Article in Environmental science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing 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.
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.
Zeyu LiCenter on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Baltimore, Maryland 21205, United States.ORCID 0009-0007-8284-319X
Guoying WangCenter on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Baltimore, Maryland 21205, United States.
Xiumei HongCenter on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Baltimore, Maryland 21205, United States.
Stephen P JuraschekDepartment of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, CO-1309, #204, Boston, Massachusetts 02215, United States.
Long H NgoDepartment of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, CO-1309, #204, Boston, Massachusetts 02215, United States.
Xiaobin WangCenter on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Baltimore, Maryland 21205, United States.
Mingyu ZhangDepartment of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, CO-1309, #204, Boston, Massachusetts 02215, United States.ORCID 0000-0003-3628-0983
Funding
Preterm Birth, Maternal and Cord Blood Metabolome, and Child Metabolic RiskR01HD041702 · NICHD · LURIE CHILDREN'S HOSPITAL OF CHICAGO · PI Frank B Hu, XIAOBIN WANG · 2001 to 2026
$11.1M
Immune Development Across the Life Course: Integrating Exposures and Multi-Omics in the Boston Birth CohortU01ES034983 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI Hongkai Ji, Harry Benjamin Larman · 2022 to 2026
$3.9M
Functional RNA Modifications, Micronutrient Exposure, Developmental DisabilitiesR01ES031521 · NIEHS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI WANG, XIAOBIN, XIE, HEHUANG · 2020 to 2024
$1.9M
Maternal Exposure to Low Level Mercury, Metabolome, and Child Cardiometabolic Risk in Multi-Ethnic Prospective Birth CohortsR01ES031272 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI WANG, GUOYING, WANG, XIAOBIN · 2020 to 2024
$1.2M
Interplay of the T Cell Repertoire Development and Early Life Exposure on Incident Risk of Peanut AllergyR21AI171059 · NIAID · JOHNS HOPKINS UNIVERSITY · PI HONG, XIUMEI, SMITH, KELLIE NICOLE · 2023 to 2024
$450k
Inter-Generational Cardiometabolic Risk: Explore Underlying Immune PathwaysR21HD116039 · NICHD · JOHNS HOPKINS UNIVERSITY · PI WANG, GUOYING · 2024 to 2025
We investigated the associations of pregnancy levels of heavy metals and trace elements with the risk of gestational diabetes mellitus (GDM). Participating pregnant women were from the Boston Birth Cohort. We measured levels of mercury, lead, cadmium, selenium, and manganese in maternal red blood cells collected after delivery. We verified the GDM diagnosis using ICD codes, medication history, and plasma glucose profile abstracted from medical records. We used modified Poisson regression and Bayesian kernel machine regression models to examine associations of metals and elements, individually and as a mixture, with GDM. We stratified the analyses by race and ethnicity. Among 1256 pregnant women, 58% were non-Hispanic Black and 22% were Hispanic. Overall, each doubling of mercury and manganese levels was associated with 1.14 (95% CI: 1.01-1.28) and 0.65 (95% CI: 0.50-0.84) times the risk of GDM, respectively. In the race- and ethnicity-stratified analyses, the mercury-GDM association was stronger among Black women, and higher selenium levels were associated with higher GDM risk only among Hispanic women (
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 Socratic graph.