Evidence map›Paper›PMID 40650817›Full record

ArticleJournal of endocrinological investigation2025

Assessment of first-trimester insulin resistance indices for gestational diabetes mellitus: a prospective cohort study.

Lirui Zhang, Xin Yan, Wei Zheng, Xianxian Yuan, Ruihua Yang, Junhua Huang, Huiyuan Pang, Yixuan Lu, Yujie Zhang, Tengda Chen and 2 more

Abstract read
In one paragraph

Article in Journal of endocrinological investigation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 3 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

8 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. The Double-Edged Sword of Gestational Insulin Resistance: Navigating Maternal Adaptation and Its Risks for Pregnancy and Offspring Health.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Review
  8. 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

12 authors.

Lirui Zhang *Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Xin Yan *Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Wei ZhengDivision of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Xianxian YuanDivision of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Ruihua YangDivision of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Junhua HuangDivision of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Huiyuan PangDivision of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Yixuan LuDivision of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Yujie ZhangDivision of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Tengda ChenDivision of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Ziyu WangDivision of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Guanghui LiDivision of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China. liguanghui@ccmu.edu.cn.

Funding

High-level construction project of public health technical personnel in Beijing Municipal Health System No. Lingjunrencai-02-02the Capital's Funds for Health Improvement and Research No. 2024-1G-2111
6 · The paper itself

Abstract

backgroundInsulin resistance (IR) is a significant factor in gestational diabetes mellitus (GDM) development. The triglyceride-glucose (TyG) index, triglyceride-glucose body mass index (TyG-BMI), atherogenic index of plasma (AIP), and metabolic score for insulin resistance (METS-IR) are simple and reliable surrogates for assessing IR, but their predictive potential for GDM remains unexplored.

methodsData from 46,992 singleton pregnancies delivered at Beijing Obstetrics and Gynecology Hospital between 2018 and 2022 were prospectively collected. IR indices were calculated using first-trimester blood lipid and glucose measurements. Participants were classified into GDM and non-GDM groups based on oral glucose tolerance test (OGTT) results at 24-28 weeks. Logistic regression and restricted cubic spline analyses assessed the associations between IR indices and GDM, with subgroup analyses to assess results robustness. The area under the receiver operating characteristic (ROC) curve (AUC) was used to evaluate the predictive performance of the IR indices for GDM.

resultsAmong the participants, 6,045 were diagnosed with GDM and 40,947 were not. Binary logistic regression showed a significant positive association between first-trimester IR indices and GDM (p < 0.001). AUCs for GDM prediction were 0.646 for TyG, 0.651 for TyG-BMI, 0.629 for AIP, and 0.641 for METS-IR. A basic model with maternal demographics achieved an AUC of 0.666. Adding TyG-BMI improved the AUC to 0.693.

conclusionsAll four surrogate IR indices measured in the first trimester were positively associated with GDM, with TyG-BMI emerging as the strongest predictor.

Indexed as

BiomarkersDiabetes, GestationalInsulin ResistancePregnancy Trimester, FirstAdultBlood GlucoseBody Mass IndexFemaleFollow-Up StudiesGlucose Tolerance TestHumansPregnancyPrognosisProspective StudiesROC CurveBiomarkersBlood GlucoseGestational diabetes mellitusGlucose and lipid metabolismInsulin resistance

Identifiers

PMID40650817
PMCPMC12398428

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.