Effects of polyphenol in women with polycystic ovary syndrome: A systematic review and meta-analysis of randomized controlled trials

Abstract

Objective: Polycystic ovary syndrome (PCOS) is an endocrinopathy with a high prevalence in women of reproductive age. Different treatments were tested to increase insulin sensitivity and hormone regulation, and recently polyphenols have emerged as a promising option for these women. We aimed to perform a systematic review and meta-analysis of randomized clinical trials (RCTs) comparing polyphenols to placebo in PCOS.

Design: A systematic review and meta-analysis.

Methods: PubMed, Cochrane Library, and Embase databases were searched for RCTs comparing polyphenols to placebo. Random-effects model was used to calculate the Mean Difference (MD) and Standardized Mean Difference (SMD), with 95% confidence interval (CIs).

Results: A total of fifteen RCTs comprising 916 patients were included, of whom 445 (49 %) received polyphenols. Compared to placebo, polyphenols significantly reduced serum insulin level (MD -2.49; 95 % CI [-3.72, -1.25]; p < 0.01), BMI levels (MD -0.12; 95 % CI [-0.18, -0.06]; p < 0.01), and LH levels (MD -0.87; 95 % CI [-1.54, -0.20]; p = 0.01). There was no significant difference between groups in testosterone levels (SMD -0.14; 95 % CI [-0.53, 0.25]; p = 0.48).

Conclusion: In this meta-analysis polyphenols were associated with a reduction in serum insulin, LH levels, and BMI in women with PCOS, compared to placebo. These findings support the effectiveness of polyphenols in women with PCOS.

Significant statement: There are no comprehensive systematic recommendations for polyphenols in PCOS treatment. However, increasing evidence has highlighted its substantial impact on women's health. This systematic review and meta-analysis provide evidence for the efficacy of polyphenols in reducing serum insulin, LH, and BMI in women with PCOS compared with placebo.

Keywords: Insulin resistance; Meta-analysis; Polycystic ovary syndrome; Polyphenols.