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The effects of trace element supplementation on glycolipid metabolism in PCOS: a systematic review and meta-analysis

Yang L, Gao Y, Zhao W, Qi Y, Duo X, Wang H

Frontiers in nutrition, 2025

1,600 participants

Abstract

Objectives: A common endocrine and metabolic condition affecting women of reproductive age is polycystic ovarian syndrome (PCOS). The link between trace elements and PCOS has drawn more attention in recent years. However, the complete therapeutic potential of trace element supplementation in PCOS therapy is still unknown. Thus, the purpose of this study is to look at how supplementing with four trace elements- calcium, chromium, selenium and magnesium-may affect the metabolism of glycolipids and other clinical outcomes in women with PCOS.

Methods: To find randomized controlled trials (RCTs), a comprehensive literature search was carried out up until May 2025 using four internet databases: the Cochrane Library, Web of Science, Embase, and PubMed. Intervention studies that evaluated the impact of calcium, chromium, selenium and magnesium supplementation on important outcomes such as blood glucose levels, lipid profiles, oxidative stress markers, inflammatory responses, sex hormone concentrations, and body weight in PCOS patients met the inclusion criteria. Heterogeneity between studies was evaluated using the I2 statistic, a result of more than 50% indicates significant heterogeneity.

Results: A total of 25 RCTs with a combined sample size of 1,600 PCOS patients were considered. The results showed a significant decrease in fasting blood glucose levels (SMD = -0.79, 95% CI: -1.11 to -0.46). Both insulin resistance as determined by homeostasis model assessment of β-cell function…

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: 1,600 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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