Evidence map›Paper›PMID 25736162›Full record

ArticleJournal of exposure science & environmental epidemiology

Dust metal loadings and the risk of childhood acute lymphoblastic leukemia.

Todd P Whitehead, Mary H Ward, Joanne S Colt, Gary Dahl, Jonathan Ducore, Kyndaron Reinier, Robert B Gunier, S Katharine Hammond, Stephen M Rappaport, Catherine Metayer

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of exposure science & environmental epidemiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

10 authors at 5 institutions in 1 country.

Todd P WhiteheadSchool of Public Health, University of California, Berkeley, California, USA.
Mary H WardOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Joanne S ColtOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Gary DahlDepartment of Pediatrics, Lucile Salter Packard Children's Hospital, Stanford University, Palo Alto, California, USA.
Jonathan DucoreDepartment of Pediatrics, School of Medicine, University of California, Davis, Sacramento, California, USA.
Kyndaron ReinierCedars-Sinai Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Robert B GunierSchool of Public Health, University of California, Berkeley, California, USA.
S Katharine HammondSchool of Public Health, University of California, Berkeley, California, USA.
Stephen M RappaportSchool of Public Health, University of California, Berkeley, California, USA.
Catherine MetayerSchool of Public Health, University of California, Berkeley, California, USA.
University of California, Berkeley · USNational Cancer Institute · USCedars-Sinai Medical Center · USStanford University · USUniversity of California, Davis · 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
CLINICAL/IMMUNOLOGIC/GENETIC ANALYSES OF AUTOIMMUNE LYMPHOPROLIFERATIVE SYNDROMEZ01AI000732 · NIAID · NIAID EXTRAMURAL ACTIVITIES · PI RAO, VEMULKONDA · 1995 to 2008
$1.1M
NCI NIH HHS N02 CP011015NIEHS NIH HHS P42 ES004705NIEHS NIH HHS P42ES0470518NIEHS NIH HHS R01 ES009137NIEHS NIH HHS R01ES009137
6 · The paper itself

Abstract

We evaluated the relationship between the risk of childhood acute lymphoblastic leukemia (ALL) and the levels of metals in carpet dust. A dust sample was collected from the homes of 142 ALL cases and 187 controls participating in the California Childhood Leukemia Study using a high volume small surface sampler (2001-2006). Samples were analyzed using microwave-assisted acid digestion in combination with inductively coupled plasma mass spectrometry for arsenic, cadmium, chromium, copper, lead, nickel, tin, tungsten, and zinc. Eight metals were detected in at least 85% of the case and control homes; tungsten was detected in <15% of homes. Relationships between dust metal loadings (μg metal per m(2) carpet) and ALL risk were modeled using multivariable logistic regression, adjusting for the child's age, sex, and race/ethnicity and confounders, including household annual income. A doubling of dust metal loadings was not associated with significant changes in ALL risk (odds ratio (95% confidence interval): arsenic: 0.96 (0.86, 1.07), cadmium: 0.92 (0.81, 1.05), chromium: 1.01 (0.90, 1.14), copper: 0.97 (0.91, 1.03), lead: 1.01 (0.93, 1.10), nickel: 0.95 (0.82, 1.09), tin: 0.96 (0.86, 1.08), and zinc: 0.94 (0.84, 1.05)). Our findings do not support the hypothesis that metals in carpet dust are risk factors for childhood ALL.

Indexed as

ArsenicCadmiumCase-Control StudiesChildChild, PreschoolChromiumCopperDustEnvironmental ExposureFemaleHumansInfantLeadMaleMetalsNickelArsenicCadmiumChromiumCopperDustLeadMetalsNickelTinTungstenZinc

Identifiers

PMID25736162
PMCPMC4560677
OpenAlexW1986556783

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.