In one paragraphArticle in Epigenetics insights, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
8 authors.
Paolo RehoDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.ORCID 0000-0002-1423-8680 Goleen SamariPopulation and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.ORCID 0000-0002-9506-3586 Ronald WapnerDepartment of Obstetrics and Gynecology at Columbia University Irving Medical Center, New York, NY 10032, USA.ORCID 0000-0003-0727-1244 Haotian WuDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.ORCID 0000-0002-6271-0249 Funding
Preterm Birth in Nulliparous Women: An Understudied Population at Great RiskU10HD063036 · NICHD · RESEARCH TRIANGLE INSTITUTE · PI PARKER, CORETTE BREEDEN · 2010 to 2015
$19.5MPrevention of Preterm Birth in high Risk Nulliparous PatientsU10HD063047 · NICHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WAPNER, RONALD · 2010 to 2014
$1.9MEpigenomic Pathways to preterm birthR01HD110429 · NICHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Veronica Barcelona · 2023 to 2026
$1.7MPreterm Birth in Nulliparous Women: An Understudied Population at Great RiskU10HD063053 · NICHD · UNIVERSITY OF UTAH · PI SILVER, ROBERT M. · 2010 to 2014
$1.7MPreterm Birth in Nulliparous Women: An Understudied Population at Great Risk U10HD063020 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GROBMAN, WILLIAM ADAM · 2010 to 2014
$1.6MPreterm Birth in Nulliparous Women: An Understudied Population at Great RiskU10HD063046 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI WING, DEBORAH A · 2010 to 2014
$1.6MPreterm Birth in Nulliparous Women: An Understudied Population at Great RiskU10HD063041 · NICHD · MAGEE-WOMEN'S RES INST AND FOUNDATION · PI SIMHAN, HYAGRIV N · 2010 to 2014
$1.5MPreterm Birth in Nulliparous Women: An Understudied Population at Great RiskU10HD063048 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI PARRY, SAMUEL I. · 2010 to 2014
$1.5MDissecting the Genetic Etiology of Preterm Birth in Nulliparous WomenU10HD063037 · NICHD · INDIANA UNIVERSITY INDIANAPOLIS · PI HAAS, DAVID M. · 2010 to 2014
$1.2MAdverse Outcomes in Nulliparous Pregnancies: The Ohio CollaborativeU10HD063072 · NICHD · CASE WESTERN RESERVE UNIVERSITY · PI MERCER, BRIAN M. · 2010 to 2014
$1.2MLife-course stressors, Mitochondrial Dysfunction, and the Risk of Preterm Birth among Black WomenK99MD020773 · NIMHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Tingting Zhao · 2025 to 2026
$259kNICHD NIH HHS R01 HD110429NICHD NIH HHS U10 HD063020NICHD NIH HHS U10 HD063036NICHD NIH HHS U10 HD063037NICHD NIH HHS U10 HD063041NICHD NIH HHS U10 HD063046NICHD NIH HHS U10 HD063047NICHD NIH HHS U10 HD063048NICHD NIH HHS U10 HD063053NICHD NIH HHS U10 HD063072NIMHD NIH HHS K99 MD020773
6 · The paper itselfAbstract
Approximately 10% US infants are born small for gestational age (SGA), a condition linked to increased morbidity and mortality. Infants born to Black women are twice as likely to be SGA compared with those born to White women. Although maternal factors, including epigenetic modifications, likely contribute to SGA, the underlying biological mechanisms remain poorly understood. We evaluated whether epigenetic modifications in early pregnancy were associated with SGA among pregnant Black women. We analyzed data from 931 pregnant non-Hispanic Black women (6-13 weeks of gestation) enrolled in the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-be (nuMoM2b) cohort across eight academic medical centers. We conducted an epigenome-wide association study using the Infinium MethylationEPIC assay on blood samples from women who delivered SGA infants (
Indexed as
BiomarkerBlack womenDNA methylationEpigenome-wide association studyEpigenomicsPregnancySmall for gestational age
Identifiers
PMID42699274
PMCPMC13544190
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