Evidence map›Paper›PMID 39175575›Full record

ArticleFrontiers in endocrinology2024

Associations between first-trimester screening biomarkers and maternal characteristics with gestational diabetes mellitus in Chinese women.

Yu-Ting Lu, Chie-Pein Chen, Fang-Ju Sun, Yi-Yung Chen, Liang-Kai Wang, Chen-Yu Chen

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

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

6 authors.

Yu-Ting LuDepartment of Obstetrics and Gynecology, MacKay Memorial Hospital, Taipei, Taiwan.
Chie-Pein ChenDepartment of Obstetrics and Gynecology, MacKay Memorial Hospital, Taipei, Taiwan.
Fang-Ju SunDepartment of Medical Research, MacKay Memorial Hospital, Taipei, Taiwan.
Yi-Yung ChenDepartment of Obstetrics and Gynecology, MacKay Memorial Hospital, Taipei, Taiwan.
Liang-Kai WangDepartment of Obstetrics and Gynecology, MacKay Memorial Hospital, Taipei, Taiwan.
Chen-Yu ChenDepartment of Obstetrics and Gynecology, MacKay Memorial Hospital, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gestational diabetes mellitus (GDM) can result in adverse maternal and neonatal outcomes. Predicting those at high risk of GDM and early interventions can reduce the development of GDM. The aim of this study was to examine the associations between first-trimester prenatal screening biomarkers and maternal characteristics in relation to GDM in Chinese women. Methods: We conducted a retrospective cohort study of singleton pregnant women who received first-trimester aneuploidy and preeclampsia screening between January 2019 and May 2021. First-trimester prenatal screening biomarkers, including pregnancy-associated plasma protein A (PAPP-A), free beta-human chorionic gonadotropin, and placental growth factor (PLGF), along with maternal characteristics, were collected for analysis in relation to GDM. Receiver operating characteristic (ROC) curve and logistic regression analyses were used to evaluate variables associated with GDM. Results: Of the 1452 pregnant women enrolled, 96 developed GDM. PAPP-A (5.01 vs. 5.73 IU/L, Conclusion: Downregulation of first-trimester PAPP-A and PLGF was associated with the development of GDM. Combining first-trimester biomarkers with maternal characteristics could be valuable for predicting the risk of GDM.

Indexed as

BiomarkersDiabetes, GestationalPregnancy-Associated Plasma Protein-APregnancy Trimester, FirstAdultChinaChorionic Gonadotropin, beta Subunit, HumanEast Asian PeopleFemaleHumansPlacenta Growth FactorPre-EclampsiaPregnancyPrenatal DiagnosisRetrospective StudiesBiomarkersChorionic Gonadotropin, beta Subunit, HumanPAPPA protein, humanPlacenta Growth FactorPregnancy-Associated Plasma Protein-Afirst-trimester biomarkersgestational diabetes mellitusmaternal characteristicsplacental growth factorpregnancy-associated plasma protein A

Identifiers

PMID39175575
PMCPMC11339418

What Socratic 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 Socratic graph.