Evidence map›Paper›PMID 41169474›Full record

ArticleFrontiers in endocrinology2025

Comparison between 75-g and 100-g oral glucose tolerance tests using international association of diabetes and pregnancy study group one-step diagnostic threshold to detect gestational diabetes mellitus.

Li-Li Zhou, Dong Liu, Hong-Qing Song, Yuan-Bo Wu, Wei-Bing Hu, Jian-Feng Wang, Jin-Sheng Wang, Chun-Yan Qi, Sa-Sa Liu

Abstract readComparative Study
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Li-Li ZhouDepartment of Clinical Laboratory, People's Hospital of Tongchuan, Tongchuan, Shaanxi, China.
Dong LiuDepartment of Clinical Laboratory, People's Hospital of Tongchuan, Tongchuan, Shaanxi, China.
Hong-Qing SongDepartment of Clinical Laboratory, People's Hospital of Tongchuan, Tongchuan, Shaanxi, China.
Yuan-Bo WuDepartment of Clinical Laboratory, People's Hospital of Tongchuan, Tongchuan, Shaanxi, China.
Wei-Bing HuDepartment of Clinical Laboratory, People's Hospital of Tongchuan, Tongchuan, Shaanxi, China.
Jian-Feng WangDepartment of Clinical Laboratory, People's Hospital of Tongchuan, Tongchuan, Shaanxi, China.
Jin-Sheng WangDepartment of Gynaecology and Obstetrics, People's Hospital of Tongchuan, Tongchuan, Shaanxi, China.
Chun-Yan QiDepartment of Clinical Laboratory, People's Hospital of Tongchuan, Tongchuan, Shaanxi, China.
Sa-Sa LiuDepartment of Clinical Laboratory, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The oral glucose tolerance test (OGTT) is the primary screening method for gestational diabetes mellitus (GDM), but global implementation criteria remain inconsistent. Methods: This retrospective study analyzed data from 3,907 pregnant women at Tongchuan People's Hospital, including 1,925 in the 75g OGTT group (430 with GDM) and 1,982 in the 100g OGTT group (460 with GDM). A systematic comparison was conducted between the two groups regarding: blood glucose levels at each time point (0h, 1h, 2h);diagnostic rates, positive composition ratios of gestational diabetes mellitus, and risks of adverse maternal and neonatal outcomes based on the International Association of Diabetes and Pregnancy Study Groups (IADPSG) diagnostic criteria; Correlation analysis of blood glucose levels across time points; A glucose-level-adjusted continuous analysis to evaluate the dose-response relationship between dynamic glucose changes and adverse maternal and neonatal outcomes in the overall population. Results: The 100g group had significantly higher 1h and 2h blood glucose levels than the 75g group ( Conclusion: Under the IADPSG criteria, no significant differences in diagnostic efficacy were observed between the 75g and 100g OGTT glucose loads for GDM. Standardizing screening strategies to improve clinical consistency is warranted.

Indexed as

Blood GlucoseDiabetes, GestationalAdultFemaleGlucose Tolerance TestHumansPregnancyPregnancy OutcomeRetrospective StudiesBlood Glucoseadverse outcomediagnostic accuracygestational diabetes mellitusglucose doseoral glucose tolerance testscreening strategy

Identifiers

PMID41169474
PMCPMC12568363

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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.