Evidence map›Paper›PMID 39413344›Full record

ArticleDiabetes care2024

Maternal Glycemic Status and Longitudinal Fetal Body Composition and Organ Volumes Based on Three-Dimensional Ultrasonography.

Kathryn A Wagner, Jessica L Gleason, Zhen Chen, Cuilin Zhang, Stefanie N Hinkle, Dian He, Wesley Lee, Roger B Newman, John Owen, Daniel W Skupski and 5 more

Abstract read
In one paragraph

Article in Diabetes care, 2024. 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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Observational
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

15 authors.

Kathryn A WagnerEpidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD.ORCID 0000-0002-6955-6993
Jessica L GleasonEpidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD.
Zhen ChenBiostatistics and Bioinformatics Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD.
Cuilin ZhangEpidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD.
Stefanie N HinkleDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA.
Dian HeEpidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD.
Wesley LeeDepartment of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX.
Roger B NewmanDepartment of Obstetrics and Gynecology, Medical University of South Carolina, Charleston, SC.
John OwenDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, AL.
Daniel W SkupskiWeill Cornell Medicine-New York Presbyterian Queens, Flushing, NY.
William A GrobmanDepartment of Obstetrics and Gynecology, The Ohio State University Wexner Medical Center, Columbus, OH.
Seth ShermanThe Emmes Company, Rockville, MD.
Fasil Tekola-AyeleEpidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD.
Jagteshwar GrewalDivision of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD.
Katherine L GrantzEpidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD.

Funding

Eunice Kennedy Shriver National Institute of Child Health and Human Development HHSN27500006NICHD NIH HHS HHSN275200800002CNICHD NIH HHS HHSN275200800002INICHD NIH HHS HHSN275200800003CNICHD NIH HHS HHSN275200800003INICHD NIH HHS HHSN275200800012CNICHD NIH HHS HHSN275200800013CNICHD NIH HHS HHSN275200800014CNICHD NIH HHS HHSN275200800028CNICHD NIH HHS HHSN275201000009CNICHD NIH HHS HHSN275201300026INICHD NIH HHS HHSN275201500002CNICHD NIH HHS HHSN275201500002I
6 · The paper itself

Abstract

objectiveGestational diabetes mellitus (GDM) increases the risk of fetal overgrowth as measured by two-dimensional ultrasonography. Whether fetal three-dimensional (3D) soft tissue and organ volumes provide additional insight into fetal overgrowth is unknown. RESEARCH DESIGN AND

methodsWe prospectively evaluated longitudinal 3D fetal body composition and organ volumes in a diverse U.S. singleton pregnancy cohort (2015-2019). Women were diagnosed with GDM, impaired glucose tolerance (IGT), or normal glucose tolerance (NGT). Up to five 3D ultrasound scans measured fetal body composition and organ volumes; trajectories were modeled using linear mixed models. Overall and weekly mean differences in fetal 3D trajectories were tested across glycemic status, adjusted for covariates.

resultsIn this sample (n = 2,427), 5.2% of women had GDM, and 3.0% had IGT. Fetuses of women who developed GDM compared with NGT had larger fractional arm and fractional fat arm volumes from 26 to 35 weeks, smaller fractional lean arm volume from 17 to 22 weeks, and larger abdominal area from 24 to 40 weeks. Fetuses of women with IGT had similar growth patterns, which manifested later in gestation and with larger magnitudes, and had larger fractional lean arm volume. No overall differences were observed among thigh or organ volumes across glycemic status.

conclusionsBody composition differed in fetuses of GDM-complicated pregnancies, including larger arm and abdominal measures across the second and third trimesters. Patterns were similar in IGT-complicated pregnancies except that they occurred later in gestation and with larger magnitudes. Future research should explore how lifestyle and medication may alter fetal fat accumulation trajectories among hyperglycemic pregnancies.

Indexed as

Blood GlucoseDiabetes, GestationalFetal DevelopmentFetusImaging, Three-DimensionalUltrasonography, PrenatalAdultBody CompositionGlucose IntoleranceHumansPregnancyProspective StudiesBlood Glucose

Identifiers

PMID39413344
PMCPMC11655410

What OpenQuestion holds

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Registered trials

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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.