Evidence map›Paper›PMID 41070016›Full record

ArticleFrontiers in nutrition2025

Association of metabolic score for insulin resistance with gestational diabetes mellitus: a multicenter cohort study.

Qiong Li, Ailing Chen, Chenyang Zhao, Ying Zhang, Meng Li, Ying Gu, Yajing Pang, Ping Yu, Chaoyan Yue

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PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

9 authors.

Qiong Li *Department of Obstetrics and Gynecology, The First People's Hospital of Chenzhou, Chenzhou, China.
Ailing Chen *Department of Obstetrics and Gynecology, Women's Hospital of Jiangnan University, Wuxi Maternity and Child Health Care Hospital, Wuxi, China.
Chenyang ZhaoDepartment of Obstetrics and Gynecology, The First People's Hospital of Chenzhou, Chenzhou, China.
Ying ZhangObstetrics & Gynecology Hospital of Fudan University, Shanghai Key Lab of Reproduction and Development, Shanghai Key Lab of Female Reproductive Endocrine Related Diseases, Shanghai, China.
Meng LiObstetrics & Gynecology Hospital of Fudan University, Shanghai Key Lab of Reproduction and Development, Shanghai Key Lab of Female Reproductive Endocrine Related Diseases, Shanghai, China.
Ying GuDepartment of Obstetrics and Gynecology, Women's Hospital of Jiangnan University, Wuxi Maternity and Child Health Care Hospital, Wuxi, China.
Yajing PangWuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China.
Ping YuCenter of Reproductive Medicine, Women's Hospital of Jiangnan University, Wuxi Maternity and Child Health Care Hospital, Wuxi, China.
Chaoyan YueObstetrics & Gynecology Hospital of Fudan University, Shanghai Key Lab of Reproduction and Development, Shanghai Key Lab of Female Reproductive Endocrine Related Diseases, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The metabolic score for insulin resistance (METS-IR) is a novel and effective indicator for assessing insulin resistance. Previous studies have shown that METS-IR is positively associated with the risk of type 2 diabetes. However, the association between METS-IR and gestational diabetes mellitus (GDM) has not yet been clearly clarified. This study aims to investigate the association between METS-IR and GDM as well as its related adverse pregnancy outcomes and to evaluate its predictive value. Methods: A total of 37,770 singleton pregnant women from three hospitals in China between January 2018 and June 2024 were included in the study. METS-IR was calculated using the formula: ln ([high-density lipoprotein cholesterol (HDL-C) (mg/dL)] × [2 × fasting glucose (mg/dL)] + TG (mg/dL) × BMI (kg/m Results: After adjusting for potential confounders, higher METS-IR levels were significantly associated with an increased risk of GDM. Compared with the lowest quartile group (Q1), the risks of GDM in the Q2, Q3, and Q4 groups increased by 13% (OR = 1.13, 95% CI: 1.02-1.25), 59% (OR = 1.59, 95% CI: 1.44-1.75), and 165% (OR = 2.65, 95% CI: 2.42-2.91), respectively. Similar associations were also observed between METS-IR and preterm birth, macrosomia, gestational diabetes mellitus (GDM) complicated with preeclampsia (GDM&PE), and pharmacologically treated GDM class A2 (GDMA2). Smoothed curve fitting suggested an approximately linear dose-response relationship between METS-IR and GDM. Subgroup analysis indicated that the association between METS-IR and GDM remained consistent across different age groups (interaction Conclusion: This study demonstrated that METS-IR is positively associated with GDM risk and its related adverse pregnancy outcomes. METS-IR may serve as a useful tool for risk stratification and early intervention in clinical practice for GDM.

Indexed as

cohort studygestational diabetes mellitusinsulin resistanceMETS-IRmulticenter

Identifiers

PMID41070016
PMCPMC12504880

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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.