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Triglyceride glycemic index as a biomarker for gestational diabetes mellitus: a systemic review and meta-analysis

BACKGROUND: Triglyceride glycemic (TyG) index is a novel tool for assessing insulin resistance (IR). Recently, TyG index as a potential biomarker for gestational diabetes mellitus (GDM) has been studied, but its performance is yet inconclusive. Thus, we performed this systemic review and meta-analys...

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Detalles Bibliográficos
Autores principales: Liu, Yusen, Chi, Ruiwen, Jiang, Yujie, Chen, Bicheng, Chen, Youli, Chen, Zengrui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bioscientifica Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8630762/
https://www.ncbi.nlm.nih.gov/pubmed/34636743
http://dx.doi.org/10.1530/EC-21-0234
Descripción
Sumario:BACKGROUND: Triglyceride glycemic (TyG) index is a novel tool for assessing insulin resistance (IR). Recently, TyG index as a potential biomarker for gestational diabetes mellitus (GDM) has been studied, but its performance is yet inconclusive. Thus, we performed this systemic review and meta-analysis to evaluate the performance of TyG index in predicting GDM. METHODS: Studies published before March 1, 2021, with comparison of TyG index between GDM patients and healthy controls were retrieved from multiple databases (PubMed, Web of Science, The Cochrane Library, and Embase). The mean difference (MD) of TyG index in GDM patients and healthy controls was pooled using random-effect models. RESULTS: Differentiation of TyG index between patients with GDM and controls showed significant results. Overall, there is a four-fold increase in TyG index in GDM patients compared with controls (MD: 0.22, 95% CI: 0.07–0.36, P = 0.003; I(2) = 71%, P = 0.009). In subgroup analyses according to gestational time, TyG index in the second trimester predicted GDM with low heterogeneity (MD: 0.26, 95% CI: 0.15–0.37, P < 0.001; I(2) = 0%, P = 0.54), while no such correlation was found in the first trimester. CONCLUSION: TyG index, especially in the second trimester, could be a promising biomarker for predicting GDM.