Evidence map›Paper›PMID 32272192›Full record

ArticleDiabetes research and clinical practice2020

Early pregnancy prediction of gestational diabetes mellitus risk using prenatal screening biomarkers in nulliparous women.

Brittney M Snyder, Rebecca J Baer, Scott P Oltman, Jennifer G Robinson, Patrick J Breheny, Audrey F Saftlas, Wei Bao, Andrea L Greiner, Knute D Carter, Larry Rand and 2 more

Open access · greenAbstract read
In one paragraph

Article in Diabetes research and clinical practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 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

12 authors at 2 institutions in 1 country.

Brittney M SnyderDepartment of Epidemiology, University of Iowa College of Public Health, Iowa City, IA, United States.
Rebecca J BaerDepartment of Pediatrics, University of California San Diego, La Jolla, CA, United States; California Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, United States.
Scott P OltmanCalifornia Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, United States; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States.
Jennifer G RobinsonDepartment of Epidemiology, University of Iowa College of Public Health, Iowa City, IA, United States.
Patrick J BrehenyDepartment of Biostatistics, University of Iowa College of Public Health, Iowa City, IA, United States.
Audrey F SaftlasDepartment of Epidemiology, University of Iowa College of Public Health, Iowa City, IA, United States.
Wei BaoDepartment of Epidemiology, University of Iowa College of Public Health, Iowa City, IA, United States.
Andrea L GreinerDepartment of Obstetrics and Gynecology, University of Iowa Carver College of Medicine, Iowa City, IA, United States.
Knute D CarterDepartment of Biostatistics, University of Iowa College of Public Health, Iowa City, IA, United States.
Larry RandCalifornia Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, United States; Department of Obstetrics, Gynecology & Reproductive Sciences, University of California San Francisco, San Francisco, CA, United States.
Laura L Jelliffe-PawlowskiCalifornia Preterm Birth Initiative, University of California San Francisco, San Francisco, CA, United States; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States.
Kelli K RyckmanDepartment of Epidemiology, University of Iowa College of Public Health, Iowa City, IA, United States; Department of Pediatrics, University of Iowa Carver College of Medicine, Iowa City, IA, United States. Electronic address: kelli-ryckman@uiowa.edu.
University of Iowa · USUniversity of California, San Francisco · US

Funding

Clinical and Translational Training Program in Pulmonary MedicineT32HL087738 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Lorraine B Ware · 2007 to 2026
$7.0M
NHLBI NIH HHS T32 HL087738
6 · The paper itself

Abstract

aimsTo evaluate the clinical utility of first and second trimester prenatal screening biomarkers for early pregnancy prediction of gestational diabetes mellitus (GDM) risk in nulliparous women.

methodsWe conducted a population-based cohort study of nulliparous women participating in the California Prenatal Screening Program from 2009 to 2011 (n = 105,379). GDM was ascertained from hospital discharge records or birth certificates. Models including maternal characteristics and prenatal screening biomarkers were developed and validated. Risk stratification and reclassification were performed to assess clinical utility of the biomarkers.

resultsDecreased levels of first trimester pregnancy-associated plasma protein A (PAPP-A) and increased levels of second trimester unconjugated estriol (uE

conclusionsPAPP-A, uE

Indexed as

AdultBiomarkersCohort StudiesDiabetes, GestationalFemaleHumansPregnancyPrenatal DiagnosisBiomarkersBiomarkersClinical utilityGestational diabetes mellitusPrediction modelPrenatal screeningRisk management

Identifiers

PMID32272192
PMCPMC7269799
OpenAlexW3015510143

What OpenQuestion holds

Textmetadata
LicenceTDM
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.