sydney, New South Wales, Australia.
John F SeymourRoyal Melbourne Hospital, Peter MacCallum Cancer Centre and University of Melbourne, Melbourne, Victoria, Australia.
H Miles PrinceSir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria, Australia.
Samuel T MillikenHaematology Department, St. Vincent's Hospital, Sydney, New South Wales, Australia.
Campbell TileyCancer Day Unit, Gosford Hospital, Gosford, New South Wales, Australia.
Mark HertzbergDepartment of Haematology, Prince of Wales Hospital and University of New South Wales, Sydney, New South Wales, Australia.
Fernando RoncolatoClinical Haematology, St. George Hospital, Kogarah, New South Wales, Australia.
Stephen OpatClinical Haematology, Monash Health, Clayton, Victoria, Australia.
Robert LindemanClinical Operations, New South Wales Health Pathology, Sydney, New South Wales, Australia.
Emma VernerConcord Repatriation General Hospital and University of Sydney, Concord, New South Wales, Australia.
Craig R UnderhillBorder Medical Oncology Research Unit, Albury, New South Wales, Australia.
Elisabeth CardisISGlobal, Barcelona Institute for Global Health, Barcelona, Spain.
Graham GilesCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.
Claire M VajdicCentre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales, Australia claire.vajdic@unsw.edu.au.ORCID 0000-0002-3612-8298

Funding

Occupational exposures and brain cancerR01CA124759 · NCI · INTERNATIONAL AGENCY FOR RES ON CANCER · PI CARDIS, ELISABETH · 2007 to 2010
$1.5M
NCI NIH HHS R01 CA124759
6 · The paper itself

Abstract

objectivesWe aimed to examine the relationship between occupational exposure to extremely low-frequency magnetic fields (ELF-MFs) and follicular lymphoma (FL) risk.

methodsWe conducted a family case-control study between 2011 and 2016 in Australia and included 681 cases. Controls were either a family member of cases (related (n=294), unrelated (n=179)) or were unrelated recruited for a similarly designed Australian multiple myeloma study (n=711). We obtained detailed job histories using lifetime work calendars. We assigned exposure to ELF-MFs using an enhanced job exposure matrix, with a lag period of 10 years. We examined associations with FL risk using logistic regression accounting for relatedness between cases and controls. We performed sensitivity analyses including by control type, by sex, complete case analyses, ELF-MF exposure percentiles in addition to quartiles, ELF-MF exposure in the maximum exposed job, a shorter lag period (1 year) and the cumulative exposure in the most recent time period (1-9 years).

resultsWe observed no association with the average intensity, duration or lifetime cumulative exposure to occupational ELF-MF exposure in the primary or sensitivity analyses.

conclusionsOur findings do not support an association between occupational ELF-MF exposure and FL risk. Although the inclusion of family members as part of the larger control group may have biased our risk estimates towards the null, findings were similar in sensitivity analyses restricted to cases and unrelated controls. Further research incorporating enhanced exposure assessment to ELF-MF is warranted to inform occupational safety regulations and any potential role in lymphomagenesis.

Indexed as

Lymphoma, FollicularOccupational ExposureAustraliaCase-Control StudiesElectromagnetic FieldsHumansMagnetic FieldsRisk Factorsepidemiologyoccupational healthpublic healthradiation, nonionizingrisk assessment

Identifiers

PMID37722828
PMCPMC10591762

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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.