Evidence map›Paper›PMID 39446494›Full record

ArticleThe Journal of clinical endocrinology and metabolism2025

Heterogeneity of Gestational Diabetes and Risk for Adverse Pregnancy Outcome: A Cohort Study.

Yixin Gong, Qunhua Wang, Suyu Chen, Yujie Liu, Chenghua Li, Rong Kang, Jing Wang, Tian Wei, Qin Wang, Xianming Li and 4 more

Abstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Observational
  4. Article
  5. Review
  6. 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

14 authors.

Yixin GongDepartment of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China.ORCID 0000-0003-3496-6498
Qunhua WangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei 230001, China.
Suyu ChenDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei 230001, China.
Yujie LiuDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei 230001, China.
Chenghua LiDepartment of Cardiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China.
Rong KangDepartment of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China.
Jing WangDepartment of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China.
Tian WeiDepartment of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China.
Qin WangDepartment of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China.
Xianming LiDepartment of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China.
Sihui LuoDepartment of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China.
Jianping WengDepartment of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China.
Xueying ZhengDepartment of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China.ORCID 0000-0001-8395-9476
Yu DingDepartment of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China.ORCID 0000-0003-1617-2125

Funding

Chinese Academy of Sciences XDB38010100Clinical Medical Research Transformation Project 202204295107020026National Natural Science Foundation of China 82100822National Natural Science Foundation of China 82300904
6 · The paper itself

Abstract

contextDiabetes is increasingly recognized as a heterogeneous disease, with clinical characteristics and outcome risks varying across different phenotypes. Evidence on heterogeneity of gestational diabetes (GDM) is yet to be provided.

objectiveTo investigate the insulin physiology and pregnancy outcomes of GDM phenotypes characterized by fasting hyperglycemia or postload hyperglycemia.

methodsA total of 2050 women who underwent a 75-g oral glucose tolerance test were prospectively recruited and followed until delivery. Women were categorized into normoglycemia (NGT, n = 936), isolated impaired fasting glucose (gestational-IFG, n = 378), and isolated impaired postload glucose tolerance (gestational-IGT, n = 736) groups. Fasting blood samples at mid-pregnancy were collected to measure C-peptide and insulin concentrations. Homeostasis model assessment (HOMA) and quantitative insulin sensitivity check index (QUICKI) were used to evaluate insulin physiology. Maternal and neonatal outcomes were recorded.

resultsGestational-IFG had greater insulin resistance (HOMA-IR 3.11 vs 2.25, QUICKI-C-peptide 0.94 vs 1.03, both P < .01), and gestational-IGT had worse β-cell function (C-peptide 2.00 vs 2.26 ng/mL, P < .05), when compared to one another. Gestational-IFG was more strongly associated with excessive gestational weight gain (risk ratio [RR] 1.62; 95% CI, 1.18-2.23) and large-for-gestational-age infants (RR 1.45; 95% CI, 1.03-2.03) than gestational-IGT. The risk for neonatal brain injury was increased in gestational-IGT (RR 2.03; 95% CI, 1.04-4.09), but not in gestational-IFG (P = .439). Gestational-IGT showed a stronger association with the risk of preterm birth compared to gestational-IFG (RR 1.80; 95% CI, 1.02-3.36).

conclusionGDM exhibits distinct insulin physiology profiles. Pregnancy outcome varies between each phenotype. These findings provide evidence on risk stratification and diverse strategies for the treatment of GDM.

Indexed as

Diabetes, GestationalPregnancy OutcomeAdultBlood GlucoseCohort StudiesC-PeptideFemaleGlucose IntoleranceGlucose Tolerance TestHumansHyperglycemiaInfant, NewbornInsulinInsulin ResistancePregnancyProspective StudiesBlood GlucoseC-PeptideInsulingestational diabetesheterogeneityinsulin resistancepregnancy outcomes

Identifiers

PMID39446494
PMCPMC12187195

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.