Evidence map›Paper›PMID 40879308›Full record

ArticleActa obstetricia et gynecologica Scandinavica2025

First-trimester biomarkers of gestational diabetes mellitus: A scoping review.

May Swinburne, Samuel Krasner, Sam Mathewlynn, Sally Collins

Abstract readScoping Review
In one paragraph

Article in Acta obstetricia et gynecologica Scandinavica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. First-trimester biomarkers of gestational diabetes mellitus: A scoping review.Acta obstetricia et gynecologica Scandinavica · 2025
    Article
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

4 authors.

May SwinburneNuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK.ORCID 0009-0000-3979-6761
Samuel KrasnerCardiovascular Clinical Research Facility, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.ORCID 0000-0003-3671-6978
Sam MathewlynnNuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK.
Sally CollinsNuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gestational diabetes mellitus (GDM) affects approximately 14% of pregnancies globally, with rising incidence depending on the diagnostic criteria used. In the UK, screening relies on risk factors at booking, followed by a diagnosis via an oral glucose tolerance test in the second trimester. This approach may lack sensitivity and has poor tolerability. Emerging evidence suggests that GDM pathophysiology begins in the first trimester, with biomarkers showing potential for early prediction. Identifying these could enable earlier risk stratification, improved diagnostic pathways, and better maternal-fetal outcomes. This scoping review maps the existing literature on first-trimester biomarkers of GDM to evaluate their clinical utility and integration into predictive models. A literature search was conducted using Medline, Embase, and PubMed to identify studies on first-trimester biomarkers of GDM. Inclusion criteria included (1) studies investigating biomarkers at <15 weeks' gestation; (2) studies that diagnosed GDM using an OGTT with recognized diagnostic guidelines or clearly stated glucose thresholds. A total of 133 studies were included, reporting a wide range of biomarkers (145 in total). PAPP-A was generally lower in GDM, with mixed findings for β-hCG and PlGF. Metabolic markers, including lipid profiles, fasting glucose, and HbA1c, were often elevated. Inflammatory markers, such as WCC, neutrophils, and CRP, were higher in those later diagnosed with GDM. First-trimester biomarkers highlight GDM's complex pathophysiology. PAPP-A shows predictive potential, while metabolic and inflammatory biomarkers suggest early systemic dysfunction. Emerging tools like 3D ultrasonography indicate placental structural changes. Larger studies are needed to validate these biomarkers and integrate them into predictive models to improve maternal-fetal outcomes.

Indexed as

Diabetes, GestationalPregnancy Trimester, FirstBiomarkersFemaleGlucose Tolerance TestHumansPregnancyBiomarkersfirst biomarkers PAPP‐A (pregnancy‐associated plasma protein‐a) PlGF (placental growth factor) inflammatory markers insulin resistancegestational diabetes mellitus pregnancy trimester

Identifiers

PMID40879308
PMCPMC12451201

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.