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Erschienen in: Journal of Diabetes & Metabolic Disorders 1/2019

21.02.2019 | Research Article

Gestational diabetes mellitus in association with macrosomia in Iran: a meta-analysis

Erschienen in: Journal of Diabetes & Metabolic Disorders | Ausgabe 1/2019

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Abstract

Purpose

This meta-analysis aimed to estimate the association between gestational diabetes mellitus (GDM) and occurrence of macrosomia for the first time among Iranian population.

Methods

A systematic review was done of national and international databases. Lists of relevant articles were checked to increase sensitivity of the search reference. Also, access to unpublished articles and documents were accessed by negotiation with related individuals and research centers. These published epidemiological studies (cross-sectional, case-control and cohort studies) were used for comparisons to determine whether GDM was associated with macrosomia. Finally, the Mantel-Haenszel method and the fixed and random-effect models based on heterogeneity of the primary studies were used according to pool results and estimate the odds ratio of macrosomia in women with GDM.

Results

Of 1870 articles, thirty relevant articles were eligible for the current meta-analysis. Our findings showed that 335 of 2524 women with GDM had macrosomia while only 775 of 26,592 women without GDM had macrosomia. Using random-effect model, the pooled odds ratio (OR) relation between GDM and occurrence of macrosomia was estimated as of 5.49 (95% CI: 4.27–7.04). Subgroup analysis showed no difference regarding different study designs and definitions of macrosomia. There was no evidence of publication bias based on the result of Egger’s test (β = 0.1, P = 0.70).

Conclusions

This meta-analysis shows that GDM is directly associated with the risk of macrosomia in the Iranian population. This confirms the findings of previous studies in the wider scientific literature.
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Metadaten
Titel
Gestational diabetes mellitus in association with macrosomia in Iran: a meta-analysis
Publikationsdatum
21.02.2019
Erschienen in
Journal of Diabetes & Metabolic Disorders / Ausgabe 1/2019
Elektronische ISSN: 2251-6581
DOI
https://doi.org/10.1007/s40200-019-00388-0

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