Evidence map›Paper›PMID 34139223›Full record

ArticleEnvironmental research2021

Residential exposure to carbamate, organophosphate, and pyrethroid insecticides in house dust and risk of childhood acute lymphoblastic leukemia.

Jessica M Madrigal, Rena R Jones, Robert B Gunier, Todd P Whitehead, Peggy Reynolds, Catherine Metayer, Mary H Ward

Open access · greenAbstract read
In one paragraph

Article in Environmental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 27 citations in OpenAlex.

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  16. Bayesian Group Index Regression for Modeling Chemical Mixtures and Cancer Risk.International journal of environmental research and public health · 2021
    Article
  17. Assessment of Grouped Weighted Quantile Sum Regression for Modeling Chemical Mixtures and Cancer Risk.International journal of environmental research and public health · 2021
    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

7 authors at 5 institutions in 1 country.

Jessica M MadrigalOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, 9609 Medical Center Dr., Rockville, MD, 20850, USA. Electronic address: jessica.madrigal@nih.gov.
Rena R JonesOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, 9609 Medical Center Dr., Rockville, MD, 20850, USA.
Robert B GunierCenter for Environmental Research and Children's Health (CERCH), University of California, School of Public Health, 1995 University Ave., Suite 265, Berkeley, CA, 94704, USA.
Todd P WhiteheadUniversity of California, School of Public Health, 1995 University Ave., Suite 460, Berkeley, CA, 94704, USA.
Peggy ReynoldsUniversity of California, Department of Epidemiology and Biostatistics, 550 16th Street, 2nd Floor, San Francisco, CA, 94158, USA.
Catherine MetayerUniversity of California, School of Public Health, 1995 University Ave., Suite 460, Berkeley, CA, 94704, USA.
Mary H WardOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, 9609 Medical Center Dr., Rockville, MD, 20850, USA.
National Cancer Institute · USUniversity of California, Berkeley · USCenter for Environmental Health · USNational Institutes of Health · USUniversity of California, San Francisco · US

Funding

Training CoreP42ES004705 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI MCHALE, CLIONA · 1987 to 2025
$74.6M
Cancer Risk and Environmental ExposuresZIACP010125 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI PURDUE, MARK · 2009 to 2025
$41.3M
Environmental and Molecular Epidemiology of Childhood LeukemiaR01ES009137 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI METAYER, CATHERINE · 1999 to 2013
$21.1M
UCSF Environmental Research and Translation for Health Center (EaRTH Center)P30ES030284 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JENNIFER C FUNG, Tracey J. Woodruff · 2020 to 2026
$11.2M
Support For Infrastructure of Childhood Leukemia Environmental ResearchR24ES028524 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Robert Gunier · 2017 to 2026
$2.3M
Geographic-based exposure assessment of agricultural ch*R01CA092683 · NCI · COLORADO STATE UNIVERSITY-FORT COLLINS · PI NUCKOLS, JOHN R · 2001 to 2004
$949k
Intramural NIH HHS ZIA CP010125NCI NIH HHS N02 CP011015NCI NIH HHS R01 CA092683NIEHS NIH HHS P30 ES030284NIEHS NIH HHS P42 ES004705NIEHS NIH HHS R01 ES009137NIEHS NIH HHS R24 ES028524
6 · The paper itself

Abstract

backgroundSelf-reported residential use of pesticides has consistently been associated with increased risk of childhood leukemia. However, these studies were limited in their ability to identify specific insecticide active ingredients that were associated with risk.

objectiveWe used household carpet dust measurements of 20 insecticides (two carbamate, 10 organophosphate, two organochlorine, and six pyrethroid) as indicators of exposure and evaluated associations with the risk of childhood acute lymphoblastic leukemia (ALL).

methodsWe conducted a population-based case-control study of 252 ALL cases diagnosed from 1999 to 2007 and 306 birth certificate controls from 35 counties in Central and Northern California. Carpet dust was collected at a second interview (2001-2007) for cases who had not moved since diagnosis (comparable reference date for controls) using a specialized vacuum cleaner in the room where the child spent most of their time or from the household vacuum. Insecticides were categorized as detected (yes/no), or as tertiles or quartiles of their distributions among controls. We calculated odds ratios (OR) and 95% confidence intervals (CI) using unconditional logistic regression adjusting for demographic characteristics, interview year, and season of dust collection.

resultsPermethrin, chlorpyrifos, diazinon, and carbaryl were the most frequently detected insecticide active ingredients. When we compared the highest quartile to the lowest or to non-detections, there was no association with ALL for permethrin (OR Q4 vs. Q1 = 0.81; 95% CI 0.50-1.31), carbaryl (OR Q4 vs. non-detects = 0.61, 95% CI 0.34-1.08) or chlorpyrifos (OR Q4 vs. Q1 = 0.60; 95% CI 0.36-1.00). The highest quartile of diazinon concentration was inversely associated with risk in the single pesticide model but without a monotonic exposure-response (p-trend = 0.14). After adjusting for other common insecticides, the OR was not significant (OR Q4 vs. Q1 = 0.58; 95% CI 0.33-1.05). None of the other insecticides were associated with risk.

conclusionOur results should be interpreted within the limitations of the case-control study design including the use of a single post-diagnosis dust sample and restriction to residentially stable participants, which may have resulted in selection bias. Although difficult to implement, additional studies with assessment of exposure to insecticide active and non-active ingredients are necessary to elucidate the role of these common exposures in childhood leukemia risk.

Indexed as

ChlorpyrifosInsecticidesPesticidesPrecursor Cell Lymphoblastic Leukemia-LymphomaPyrethrinsCarbamatesCase-Control StudiesDustEnvironmental ExposureHumansCarbamatesChlorpyrifosDustInsecticidesPesticidesPyrethrinsCarbamateChildhood acute lymphoblastic leukemiaChildhood leukemiaDustInsecticidesOrganophosphatePyrethroid

Identifiers

PMID34139223
PMCPMC8478811
OpenAlexW3170189424

What OpenQuestion holds

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Registered trials

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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.