Evidence map›Paper›PMID 28319818›Full record

ArticleEnvironmental research2017

A task-based assessment of parental occupational exposure to pesticides and childhood acute lymphoblastic leukemia.

Robert B Gunier, Alice Kang, S Katharine Hammond, Kyndaron Reinier, C Suzanne Lea, Jeffrey S Chang, Monique Does, Ghislaine Scelo, Janice Kirsch, Vonda Crouse and 3 more

Abstract read
In one paragraph

Article in Environmental research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Observational
  7. Article
  8. Agricultural intensification and childhood cancer in Brazil.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  9. Article
  10. Incidence and Mortality Rates for Childhood Acute Lymphoblastic Leukemia in Puerto Rican Hispanics, 2012-2016.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

13 authors at 10 institutions in 3 countries.

Robert B GunierSchool of Public Health, University of California, Berkeley, Berkeley, CA, USA. Electronic address: gunier@berkeley.edu.
Alice KangSchool of Public Health, University of California, Berkeley, Berkeley, CA, USA.
S Katharine HammondSchool of Public Health, University of California, Berkeley, Berkeley, CA, USA.
Kyndaron ReinierCedars-Sinai Medical Center, Heart Institute, Los Angeles, CA, USA.
C Suzanne LeaEast Carolina University, Brody School of Medicine, Department of Public Health, Greenville, NC, USA.
Jeffrey S ChangNational Institute of Cancer Research, National Health Research Institutes, Tainan, Taiwan.
Monique DoesDivision of Research, Kaiser Permanente Medical Group, Oakland, California, USA.
Ghislaine SceloInternational Agency for Research on Cancer, Lyon, France.
Janice KirschMedical Oncologist and Hematologist, Berkeley, CA, USA.
Vonda CrouseValley Children's Hospital, Madera, CA, USA.
Robert CooperDepartment of Pediatric Hematology/Oncology, Kaiser Permanente Los Angeles Medical Center, Los Angeles, CA, USA.
Patricia QuinlanUniversity of California, San Francisco, Department of Medicine, San Francisco, CA, USA.
Catherine MetayerSchool of Public Health, University of California, Berkeley, Berkeley, CA, USA.
Berkeley Public Health Division · USCedars-Sinai Medical Center · USCentre International de Recherche sur le Cancer · FRChildren's Hospital Central California · USEast Carolina University · USKaiser Permanente · USKaiser Permanente Oakland Medical Center · USNational Health Research Institutes · TWUniversity of California, Berkeley · USUniversity of California, San Francisco · US

Funding

Training CoreP42ES004705 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI SMITH, MARTYN T · 1987 to 2025
$74.6M
Environmental and Molecular Epidemiology of Childhood LeukemiaR01ES009137 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI METAYER, CATHERINE · 1999 to 2013
$21.1M
Project 3 - Prenatal Exposures, Constitutive Genetics, DNA Methylation & Childhood LeukemiaP50ES018172 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI METAYER, CATHERINE · 2015 to 2019
$3.8M
Project 3: Prenatal Exposure, DNA Methylation & Childhood LeukemiaP01ES018172 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI METAYER, CATHERINE · 2009 to 2013
$3.7M
Parental Occupational Pesticide Exposure Assessment and Childhood Leukemia RiskR03CA153048 · NCI · UNIVERSITY OF CALIFORNIA BERKELEY · PI METAYER, CATHERINE · 2011 to 2012
$103k
NCI NIH HHS R03 CA153048NIEHS NIH HHS P01 ES018172NIEHS NIH HHS P42 ES004705NIEHS NIH HHS P50 ES018172NIEHS NIH HHS R01 ES009137World Health Organization 001
6 · The paper itself

Abstract

objectivesAssociations between parental occupational pesticide exposure and childhood acute lymphoblastic leukemia (ALL) vary across studies, likely due to different exposure assessment methodologies.

methodsWe assessed parental occupational pesticide exposure from the year before pregnancy to the child's third year of life for 669 children diagnosed with ALL and 1021 controls. We conducted expert rating using task-based job modules (JM) to estimate exposure to pesticides among farmer workers, gardeners, agricultural packers, and pesticide applicators. We compared this method to (1) partial JM using job titles and a brief description, but without completing the task-based questionnaire, and (2) job exposure matrix (JEM) linking job titles to the International Standard Classifications of Occupation Codes. We used unconditional logistic regression to calculate odds ratios (OR) and 95% confidence intervals (95% CI) for ALL cancer risk and pesticide exposure adjusting for child's sex, age, race/ethnicity and household income.

resultsCompared to complete JMs, partial JMs and JEM led to 3.1% and 9.4% of parents with pesticide exposure misclassified, respectively. Misclassification was similar in cases and controls. Using complete JMs, we observed an increased risk of ALL for paternal occupational exposure to any pesticides (OR=1.7; 95% CI=1.2, 2.5), with higher risks reported for pesticides to treat nut crops (OR=4.5; 95% CI=0.9, 23.0), and for children diagnosed before five years of age (OR=2.3; 95% CI: 1.3, 4.1). Exposure misclassification from JEM attenuated these associations by about 57%. Maternal occupational pesticide exposure before and after birth was not associated with ALL.

conclusionsThe risk of ALL was elevated in young children with paternal occupational pesticide exposure during the perinatal period, using more detailed occupational information for exposure classification.

Indexed as

Maternal ExposureOccupational ExposurePaternal ExposureAdolescentCaliforniaChildChild, PreschoolFemaleHumansInfantInfant, NewbornLogistic ModelsMalePesticidesPrecursor Cell Lymphoblastic Leukemia-LymphomaPregnancyPesticidesChildhood leukemiaJob-specific modulesOccupational exposurePesticides

Identifiers

PMID28319818
PMCPMC5466848
OpenAlexW2595598475

What OpenQuestion holds

Textmetadata
LicenceTDM
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.