Meta-analysis of the efficacy of ω-3 polyunsaturated fatty acids when treating patients with polycystic ovary syndrome
Abstract
OBJECTIVE: To systematically assess the efficacy of ω-3 polyunsaturated fatty acids (PUFAs) when treating polycystic ovary syndrome (PCOS).
METHODS: This meta-analysis follows Preferred Reporting Items for Systematic Reviews and Meta-Analyses criteria. We searched PubMed, EMBASE, ScienceDirect, Cochrane Library, China journal full-text database, VIP full-text Database, Wanfang Database, and Chinese Biomedical Literature Data for clinical trials on ω-3 PUFAs' efficacy in treating PCOS. Two independent reviewers examined and analyzed studies, resolving inconsistencies through discussion. RevMan5.3 software performed heterogeneity-based fixed and random-effects meta-analysis. We assessed bias using the Cochrane bias risk assessment tool.
RESULTS: Our meta-analysis included 7 clinical control studies comprising 574 samples to evaluate the impact of ω-3 PUFAs on various metabolic markers in PCOS patients. We observed a significant reduction in total cholesterol (TC) and triglyceride (TG) levels (P .05). Publication bias was not detected, enhancing the robustness of our results. Our study suggests that ω-3 PUFAs could be beneficial in managing specific metabolic markers in PCOS, although the results showed marked heterogeneity.
CONCLUSION: In PCOS patients, PUFAs can enhance reproductive endocrine, glucose, and lipid levels. However, additional research and extended follow-up are required to confirm this.
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.
Read the paper
Related studies
- eggNOG 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses
- Online Survival Analysis Software to Assess the Prognostic Value of Biomarkers Using Transcriptomic Data in Non-Small-Cell Lung Cancer
- OptiType: precision HLA typing from next-generation sequencing data
- Nicotinic Cholinergic System and COVID-19: In Silico Identification of an Interaction between SARS-CoV-2 and Nicotinic Receptors with Potential Therapeutic Targeting Implications
- Saccharomyces cerevisiae cells have three Omega class glutathione S-transferases acting as 1-Cys thiol transferases
- Hemolysis at low blood flow rates: in-vitro and in-silico evaluation of a centrifugal blood pump
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.