Evidence map›Paper›PMID 40983922›Full record

ArticleBMC endocrine disorders2025

Relationship between TYG mediated pregnancy diabetes history and SII in American women: a retrospective cohort study of NHANES 2011-2018.

Yanan Duan, Ru Zhang, Yan Zhang, Yuanxuan Ma, Miaomiao Li, Wenke Zhang, Shiguo Liu

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PubMed Full text at PMC Publisher
In one paragraph

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yanan DuanDepartment of Gynecology, Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong Province, China.
Ru ZhangDepartment of Medical Genetics, Affiliated Hospital of Qingdao University, Qingdao, 266003, Shandong Province, China.
Yan ZhangDepartment of Obstetrics, Affiliated Hospital of Qingdao University, Qingdao, 266003, Shandong Province, China.
Yuanxuan MaDepartment of Medical Genetics, Affiliated Hospital of Qingdao University, Qingdao, 266003, Shandong Province, China.
Miaomiao LiDepartment of Medical Genetics, Affiliated Hospital of Qingdao University, Qingdao, 266003, Shandong Province, China.
Wenke ZhangDepartment of Obstetrics, Affiliated Hospital of Qingdao University, Qingdao, 266003, Shandong Province, China.
Shiguo LiuDepartment of Medical Genetics, Affiliated Hospital of Qingdao University, Qingdao, 266003, Shandong Province, China. liushiguo@qdu.edu.cn.

Funding

Natural Science Fund Project of Shandong Province ZR2019MH127the Le Ling Leading Research Program Research Fund Project 60
6 · The paper itself

Abstract

backgroundGestational Diabetes Mellitus (GDM) is known to pose long-term health risks, but the biological mechanisms are not fully understood. The role of the Triglyceride-Glucose Index (TyG) in mediating these effects requires further exploration.

methodThis study investigated the mediation effect of the TyG index on the relationship between GDM history and the Systemic Inflammatory Index (SII) using retrospective data analysis. Mediation analysis quantified the contribution of the TyG index.

resultMultivariate regression analysis confirmed that the TyG index mediated approximately 40% of the relationship between a history of GDM and elevated SII, highlighting a significant linkage (β = 0.23, 95% CI: 0.18 to 0.28, P < 0.0001 for TyG; β = 28.95, 95% CI: 22.88 to 35.02, P < 0.0001 for SII). The TyG index was found to mediate approximately 40% of the effect of GDM history on SII, illustrating a significant biological link. These findings highlight the role of metabolic health in influencing systemic inflammation levels associated with GDM.

conclusionThe study emphasizes the importance of monitoring and managing metabolic and cardiovascular health in women with a history of GDM to mitigate long-term health risks. Future research should focus on prospective studies and the utilization of biomarkers to fully understand the impact of GDM and optimize intervention strategies.

Indexed as

BiomarkersBlood GlucoseDiabetes, GestationalInflammationTriglyceridesAdultFemaleFollow-Up StudiesHumansNutrition SurveysPregnancyPrognosisRetrospective StudiesUnited StatesBiomarkersBlood GlucoseTriglyceridesChronic inflammationGestational Diabetes MellitusMediation analysisSystemic Inflammatory IndexTriglyceride-Glucose Index

Identifiers

PMID40983922
PMCPMC12455841

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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.