Efficacy of inositol supplementation for the prevention and treatment of gestational diabetes in pregnant women: Results from an umbrella meta-analysis
Abstract
Background: Inositol (ISL) refers to a group of simple carbohydrates known for their insulin-sensitizing effects, with Myo-inositol (MYO) and d-chiro-inositol (DCI) being the most prevalent isoforms.
Objective: This umbrella meta-analysis aimed to evaluate the impact of inositol supplementation on gestational diabetes (GDM) as well as maternal and neonatal outcomes in women with GDM. We performed a systematic search of the literature in the PubMed and Scopus databases up until September 2024 to identify relevant studies.
Method: Publications with the following criteria were eligible: (i) the study design was a meta-analysis of RCTs, (ii) the population consisted of pregnant women with GDM, (iii) the intervention involved ISL supplementation, compared to a placebo, and (iv) the primary outcome was the incidence of GDM. The secondary outcomes included glycemic indices, preterm birth, pregnancy-induced hypertension, birth weight, neonatal hypoglycemia, gestational age at birth, cesarean delivery, shoulder dystocia, macrosomia, and neonatal intensive care unit admission. The pooled results were presented as standardized mean differences for continuous outcomes and relative risks (RR) with 95% confidence intervals (CI) for dichotomous outcomes, using a random effects model.
Results: A total of 19 studies involving 17 932 participants were included in the analysis. ISL supplementation was linked to a lower risk of GDM (RR: 0.42; 95% CI = 0.37-0.49), reduced need for insulin…
How strong is the evidence?
Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 17 participants or records.
Read the paper
Related studies
- Increased expression of circulating miRNA-93 in women with polycystic ovary syndrome may represent a novel, non-invasive biomarker for diagnosis
- Identification of key genes associated with polycystic ovary syndrome (PCOS) and ovarian cancer using an integrated bioinformatics analysis
- Identification of key pathways and genes in polycystic ovary syndrome via integrated bioinformatics analysis and prediction of small therapeutic molecules
- Regulation of Androgen Receptor Expression Alters AMPK Phosphorylation in the Endometrium: In Vivo and In Vitro Studies in Women with Polycystic Ovary Syndrome
- Effect of oral administration of low-dose follicle stimulating hormone on hyperandrogenized mice as a model of polycystic ovary syndrome
- Systems pharmacology to investigate the interaction of berberine and other drugs in treating polycystic ovary syndrome
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.