THU637 The Effects Of Polyphenol On Insulin Resistance And Hormonal Parameters On Women With Polycystic Ovary Syndrome: A Systematic Review And Meta-analysis Of Randomized Controlled Trials

Disclosure: C.A. Balieiro: None. L.C. Hespanhol: None. M. Araújo Freitas: None. L. Lima de Oliveira: None. Introduction: Polycystic ovary syndrome (PCOS) is an endocrinopathy with a high prevalence in women of reproductive age. This syndrome is characterized by ovarian cysts, anovulation, infertility, skin disorders, increased Body Mass Index (BMI), insulin resistance, and altered hormone levels. The most commonly affected hormones include testosterone, luteinizing hormone (LH), follicle-stimulating hormone (FSH), and insulin. Different treatments have been 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 women with PCOS. Methods: The PubMed, Cochrane, and Embase databases were searched for RCTs comparing polyphenols to placebo. Data were extracted from published reports, and quality assessment was performed according to PRISMA guidelines. Endpoints included were: changes in levels of serum insulin, changes in BMI, LH, and testosterone levels. We used a random-effects model to calculate the Mean Difference (MD), Standardized Mean Difference (SMD), and 95% confidence interval (CI). Heterogeneity was examined with the Cochrane Q test and I² statistics: p values inferior to 0.05 and I² > 25% were considered significant for heterogeneity. Results: A total of 15 studies involving 916 patients were included. Of all participants, 445 (49%) received polyphenols. Polyphenols resulted in a significant decrease in serum insulin level (MD -2.49 [-3.72, -1.25] 95% CI; p < 0.0001, I² = 64%), in comparison to placebo. In addition, BMI levels were significantly reduced in patients treated with polyphenols when compared to placebo (MD -0.12 [-0.18, -0.06] 95% CI; p = 0.0002, I² = 0%). There was a reduction in LH levels in the intervention group, when compared with the baseline levels to the final levels (MD -0.87 [-1.54, 0.20] 95% CI; p = 0.01, I² = 46%). The decrease in testosterone levels was not significantly different when comparing polyphenols and placebo (SMD -0.14 [-0.53, 0.25] 95% CI; p = 0.48, I² = 73%). Conclusion: This meta-analysis provided evidence of the effectiveness of polyphenols in reducing serum insulin, LH and BMI in women with polycystic ovary syndrome compared to placebo. There was no statistically significant difference in the reduction of testosterone levels between polyphenols and placebo. This study represents the most current evidence on this promising treatment. Presentation: Thursday, June 15, 2023