Evaluation of Magnesium, Vitamin D, Calcium, and Metformin Supplements on Cardiometabolic Variables in Infertile Women Diagnosed with Polycystic Ovary Syndrome (PCOS): A Randomized, Controlled, Clinical Trial
Abstract
Background Polycystic ovary syndrome (PCOS) is known as an important etiology of ovulation failure which probably is related to resistance to insulin and other possible related metabolic states. The current study aimed to investigate the effect of supplements such as calcium, vitamin D, and magnesium on cardiometabolic risk factors of infertile PCOS patients. Methods This randomized trial was registrered at Iranian Registry of Clinical Trial (reference code: IRCT2013110615307N1). First, bio-demographic data were gathered and complete physical examinations were performed, for all cases. After meeting the inclusion and exclusion criteria, 106 individuals were randomized into the metformin and vitamin D/calcium (37 patients), metformin and magnesium (34 patients), and metformin (35 patients) groups. After 12 weeks, cardiometabolic parameters including blood pressure, fasting blood sugar (FBS), low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglyceride (TG), and dehydroepiandrosterone-sulfate (DHEA-S) were compared among the mentioned groups. In order to compare treatment groups per protocol analysis was performed. All data were analyzed by SPSS and any p-value less than 0.05 was considered statistically significant. Results The results showed no significant difference in age, infertility duration, frequency of metabolic syndrome, and the cause and duration of infertility among the groups. Also, no statistically significant difference was found between patients…
How strong is the evidence?
Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design. Reported size: 106 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.