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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bioscientifica Ltd
2021
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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 |
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author | Liu, Yusen Chi, Ruiwen Jiang, Yujie Chen, Bicheng Chen, Youli Chen, Zengrui |
author_facet | Liu, Yusen Chi, Ruiwen Jiang, Yujie Chen, Bicheng Chen, Youli Chen, Zengrui |
author_sort | Liu, Yusen |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8630762 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Bioscientifica Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-86307622021-12-02 Triglyceride glycemic index as a biomarker for gestational diabetes mellitus: a systemic review and meta-analysis Liu, Yusen Chi, Ruiwen Jiang, Yujie Chen, Bicheng Chen, Youli Chen, Zengrui Endocr Connect Research 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. Bioscientifica Ltd 2021-10-11 /pmc/articles/PMC8630762/ /pubmed/34636743 http://dx.doi.org/10.1530/EC-21-0234 Text en © The authors https://creativecommons.org/licenses/by-nc/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. (https://creativecommons.org/licenses/by-nc/4.0/) |
spellingShingle | Research Liu, Yusen Chi, Ruiwen Jiang, Yujie Chen, Bicheng Chen, Youli Chen, Zengrui Triglyceride glycemic index as a biomarker for gestational diabetes mellitus: a systemic review and meta-analysis |
title | Triglyceride glycemic index as a biomarker for gestational diabetes mellitus: a systemic review and meta-analysis |
title_full | Triglyceride glycemic index as a biomarker for gestational diabetes mellitus: a systemic review and meta-analysis |
title_fullStr | Triglyceride glycemic index as a biomarker for gestational diabetes mellitus: a systemic review and meta-analysis |
title_full_unstemmed | Triglyceride glycemic index as a biomarker for gestational diabetes mellitus: a systemic review and meta-analysis |
title_short | Triglyceride glycemic index as a biomarker for gestational diabetes mellitus: a systemic review and meta-analysis |
title_sort | triglyceride glycemic index as a biomarker for gestational diabetes mellitus: a systemic review and meta-analysis |
topic | Research |
url | 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 |
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