Ultrasonographic abdominal adipose tissue thickness for the prediction of gestational diabetes mellitus: A meta-analysis
Obesity has been linked to the risk of gestational diabetes mellitus (GDM). The meta-analysis aimed to assess the predictive role of ultrasonographic measurements of the abdominal adipose tissue thickness for GDM in pregnant women. Cohort studies evaluating the association between abdominal subcuta...
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Association of Basic Medical Sciences of Federation of Bosnia and Herzegovina
2023-12-01
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Series: | Biomolecules & Biomedicine |
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Online Access: | https://www.bjbms.org/ojs/index.php/bjbms/article/view/9902 |
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author | Shuhong Hou Xiaoqing Xiao Dongping Chen |
author_facet | Shuhong Hou Xiaoqing Xiao Dongping Chen |
author_sort | Shuhong Hou |
collection | DOAJ |
description |
Obesity has been linked to the risk of gestational diabetes mellitus (GDM). The meta-analysis aimed to assess the predictive role of ultrasonographic measurements of the abdominal adipose tissue thickness for GDM in pregnant women. Cohort studies evaluating the association between abdominal subcutaneous and/or visceral adipose thickness (SAT and/or VAT) and subsequent risk of GDM were retrieved from PubMed, Embase, and Web of Science databases. Only studies with SAT/VAT measured before the diagnosis of GDM were included. Random-effects models incorporating the influence of potential heterogeneity were used to pool the results. A total of 13 studies involving 5616 pregnant women were included. Pooled results showed that both a high abdominal SAT (odds ratio [OR] for per 1-cm increment: 1.23, 95% confidence interval [CI]: 1.07 to 1.41, P = 0.003, I2 = 13%; OR for high versus low category: 3.42, 95% CI: 2.31 to 5.07, P < 0.001, I2 = 0%) and VAT (OR for per 1-cm increment: 1.54, 95% CI: 1.16 to 2.06, P = 0.003, I2 = 63%; OR for high versus low category: 5.73, 95% CI: 3.39 to 9.77, P < 0.001, I2 = 31%) at early stages of pregnancy were associated with a higher subsequent risk of GDM. Subgroup analysis based on study design, timing of ultrasound examination, GDM diagnostic criteria, and study quality score showed consistent results. In conclusion, ultrasound-measured abdominal adipose tissue thickness may be useful for predicting the subsequent risk of GDM in pregnant women.
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issn | 2831-0896 2831-090X |
language | English |
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series | Biomolecules & Biomedicine |
spelling | doaj.art-55bb0b8e76c44e068f33e855c70208092024-03-15T13:21:00ZengAssociation of Basic Medical Sciences of Federation of Bosnia and HerzegovinaBiomolecules & Biomedicine2831-08962831-090X2023-12-0110.17305/bb.2023.9902Ultrasonographic abdominal adipose tissue thickness for the prediction of gestational diabetes mellitus: A meta-analysisShuhong Hou0Xiaoqing Xiao1Dongping Chen2Department of Ultrasound, Longyan First Hospital Affiliated to Fujian Medical University, Longyan, Fujian Province, ChinaDepartment of Ultrasound, Longyan First Hospital Affiliated to Fujian Medical University, Longyan, Fujian Province, ChinaDepartment of Internal Medicine, Longyan First Hospital Affiliated to Fujian Medical University, Longyan, Fujian Province, China Obesity has been linked to the risk of gestational diabetes mellitus (GDM). The meta-analysis aimed to assess the predictive role of ultrasonographic measurements of the abdominal adipose tissue thickness for GDM in pregnant women. Cohort studies evaluating the association between abdominal subcutaneous and/or visceral adipose thickness (SAT and/or VAT) and subsequent risk of GDM were retrieved from PubMed, Embase, and Web of Science databases. Only studies with SAT/VAT measured before the diagnosis of GDM were included. Random-effects models incorporating the influence of potential heterogeneity were used to pool the results. A total of 13 studies involving 5616 pregnant women were included. Pooled results showed that both a high abdominal SAT (odds ratio [OR] for per 1-cm increment: 1.23, 95% confidence interval [CI]: 1.07 to 1.41, P = 0.003, I2 = 13%; OR for high versus low category: 3.42, 95% CI: 2.31 to 5.07, P < 0.001, I2 = 0%) and VAT (OR for per 1-cm increment: 1.54, 95% CI: 1.16 to 2.06, P = 0.003, I2 = 63%; OR for high versus low category: 5.73, 95% CI: 3.39 to 9.77, P < 0.001, I2 = 31%) at early stages of pregnancy were associated with a higher subsequent risk of GDM. Subgroup analysis based on study design, timing of ultrasound examination, GDM diagnostic criteria, and study quality score showed consistent results. In conclusion, ultrasound-measured abdominal adipose tissue thickness may be useful for predicting the subsequent risk of GDM in pregnant women. https://www.bjbms.org/ojs/index.php/bjbms/article/view/9902Abdominal obesitysubcutaneous adipose thickness (SAT)visceral adipose thickness (VAT)gestational diabetes mellitus (GDM)meta-analysis |
spellingShingle | Shuhong Hou Xiaoqing Xiao Dongping Chen Ultrasonographic abdominal adipose tissue thickness for the prediction of gestational diabetes mellitus: A meta-analysis Biomolecules & Biomedicine Abdominal obesity subcutaneous adipose thickness (SAT) visceral adipose thickness (VAT) gestational diabetes mellitus (GDM) meta-analysis |
title | Ultrasonographic abdominal adipose tissue thickness for the prediction of gestational diabetes mellitus: A meta-analysis |
title_full | Ultrasonographic abdominal adipose tissue thickness for the prediction of gestational diabetes mellitus: A meta-analysis |
title_fullStr | Ultrasonographic abdominal adipose tissue thickness for the prediction of gestational diabetes mellitus: A meta-analysis |
title_full_unstemmed | Ultrasonographic abdominal adipose tissue thickness for the prediction of gestational diabetes mellitus: A meta-analysis |
title_short | Ultrasonographic abdominal adipose tissue thickness for the prediction of gestational diabetes mellitus: A meta-analysis |
title_sort | ultrasonographic abdominal adipose tissue thickness for the prediction of gestational diabetes mellitus a meta analysis |
topic | Abdominal obesity subcutaneous adipose thickness (SAT) visceral adipose thickness (VAT) gestational diabetes mellitus (GDM) meta-analysis |
url | https://www.bjbms.org/ojs/index.php/bjbms/article/view/9902 |
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