Evidence map›Paper›PMID 30048548›Full record

SynthesisPloS one2018

First trimester prenatal screening biomarkers and gestational diabetes mellitus: A systematic review and meta-analysis.

Brittney M Donovan, Nichole L Nidey, Elizabeth A Jasper, Jennifer G Robinson, Wei Bao, Audrey F Saftlas, Kelli K Ryckman

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
5.7field-weighted citation impact, top 4% 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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it, 56 citations in OpenAlex.

  1. Pooled it
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  4. Combined triple screening and BMI models for gestational diabetes prediction.Turkish journal of obstetrics and gynecology · 2026
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  6. First-trimester biomarkers of gestational diabetes mellitus: A scoping review.Acta obstetricia et gynecologica Scandinavica · 2025
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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

7 authors at 1 institution in 1 country.

Brittney M DonovanDepartment of Epidemiology, University of Iowa College of Public Health, Iowa City, Iowa, United States of America.ORCID 0000-0001-8356-3965
Nichole L NideyDepartment of Epidemiology, University of Iowa College of Public Health, Iowa City, Iowa, United States of America.
Elizabeth A JasperDepartment of Epidemiology, University of Iowa College of Public Health, Iowa City, Iowa, United States of America.
Jennifer G RobinsonDepartment of Epidemiology, University of Iowa College of Public Health, Iowa City, Iowa, United States of America.
Wei BaoDepartment of Epidemiology, University of Iowa College of Public Health, Iowa City, Iowa, United States of America.
Audrey F SaftlasDepartment of Epidemiology, University of Iowa College of Public Health, Iowa City, Iowa, United States of America.
Kelli K RyckmanDepartment of Epidemiology, University of Iowa College of Public Health, Iowa City, Iowa, United States of America.
University of Iowa · US

Funding

Pulmonary Toxicology Facility CoreP30ES005605 · NIEHS · UNIVERSITY OF IOWA · PI Jong Sung Kim · 1990 to 2026
$40.5M
NIEHS NIH HHS P30 ES005605
6 · The paper itself

Abstract

Biomarkers commonly assessed in prenatal screening have been associated with a number of adverse perinatal and birth outcomes. However, it is not clear whether first trimester measurements of prenatal screening biomarkers are associated with subsequent risk of gestational diabetes mellitus (GDM). We aimed to systematically review and statistically summarize studies assessing the relationship between first trimester prenatal screening biomarker levels and GDM development. We comprehensively searched PubMed/MEDLINE, EMBASE, CINAHL, and Scopus (from inception through January 2018) and manually searched the reference lists of all relevant articles. We included original, published, observational studies examining the association of first trimester pregnancy associated plasma protein-A (PAPP-A) and/or free β-human chorionic gonadotropin (free β-hCG) levels with GDM diagnosis. Mean differences were calculated comparing PAPP-A and free β-hCG multiples of median (MoM) levels between women who developed GDM and those who did not and were subsequently pooled using two-sided random-effects models. Our meta-analysis of 13 studies on PAPP-A and nine studies on free β-hCG indicated that first trimester MoM levels for both biomarkers were lower in women who later developed GDM compared to women who remained normoglycemic throughout pregnancy (MD -0.17; 95% CI -0.24, -0.10; MD -0.04; 95% CI -0.07-0.01). There was no evidence for between-study heterogeneity among studies on free β-hCG (I2 = 0%). A high level of between-study heterogeneity was detected among the studies reporting on PAPP-A (I2 = 90%), but was reduced after stratifying by geographic location, biomarker assay method, and timing of GDM diagnosis. Our meta-analysis indicates that women who are diagnosed with GDM have lower first trimester levels of both PAPP-A and free β-hCG than women who remain normoglycemic throughout pregnancy. Further assessment of the predictive capacity of these biomarkers within large, diverse populations is needed.

Indexed as

BiomarkersChorionic Gonadotropin, beta Subunit, HumanDiabetes, GestationalFemaleHumansPregnancyPregnancy-Associated Plasma Protein-APregnancy Trimester, FirstPrenatal DiagnosisBiomarkersChorionic Gonadotropin, beta Subunit, HumanPregnancy-Associated Plasma Protein-A

Identifiers

PMID30048548
PMCPMC6062092
OpenAlexW2884375703

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.