Effects of inositol and alpha lipoic acid combination for polycystic ovary syndrome: A protocol for systematic review and meta-analysis.

Hospital of Chengdu University of Traditional Chinese Medicine, PR China.

Medicine. 2020;(30):e20696

Abstract

BACKGROUND Polycystic ovary syndrome (PCOS), an intricate and multifactorial disease, has characteristics of diverse clinical, metabolic and endocrine disorder. It represents a primary cause of infertility in reproductive women, which seriously affects the physical and mental health of patients. Several small studies have indicated that inositol and alpha lipoic acid (ALA) supplementation can ameliorate the outcomes in terms of menstrual cyclicity, ovulation and hyperinsulinemia in PCOS women. However, there is a lack of sufficient evidence to affirm this practice. Consequently, we aim to objectively review and estimate the efficacy and safety of inositol plus ALA in adult women suffering from PCOS. METHODS AND ANALYSIS We will retrieve PubMed, EMBASE, The Web of Science, The Cochrane Library of Controlled Trials, Clinical Trials.gov, Chinese Biomedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), Chinese Scientific Journal Database (VIP database), Wan-Fang database with no specific limitations on language. Simultaneously we will manually retrieve reference lists and grey literature to acquire potential eligibility. We will restrict our search to randomized controlled trials (RCTs) of inositol in combination with ALA for PCOS. Researchers will separately identify studies, extract data and evaluate the quality of studies. We will conduct risk of bias estimates, data synthesis and analysis using Review Manager 5.3 software. RESULTS AND CONCLUSION The study will comprehensively determine the effectiveness and safety of inositol conjunct with ALA therapy for PCOS. Meanwhile we intend to disseminate the final findings in a peer-reviewed journal to help patients, clinicians and health policymakers select treatment strategy of PCOS by providing high-quality evidence.