Background And Objectives: The current Grading of Recommendations, Assessment, Development and Evaluation (GRADE) system instructs appraisers to evaluate whether individual observational studies have sufficiently adjusted for confounding. However, it does not provide an explicit, transparent, or reproducible method for doing so. This article explores how implementing causal graphs into the GRADE framework can help appraisers and end-users of GRADE products to evaluate the adequacy of confounding control from observational studies.
View Article and Find Full Text PDFImportance: Epilepsy is a highly treatable condition for many people, but there are large treatment gaps with suboptimal seizure control in minoritized groups. The sexual and gender minority (SGM) community is at risk for health disparities, yet the burden of epilepsy in this community is not known.
Objective: To estimate the prevalence of active epilepsy among SGM people in the United States.