Evidence map›Paper›PMID 38704950›Full record

ArticleInternational journal of hygiene and environmental health2024

Maternal residential exposure to solvents from industrial sources during pregnancy and childhood cancer risk in California.

Yixin Chen, Darcy Van Deventer, Roch Nianogo, Marco Vinceti, Wei Kang, Myles Cockburn, Noah Federman, Julia E Heck

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of hygiene and environmental health, 2024. 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. Review
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

8 authors.

Yixin ChenDepartment of Epidemiology, Fielding School of Public Health, University of California, UCLA, Los Angeles, CA, 90095-1772, USA.
Darcy Van DeventerDepartment of Epidemiology, Fielding School of Public Health, University of California, UCLA, Los Angeles, CA, 90095-1772, USA.
Roch NianogoDepartment of Epidemiology, Fielding School of Public Health, University of California, UCLA, Los Angeles, CA, 90095-1772, USA; California Center for Population Research, University of California, UCLA, Los Angeles, CA, USA.
Marco VincetiCREAGEN - Environmental, Genetic and Nutritional Epidemiology Research Center, Section of Public Health, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy; Department of Epidemiology, School of Public Health, Boston University, Boston, MA, USA.
Wei KangDepartment of Geography and the Environment, University of North Texas, Denton, TX, 76203-5017, USA.
Myles CockburnNorris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Noah FedermanDepartment of Pediatrics, Geffen School of Medicine, University of California, UCLA, Los Angeles, CA, USA.
Julia E HeckDepartment of Epidemiology, Fielding School of Public Health, University of California, UCLA, Los Angeles, CA, 90095-1772, USA; College of Health and Public Service, University of North Texas, Denton, TX, 76203-5017, USA. Electronic address: julia.heck@unt.edu.

Funding

UCLA CANCER EPIDEMIOLOGY TRAINING PROGRAMT32CA009142 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ZHANG, ZUO-FENG · 1986 to 2024
$6.3M
Air Pollution and Childhood Cancers in CaliforniaR21ES018960 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HECK, JULIA · 2010 to 2011
$421k
Pesticide Exposure and Childhood Cancer StudyR21ES019986 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RITZ, BEATE R. · 2011 to 2012
$409k
Childhood Cancer and Industrial Pollution (CHIP)R03CA252684 · NCI · UNIVERSITY OF NORTH TEXAS · PI HECK, JULIA · 2020 to 2020
$150k
NCI NIH HHS R03 CA252684NCI NIH HHS T32 CA009142NIEHS NIH HHS R21 ES018960NIEHS NIH HHS R21 ES019986
6 · The paper itself

Abstract

backgroundMaternal solvent exposure has been suspected to increase offspring cancer risk. The study aimed to evaluate the associations between maternal residential exposure to solvents from industrial pollution during pregnancy and childhood cancer.

methodsThe present study included 15,744 cancer cases (aged 0-19 years at diagnosis) identified from California Cancer Registry and 283,141 controls randomly selected from California Birth Registry (20:1 frequency-matched by birth year: 1998-2016). We examined industrial releases of tetrachloroethylene and 1,1,1-trichloroethane within 3 km of the birth address, while we used a 5 km buffer for carbon disulfide. We calculated the total exposure from all linked Toxic Release Inventory sites during each index pregnancy and assigned "ever/never" and "high/low exposed/unexposed" exposure, using median values. We performed quadratic decay models to estimate cancer risks associated with maternal solvent exposure in pregnancy.

results1,1,1-Trichloroethane was associated with rhabdomyosarcoma (adjusted Odds Ratio (aOR): 1.96; 95% Confidence Interval (CI): 1.16, 3.32) in the "ever exposed" group. Ever exposure to carbon disulfide was associated with increased risks of medulloblastoma (OR = 1.85, 95% CI 1.01, 3.40) and ependymoma (OR = 1.63, 95% CI 0.97, 2.74).

conclusionsOverall, our findings suggested maternal residential exposure to solvents from industrial sources might be associated with elevated childhood cancer risks.

Indexed as

Maternal ExposureNeoplasmsSolventsAdolescentAdultCaliforniaCarbon DisulfideCase-Control StudiesChildChild, PreschoolFemaleHumansInfantInfant, NewbornMalePregnancy1,1,1-trichloroethaneCarbon DisulfideSolventsTetrachloroethyleneTrichloroethanesChildhood cancerIndustrial toxicsMaternal exposurePregnancySolvents

Identifiers

PMID38704950
PMCPMC11127780

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LicenceCC BY-NC
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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.