Show simple item record

Files in this item

Thumbnail

Item metadata

dc.contributor.authorIliodromiti, S
dc.contributor.authorSassarini, J
dc.contributor.authorKelsey, Tom
dc.contributor.authorLindsay, R
dc.contributor.authorSattar, N
dc.contributor.authorNelson, S
dc.date.accessioned2016-02-04T14:40:08Z
dc.date.available2016-02-04T14:40:08Z
dc.date.issued2016-04
dc.identifier.citationIliodromiti , S , Sassarini , J , Kelsey , T , Lindsay , R , Sattar , N & Nelson , S 2016 , ' Accuracy of circulating adiponectin for predicting gestational diabetes : a systematic review and meta-analysis ' , Diabetologia , vol. 59 , no. 4 , pp. 692-699 . https://doi.org/10.1007/s00125-015-3855-6en
dc.identifier.issn0012-186X
dc.identifier.otherPURE: 236408346
dc.identifier.otherPURE UUID: 1fb498e0-b570-4309-afc3-f965305a3879
dc.identifier.otherPubMed: 26768001
dc.identifier.otherScopus: 84959558892
dc.identifier.otherPubMed: 26768001
dc.identifier.otherPubMedCentral: PMC4779132
dc.identifier.otherORCID: /0000-0002-8091-1458/work/27201532
dc.identifier.otherWOS: 000371802700007
dc.identifier.urihttps://hdl.handle.net/10023/8130
dc.description.abstractAims/hypothesis Universal screening for gestational diabetes mellitus (GDM) has not been implemented, and this has had substantial clinical implications. Biomarker-directed targeted screening might be feasible. We sought to determine the accuracy of circulating adiponectin for early prediction of GDM. Methods A systematic review and meta-analysis of the literature to May 2015 identified studies in which circulating adiponectin was measured prior to a diagnosis of GDM. Data on diagnostic accuracy were synthesised by bivariate mixed effects and hierarchical summary receiver operating characteristic (HSROC) models. Results Thirteen studies met the eligibility criteria, 11 of which (2,865 women; 794 diagnosed with GDM) had extractable data. Circulating adiponectin had a pooled diagnostic odds ratio (DOR) of 6.4 (95% CI 4.1, 9.9), a summary sensitivity of 64.7% (95% CI 51.0%, 76.4%) and a specificity of 77.8% (95% CI 66.4%, 86.1%) for predicting future GDM. The AUC of the HSROC was 0.78 (95% CI 0.74, 0.81). First trimester adiponectin had a pooled sensitivity of 60.3% (95% CI 46.0%, 73.1%), a specificity of 81.3% (95% CI 71.6%, 88.3%) and a DOR of 6.6 (95% CI 3.6, 12.1). The AUC was 0.79 (95% CI 0.75, 0.82). Pooled estimates were similar after adjustment for age, BMI or specific GDM diagnostic threshold. Conclusions/interpretation Pre-pregnancy and early pregnancy measurement of circulating adiponectin may improve the detection of women at high risk of developing GDM. Prospective evaluation of the combination of adiponectin and maternal characteristics for early identification of those who do and do not require OGTT is warranted.
dc.format.extent8
dc.language.isoeng
dc.relation.ispartofDiabetologiaen
dc.rights© The Author(s) 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.en
dc.subjectAdiponectinen
dc.subjectGestational diabetesen
dc.subjectMeta-analysisen
dc.subjectPredictionen
dc.subjectSystematic reviewen
dc.subjectR Medicineen
dc.subject3rd-DASen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subject.lccRen
dc.titleAccuracy of circulating adiponectin for predicting gestational diabetes : a systematic review and meta-analysisen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.contributor.institutionUniversity of St Andrews. Centre for Interdisciplinary Research in Computational Algebraen
dc.identifier.doihttps://doi.org/10.1007/s00125-015-3855-6
dc.description.statusPeer revieweden


This item appears in the following Collection(s)

Show simple item record