Evidence map›Paper›PMID 41029650›Full record

ArticleBMC endocrine disorders2025

Correlation between the first-trimester non-traditional lipid parameters with the risk of gestational diabetes mellitus in pregnancy.

Junmiao Xiang, Ruru Bao, Yundong Pan, Zhuhua Cai

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Article in BMC endocrine disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Junmiao XiangDepartment of Gynecology and Obstetrics, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China.
Ruru BaoDepartment of Gynecology and Obstetrics, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China.
Yundong PanDepartment of Gynecology and Obstetrics, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China.
Zhuhua CaiDepartment of Gynecology and Obstetrics, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China. caizhuhua12@163.com.

Funding

Foundation of Wenzhou Municipal Health Commission 2020041
6 · The paper itself

Abstract

introductionGestational diabetes mellitus (GDM) is a common complication in pregnancy, linked to adverse outcomes for mothers and infants. Elevated levels of non-traditional lipid parameters have been associated with metabolic disorders. This study explores the predictive value of first-trimester non-traditional lipid parameters for GDM diagnosis at 24-28 weeks.

methodsA retrospective study involving 1197 patients from The Third Affiliated Hospital of Wenzhou Medical University (January 2019 - August 2023) examined the correlation between non-traditional lipid parameters and GDM using logistic regression and stratified analyses. The diagnostic performance of the lipid parameters was evaluated using the area under the curve (AUC) method. Pearson correlation analysis clarified the relationship between non-traditional lipid parameters and neonatal birth weight, as well as their association with oral glucose tolerance test (OGTT) glycemic measures.

resultsAmong 1197 participants, 201 were diagnosed with GDM. The GDM group exhibited significantly higher levels of non-traditional lipid parameters. Multivariate analysis identified these lipid measures, particularly Non-HDL-C with an AUC of 64.0% (95% CI: 59.6%-68.4%), as independent predictors of GDM across all models (P < 0.05), except for RC/HDL-C in model3. Most non-traditional lipid parameters demonstrated a linear relationship with GDM, with the exception of Non-HDL-C. Strong positive correlations were observed between fasting blood glucose levels and lipid ratios such as Non-HDL-C/HDL-C, LDL/HDL-C, TG/HDL-C, TC/HDL-C, and RC/HDL-C in patients with GDM. No significant differences were found in non-traditional lipid parameters among the single, double, and triple positive groups.

conclusionFirst-trimester non-traditional lipid parameters are significant predictors of GDM, particularly when considering fasting blood glucose levels. These parameters offer potential value for early diagnosis.

Indexed as

BiomarkersDiabetes, GestationalLipidsPregnancy Trimester, FirstAdultBlood GlucoseFemaleFollow-Up StudiesGlucose Tolerance TestHumansPregnancyPrognosisRetrospective StudiesRisk FactorsBiomarkersBlood GlucoseLipidsFirst-trimesterGestational diabetes mellitusNeonatal birth weightNon-traditional lipid parametersOral glucose tolerance test

Identifiers

PMID41029650
PMCPMC12482408

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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.