Evidence map›Paper›PMID 30300816›Full record

ArticleEnvironment international2018

Urinary trace metals individually and in mixtures in association with preterm birth.

Stephani S Kim, John D Meeker, Rachel Carroll, Shanshan Zhao, Michael J Mourgas, Michael J Richards, Max Aung, David E Cantonwine, Thomas F McElrath, Kelly K Ferguson

Open access · hybridAbstract read
In one paragraph

Article in Environment international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 2 pooled it
7.1field-weighted citation impact, top 2% 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

59 citing papers in PubMed, 2 syntheses or guidelines pooled it, 115 citations in OpenAlex.

  1. Pooled it
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  15. The MAK collection for occupational health and safety · 2024
    Review
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  19. Correlates of whole blood metal concentrations among reproductive-aged Black women.Journal of exposure science & environmental epidemiology · 2023
    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

10 authors at 4 institutions in 1 country.

Stephani S KimEpidemiology Branch, National Institute of Environmental Health Sciences, 111 TW, Alexander Dr., Research Triangle Park, NC 27709, USA.
John D MeekerDepartment of Environmental Health Sciences, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
Rachel CarrollBiostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, 111 TW Alexander Dr., Research Triangle Park, NC 27709, USA.
Shanshan ZhaoBiostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, 111 TW Alexander Dr., Research Triangle Park, NC 27709, USA.
Michael J MourgasNSF International, PO Box 130140, 789 N. Dixboro Rd., Ann Arbor, MI 48105, USA.
Michael J RichardsNSF International, PO Box 130140, 789 N. Dixboro Rd., Ann Arbor, MI 48105, USA.
Max AungDepartment of Environmental Health Sciences, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
David E CantonwineDivision of Maternal-Fetal Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St., Boston, MA 02115, USA.
Thomas F McElrathDivision of Maternal-Fetal Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St., Boston, MA 02115, USA.
Kelly K FergusonEpidemiology Branch, National Institute of Environmental Health Sciences, 111 TW, Alexander Dr., Research Triangle Park, NC 27709, USA. Electronic address: kelly.ferguson2@nih.gov.
National Institute of Environmental Health Sciences · USBrigham and Women's Hospital · USNational Sanitation Foundation International · USUniversity of Michigan · US

Funding

University of Michigan ERC-supplement (TRT)T42OH008455 · OH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NEITZEL, RICHARD L · 2005 to 2025
$32.3M
Statistical Services and Methods Development ResourceU2CES026555 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GENNINGS, CHRIS · 2015 to 2025
$26.4M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
Untargeted Analysis ResourceU2CES026553 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MEEKER, JOHN D. · 2015 to 2015
$9.5M
LIFECODES pregnancy cohortZIAES103321 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI FERGUSON, KELLY · 2016 to 2025
$6.1M
Bisphenol A and Phthalate Exposure in Relation to Fetal Growth and Preterm BirthR01ES018872 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MEEKER, JOHN D. · 2010 to 2014
$2.6M
Intramural NIH HHS ZIA ES103321NIEHS NIH HHS P30 ES017885NIEHS NIH HHS R01 ES018872NIEHS NIH HHS U2C ES026553NIEHS NIH HHS U2C ES026555NIOSH CDC HHS T42 OH008455
6 · The paper itself

Abstract

One in ten infants born in the United States is born preterm, or prior to 37 weeks gestation. Exposure to elevated levels of metals, such as lead and arsenic, has been linked to higher risk of preterm birth (PTB), but consequences of lower levels of exposure and less studied metals are unclear. We examined the associations between 17 urinary trace metals individually and in mixtures in relation to PTB. The LIFECODES birth cohort enrolled pregnant women at <15 weeks gestation at Brigham and Women's Hospital in Boston. We selected cases of PTB (n = 99) and unmatched controls (n = 291) and analyzed urine samples for a panel of trace metals (median: 26 weeks gestation). We used logistic regression models to calculate the odds ratio (OR) for PTB and subtypes of PTB based on presentation at delivery. Subtypes included spontaneous and placental PTB. We used elastic net (ENET) regularization to identify individual metals or pairwise interactions that had the strongest associations with PTB, and principal components analysis (PCA) to identify classes of exposures associated with the outcome. We observed increased odds of PTB (OR: 1.41, 95% Confidence Interval [CI]: 1.12, 1.78) in association with an interquartile range difference in urinary copper (Cu). We also observed an increased OR for selenium (OR: 1.33, 95% CI: 0.98, 1.81). ENET selected Cu as the most important trace metal associated with PTB. PCA identified 3 principal components (PCs) that roughly reflected exposure to toxic metals, essential metals, and metals with seafood as a common source of exposure. PCs reflecting essential metals were associated with increased odds of overall and spontaneous PTB. Maternal urinary copper in the third trimester was associated with increased risk of PTB, and statistical analyses for mixtures indicated that after accounting for correlation this metal was the most important statistical predictor of the outcome.

Indexed as

AdultBostonFemaleGestational AgeHumansInfant, NewbornLogistic ModelsMaleMetalsOdds RatioPregnancyPregnancy Trimester, ThirdPremature BirthRisk FactorsTrace ElementsYoung AdultMetalsTrace ElementsMetalsMixtures analysisPreterm birth

Identifiers

PMID30300816
PMCPMC6233299
OpenAlexW2895187052

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.