{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T04:17:32Z","timestamp":1761711452998,"version":"build-2065373602"},"reference-count":0,"publisher":"Association of Basic Medical Sciences of FBIH","issue":"4","license":[{"start":{"date-parts":[[2023,12,18]],"date-time":"2023-12-18T00:00:00Z","timestamp":1702857600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Biomol Biomed"],"abstract":"<jats:p>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 &lt; 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 &lt; 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.<\/jats:p>","DOI":"10.17305\/bb.2023.9902","type":"journal-article","created":{"date-parts":[[2023,12,18]],"date-time":"2023-12-18T04:01:55Z","timestamp":1702872115000},"page":"698-707","source":"Crossref","is-referenced-by-count":3,"title":["Ultrasonographic abdominal adipose tissue thickness for the prediction of gestational diabetes mellitus: A meta-analysis"],"prefix":"10.17305","volume":"24","author":[{"given":"Shuhong","family":"Hou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoqing","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dongping","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"6922","published-online":{"date-parts":[[2023,12,18]]},"container-title":["Biomolecules and Biomedicine"],"original-title":[],"link":[{"URL":"https:\/\/bjbms.org\/ojs\/index.php\/bjbms\/article\/download\/9902\/3126","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/bjbms.org\/ojs\/index.php\/bjbms\/article\/download\/9902\/3126","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T23:02:10Z","timestamp":1761692530000},"score":1,"resource":{"primary":{"URL":"https:\/\/bjbms.org\/ojs\/index.php\/bjbms\/article\/view\/9902"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,18]]},"references-count":0,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2024,7,28]]}},"URL":"https:\/\/doi.org\/10.17305\/bb.2023.9902","relation":{},"ISSN":["2831-090X","2831-0896"],"issn-type":[{"type":"electronic","value":"2831-090X"},{"type":"print","value":"2831-0896"}],"subject":[],"published":{"date-parts":[[2023,12,18]]}}}