Evidence map›Paper›PMID 41737443›Full record

ArticleToxicology and environmental health sciences2026

Effects of maternal arsenic exposure on birth outcomes using harmonized data across three birth cohorts.

Zlatan Feric, Daniel Beene, Antonio J Signes-Pastor, Deborah J Watkins, Griffith Gao, Margaret R Karagas, Debra A MacKenzie, David R Kaeli, Justin Manjourides

Abstract read
In one paragraph

Article in Toxicology and environmental health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Zlatan FericDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA.
Daniel BeeneDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Antonio J Signes-PastorInstituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante, Spain.
Deborah J WatkinsDepartment of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Griffith GaoDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA.
Margaret R KaragasDepartment of Epidemiology, Dartmouth Geisel School of Medicine, Hanover, NH, USA.
Debra A MacKenzieCollege of Pharmacy, Community Environmental Health Program, University of New Mexico Health Sciences Center, Albuquerque, NM, USA.
David R KaeliDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA.
Justin ManjouridesDepartment of Public Health and Health Sciences, Northeastern University, Boston, MA, USA.ORCID 0000-0002-2454-4489

Funding

VARIATION IN BIOACCUMULATION AND BIOMAGNIFICATION OF METALS IN NORTHERN US LAKESP42ES007373 · NIEHS · DARTMOUTH COLLEGE · PI KARAGAS, MARGARET RITA · 1995 to 2019
$52.0M
A prospective study of critical environmental exposures in formative early life that impact lifelong health in rural US children: the New Hampshire Birth Cohort StudyUH3OD023275 · OD · DARTMOUTH COLLEGE · PI MARGARET Rita KARAGAS, Juliette Madan · 2018 to 2026
$44.3M
Research Experiences and Training Coordination CoreP42ES017198 · NIEHS · NORTHEASTERN UNIVERSITY · PI HARRIS, SEAN M · 2010 to 2024
$38.6M
UNM Metals Exposure and Toxicity Assessment on tribal Lands in the Southwest (METALS) Superfund Research ProgramP42ES025589 · NIEHS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI BOLT, ALICIA M. · 2017 to 2025
$16.4M
Project 3: Placental Biomarkers of Exposure and Outcome (Marsit)P01ES022832 · NIEHS · DARTMOUTH COLLEGE · PI KARAGAS, MARGARET RITA · 2013 to 2018
$4.7M
Training Program for Quantitative Population Sciences in CancerR25CA134286 · NCI · DARTMOUTH COLLEGE · PI KARAGAS, MARGARET RITA, TOSTESON, TOR D · 2009 to 2018
$3.0M
NCI NIH HHS R25 CA134286NIEHS NIH HHS P01 ES022832NIEHS NIH HHS P42 ES007373NIEHS NIH HHS P42 ES017198NIEHS NIH HHS P42 ES025589NIH HHS UH3 OD023275
6 · The paper itself

Abstract

Objectives: To assess the association between urinary arsenic concentrations and birth outcomes by harmonizing data from three independent birth cohorts. Methods: We harmonized and analyzed data from the Navajo Birth Cohort Study (NBCS), the New Hampshire Birth Cohort Study (NHBCS), and the PROTECT Center study based on Puerto Rico. Birth outcomes of interest included birth weight, head circumference, birth length, gestational age at delivery, incidence of preterm birth, and size for gestational age. Urinary arsenic concentrations were used as the primary exposure metric. Harmonization involved aligning variable formats, adjusting for differences in laboratory methods, and excluding incompatible covariates, such as income and race. Results: Harmonization increased the total sample size ( Conclusions: While harmonizing data across multiple cohorts increased the sample size, it did not necessarily enhance statistical power or strengthen observed associations. Differences in data collection, laboratory methods, and available covariates posed significant challenges. These findings underscore the need for caution when interpreting pooled results from heterogeneous sources and highlight the importance of prospective planning for data harmonization in multi-cohort studies.

Indexed as

Arsenic exposureBirth outcomesCohort studiesData harmonization

Identifiers

PMID41737443
PMCPMC12928382

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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.