Evidence map›Paper›PMID 32859175›Full record

ArticleBMC cancer2020

Parental occupational exposure to pesticides and risk of childhood cancer in Switzerland: a census-based cohort study.

Astrid Coste, Helen D Bailey, Mutlu Kartal-Kaess, Raffaele Renella, Aurélie Berthet, Ben D Spycher

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Observational
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Multiple neonicotinoids in children's cerebro-spinal fluid, plasma, and urine.Environmental health : a global access science source · 2022
    Article
  11. 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

6 authors at 4 institutions in 2 countries.

Astrid CosteInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland. astrid.coste@ispm.unibe.ch.ORCID https://orcid.org/0000-0003-2726-1000
Helen D BaileyTelethon Kids Institute, University of Western Australia, Perth, Western Australia, Australia.ORCID https://orcid.org/0000-0002-1259-3793
Mutlu Kartal-KaessDivision of Paediatric Haematology and Oncology, Department of Paediatrics, Inselspital, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0002-2713-3300
Raffaele RenellaPediatric Haematology-Oncology Unit, Division of Pediatrics, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-5041-2308
Aurélie BerthetCenter for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-8625-5156
Ben D SpycherInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0002-1430-5695
University of Bern · CHCentre universitaire de médecine générale et santé publique, Lausanne · CHThe Kids Research Institute Australia · AUUniversity Hospital of Lausanne · CH

Funding

Fondation de France 00081159Krebsforschung Schweiz KFS-4012-08-2016Krebsforschung Schweiz KLS-4592-08-2018Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 320030_176218
6 · The paper itself

Abstract

backgroundPesticide exposure is a suspected risk factor for childhood cancer. We investigated the risk of developing childhood cancer in relation to parental occupational exposure to pesticides in Switzerland for the period 1990-2015.

methodsFrom a nationwide census-based cohort study in Switzerland, we included children aged < 16 years at national censuses of 1990 and 2000 and followed them until 2015. We extracted parental occupations reported at the census closest to the birth year of the child and estimated exposure to pesticides using a job exposure matrix. Cox proportional hazards models, adjusted for potential confounders, were fitted for the following outcomes: any cancer, leukaemia, central nervous system tumours (CNST), lymphoma, non-CNS solid tumours.

resultsAnalyses of maternal (paternal) exposure were based on approximately 15.9 (15.1) million-person years at risk and included 1891 (1808) cases of cancer, of which 532 (503) were leukaemia, 348 (337) lymphomas, 423 (399) CNST, and 588 (569) non-CNS solid tumours. The prevalence of high likelihood of exposure was 2.9% for mothers and 6.7% for fathers. No evidence of an association was found with maternal or paternal exposure for any of the outcomes, except for "non-CNS solid tumours" (High versus None; Father: adjusted HR [95%CI] =1.84 [1.31-2.58]; Mother: 1.79 [1.13-2.84]). No evidence of an association was found for main subtypes of leukaemia and lymphoma. A post-hoc analysis on frequent subtypes of "non-CNS solid tumours" showed positive associations with wide CIs for some cancers.

conclusionOur study suggests an increased risk for solid tumours other than in the CNS among children whose parents were occupationally exposed to pesticides; however, the small numbers of cases limited a closer investigation of cancer subtypes. Better exposure assessment and pooled studies are needed to further explore a possible link between specific childhood cancers types and parental occupational exposure to pesticides.

Indexed as

CensusesAdolescentCase-Control StudiesCentral Nervous System NeoplasmsChildChild, PreschoolFemaleFollow-Up StudiesHumansInfantInfant, NewbornLeukemiaLymphomaMaleMaternal ExposureOccupational ExposurePesticidesChildhood cancerOccupationPesticidesRecord-based cohort

Identifiers

PMID32859175
PMCPMC7456012
OpenAlexW3081641736

What Socratic 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 Socratic graph.