Tehfe Hadi, Chow Ryan, Li Sophie, Kim Patrick, Samari Saif, Hayawi Lamia, Webster Richard, Ben Fadel Nadya
Faculty of Medicine, University of Ottawa, Ottawa, Canada.
Faculty of Medicine, McMaster University, Hamilton, Canada.
J Family Reprod Health. 2022 Jun;16(2):93-101. doi: 10.18502/jfrh.v16i2.9476.
Premenstrual syndrome (PMS) is a very prevalent condition that affects premenopausal women and can result in monthly debilitating emotional and physical symptoms. The objective of this systematic review was to determine which predictive factors were associated with an increased amount of bias in non-randomized studies (NRSs) of PMS. A search of the EMBASE and Medline electronic databases was completed from January 1, 2010 to December 2021. The methodological quality of the included studies was independently evaluated and critically appraised using the Risk of Bias in Non-Randomized Studies - of Interventions (ROBINS-1) tool. Associations of different factors with the risk of bias levels were assessed using a univariate logistic regression. Odds ratio and 95% confidence interval (CI) were reported. Of the 1668 studies, 38 were determined to be eligible for inclusion. The ROBINS-1 tool identified that 12 studies were of low/moderate risk of bias (31.6%) and 26 were of serious/critical risk (68.4%). Evidence of relationships between the ROBINS-1 score and impact factor (OR=0.20; 95% CI, 0.07 to 0.57; p= 0.003) and number of authors (OR=0.65; 95% CI, 0.43 to 0.99; p= 0.046) were identified, whereas no relationships were found with the number of citations, the sample size, the funding type, or the conflict-of-interest statement. The systematic review concludes that the methodological rigor of non-randomized studies of PMS can vary, with fewer authors and a lower impact factor showing evidence of association with a decreased quality of evidence.
经前综合征（PMS）是一种非常普遍的病症，会影响绝经前女性，并可能导致每月出现使人衰弱的情绪和身体症状。本系统评价的目的是确定哪些预测因素与经前综合征非随机研究（NRSs）中偏差增加有关。检索了2010年1月1日至2021年12月的EMBASE和Medline电子数据库。使用非随机干预研究中的偏倚风险（ROBINS-1）工具对纳入研究的方法学质量进行独立评估和严格评价。使用单因素逻辑回归评估不同因素与偏倚风险水平的关联。报告了比值比和95%置信区间（CI）。在1668项研究中，确定有38项符合纳入标准。ROBINS-1工具确定12项研究的偏倚风险为低/中度（31.6%），26项为严重/关键风险（68.4%）。发现ROBINS-1评分与影响因子（OR=0.20；95%CI，0.07至0.57；p=0.003）和作者数量（OR=0.65；95%CI，0.43至0.99；p=0.046）之间存在关联，而未发现与引用次数、样本量、资金类型或利益冲突声明之间存在关联。该系统评价得出结论，经前综合征非随机研究的方法学严谨性可能各不相同，作者较少且影响因子较低表明与证据质量下降有关。
