Robust Bayesian Model Averaging Meta‐Analysis of Menstrual Disorders in COVID‐19 Survivors: A Methodological Meta‐Analysis Study

Using a Robust Bayesian methodology, we found that 9%-24% of women of reproductive age experienced menstrual disorders during the COVID-19 pandemic, highlighting its significant impact on women's health. To address this, it is crucial to educate women about the pandemic's effects on menstrual health and provide support services, including counseling and access to specialized healthcare providers. The RoBMA-PSMA approach can help researchers effectively tackle publication bias and heterogeneity, offering a straightforward, data-driven method that requires minimal technical expertise, supported by a user-friendly tool. <b>Trial Registration:</b> Prospective Register of Systematic Reviews (PROSPERO): CRD42024561216.