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Accuracy of circulating adiponectin for predicting gestational diabetes: a systematic review and meta-analysis

Research output: Contribution to journalArticle

Author(s)

S Iliodromiti, J Sassarini, Tom Kelsey, R Lindsay, N Sattar, S Nelson

School/Research organisations

Abstract

Aims/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.
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Details

Original languageEnglish
Pages (from-to)692-699
Number of pages8
JournalDiabetologia
Volume59
Issue number4
Early online date14 Jan 2016
DOIs
Publication statusPublished - Apr 2016

    Research areas

  • Adiponectin, Gestational diabetes, Meta-analysis, Prediction, Systematic review

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