Evidence map›Paper›PMID 36251771›Full record

ArticleThe Journal of clinical endocrinology and metabolism2023

Utility of In Vivo Magnetic Resonance Imaging Is Predictive of Gestational Diabetes Mellitus During Early Pregnancy.

Brian Lee, Carla Janzen, Holden Wu, Sitaram S Vangala, Sherin U Devaskar, Kyunghyun Sung

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Brian LeeDepartment of Pediatrics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.ORCID 0000-0002-1101-8404
Carla JanzenDepartment of Obstetrics and Gynecology, Division of Perinatology Maternal Fetal Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Holden WuDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.
Sitaram S VangalaDepartment of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.
Sherin U DevaskarDepartment of Pediatrics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.ORCID 0000-0002-7313-1189
Kyunghyun SungDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.
University of California, Los Angeles · US

Funding

Imaging Innovations for Placental Assessment in Response to Environmental PollutionU01HD087221 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DEVASKAR, SHERIN U, JANZEN, CARLA · 2015 to 2015
$4.3M
Electrochemical Liquid Biopsy Assessing Placental HealthR01HD100015 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DEVASKAR, SHERIN U, WEI, FANG · 2019 to 2023
$3.2M
Biomarkers and Genes Associated with Placental Development and Function in Response to Environmental PollutionR01HD089714 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DEVASKAR, SHERIN U · 2016 to 2020
$3.2M
NICHD NIH HHS R01 HD089714NICHD NIH HHS R01 HD100015NICHD NIH HHS U01 HD087221NIH HHS U01-HD087221
6 · The paper itself

Abstract

contextGestational diabetes (GDM) imposes long-term adverse health effects on the mother and fetus. The role of magnetic resonance imaging (MRI) during early gestation in GDM has not been well-studied.

objectiveTo investigate the role of quantitative MRI measurements of placental volume and perfusion, with distribution of maternal adiposity, during early gestation in GDM.

methodsAt UCLA outpatient antenatal obstetrics clinics, ∼200 pregnant women recruited in the first trimester were followed temporally through pregnancy until parturition. Two placental MRI scans were prospectively performed at 14 to 16 weeks and 19 to 24 weeks gestational age (GA). Placental volume and blood flow (PBF) were calculated from placental regions of interest; maternal adiposity distribution was assessed by subcutaneous fat area ratio (SFAR) and visceral fat area ratio (VFAR). Statistical comparisons were performed using the two-tailed t test. Predictive logistic regression modeling was evaluated by area under the curve (AUC).

resultsOf a total 186 subjects, 21 subjects (11.3%) developed GDM. VFAR was higher in GDM vs the control group, at both time points (P < 0.001 each). Placental volume was greater in GDM vs the control group at 19 to 24 weeks GA (P = 0.01). Combining VFAR, placental volume and perfusion, improved the AUC to 0.83 at 14 to 16 weeks (positive predictive value [PPV] = 0.77, negative predictive value [NPV] = 0.83), and 0.81 at 19 to 24 weeks GA (PPV = 0.73, NPV = 0.86).

conclusionA combination of MRI-based placental volume, perfusion, and visceral adiposity during early pregnancy demonstrates significant changes in GDM and provides a proof of concept for predicting the subsequent development of GDM.

Indexed as

Diabetes, GestationalFemaleHumansMagnetic Resonance ImagingParturitionPlacentaPregnancyPregnancy Trimester, Firstgestational diabetesmaternal adiposityplacenta MRIprediction modelingvisceral and subcutaneous fat

Identifiers

PMID36251771
PMCPMC9844964
OpenAlexW4306643538

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.