Evidence mapPaperPMID 40445873Full record

ArticleEndocrinology, diabetes & metabolism2025

Association Analysis of Insulin Resistance Metabolic Score (METS-IR) and Gestational Diabetes Mellitus: Based on National Health and Nutrition Examination Survey Database From 2007 to 2018.

Hou Wenxuan, Xu Lingyun, Tang Yujie, Zhang Ting, Han Zhen, Luo Xiao, Yang Zhao

Abstract read
In one paragraph

Article in Endocrinology, diabetes & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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3citing papers in PubMed, 1 pooled it
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

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3 · Its place in the literature

Who cites it

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

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Hou WenxuanDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xu LingyunDepartment of Infectious Diseases, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Tang YujieDepartment of Obstetrics and Gynecology, Northwest Women's and Children's Hospital, Xi'an, China.
Zhang TingDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Han ZhenDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Luo XiaoDepartment of Physiology and Pathophysiology, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Yang ZhaoDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.ORCID https://orcid.org/0000-0002-9818-368X

Funding

National Natural Science Foundation of China 82270900National Natural Science Foundation of China 82401987Shaanxi Province Key Industry Innovation Chain (Group)-Social Development Field 2024 SF-ZDCYL-01-10
6 · The paper itself

Abstract

objectiveThis study focused on the association of the Insulin resistance metabolic score (METS-IR) with the risk of gestational diabetes mellitus (GDM) using data from the National Health and Nutrition Examination Survey (NHANES).

methodsData from 6 cycles of NHANES (2007-2018) were analysed. Weighted logistic regression models were constructed to explore the relationship between METS-IR and GDM. Stratified and subgroup analyses with adjustment for confounding factors were carried out to explore the association between METS-IR and GDM.

resultsA total of 5189 samples were analysed. Based on the weighted logistic regression model, Ln(METS-IR) was positively associated with GDM with full adjustment (OR = 1.94, 95% CI 1.08-3.46, p < 0.005). After transferring Ln(METS-IR) into a categorical variable by quartiles, the positive connection between Ln(METS-IR) and GDM was still observed in the higher Ln(METS-IR) group compared to the lowest Ln(METS-IR) interval (OR of 1.86, 1.76 for participants in the Q3(3.73, 3.93) and Q4(3.93, 4.83) quartile, respectively, p < 0.05). The threshold effect model showed that when Ln(METS-IR) ≤ 4, the positive correlation between Ln(METS-IR) and GDM was more significant (β = 2.69, 95% CI 1.55-4.67, p = 0.0004). The area under the ROC curves of Ln(METS-IR) for GDM was 0.603, suggesting Ln(METS-IR) a more systematic predictor for GDM. Specifically, the OR and 95% CIs of GDM for women above high school in the Q2, Q3, and Q4 quartiles were 2.05 (1.04, 4.02), 3.41 (1.72, 6.78) and 2.78 (1.55, 4.99), respectively.

conclusionMETS-IR in women elevates the likelihood of GDM occurrence. METS-IR serves as a comprehensive alternative to HOMA-IR rather than HbA1c and non-based insulin level to predict GDM.

Indexed as

Diabetes, GestationalInsulin ResistanceMetabolic SyndromeAdultCross-Sectional StudiesFemaleHumansNutrition SurveysPregnancyRisk FactorsUnited Statesblood glucoseGDMinsulin resistenceMETS‐IR

Identifiers

PMID40445873
PMCPMC12124419

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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.