PDF(Pubmed)
Abstract：
Polycystic ovarian syndrome (PCOS) is characterized by obesity, glucose intolerance, dyslipidemia, and hyperandrogenemia. Although several, placebo-controlled 2x2 factorial design, randomized controlled trials have tested the efficacy of dietary and herbal supplements in controlling these parameters in PCOS patients, these studies are not suitable for a comparative efficacy assessment across these supplements. Herein, a protocol for systematic review and network meta-analysis (NMA) is presented to make such a comparison. PubMed, Embase, and Scopus, were interrogated to identify relevant trials, published in English, factors to be investigated will include dietary factors, micronutrients, choline, essential fatty acids, and herbal extracts. Other factors to be considered include trial design, population characteristics, interventions compared, and outcomes of interest. The revised Cochrane tool was used for the appraisal of eligible trials. NMA (frequentist method) will be used for respective outcomes to compare effect sizes (weighted or standardized mean difference) among the interventions. Both logical and statistical (inconsistency assessment) approaches will be used to minimize intransitivity risk. The surface under the cumulative ranking curve values will be used to gauge the best intervention for outcomes with a statistically significant effect size suggesting a favorable outcome. Additionally, the exploration of interrelation among interventions and the small study effect in respective NMA models will be investigated using network maps and comparison-adjusted funnel plots, respectively. Statistical significance is assumed at p<0.05 with 95% confidence interval. Stata statistical software (v16) was used for analysis. The study was registered with PROSPERO, registration number: CRD42022301530.
摘要：
多囊卵巢综合征（PCOS）的特点是肥胖，葡萄糖不耐受,血脂异常,和高雄激素血症.虽然有几个,安慰剂对照2x2阶乘设计，随机对照试验测试了饮食和草药补充剂在PCOS患者中控制这些参数的功效，这些研究不适合对这些补充剂进行疗效比较评估.在这里，提出了系统评价和网络荟萃分析(NMA)的方案来进行这种比较.PubMed,Embase,还有Scopus,被审讯以确定相关试验，以英文出版,要调查的因素将包括饮食因素，微量营养素,胆碱，必需脂肪酸,和草药提取物。其他需要考虑的因素包括试验设计，人口特征，干预措施比较，和感兴趣的结果。修订后的Cochrane工具用于评估合格的试验。NMA（频率方法）将用于各自的结果，以比较干预措施之间的效果大小（加权或标准化的平均差）。将使用逻辑和统计（不一致性评估）方法来最大程度地减少不传递性风险。累积排序曲线值下的表面将用于衡量结果的最佳干预措施，具有统计学上显著的效果大小，表明有利的结果。此外,将使用网络图和比较调整的漏斗图研究干预措施之间的相互关系和各自的NMA模型中的小研究效果的探索，分别。在p<0.05时假定有统计学显著性,95%置信区间。采用Stata统计软件(v16)进行分析。这项研究在PROSPERO注册，注册号：CRD42022301530。
