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Dataset Information

Agreement and Predictors of Discordance of 6 Visual Field Progression Algorithms.


ABSTRACT: PURPOSE:To determine the agreement of 6 established visual field (VF) progression algorithms in a large dataset of VFs from multiple institutions and to determine predictors of discordance among these algorithms. DESIGN:Retrospective longitudinal cohort study. PARTICIPANTS:Visual fields from 5 major eye care institutions in the United States were analyzed, including a subset of eyes with at least 5 Swedish interactive threshold algorithm standard 24-2 VFs that met our reliability criteria. Of a total of 831 240 VFs, a subset of 90 713 VFs from 13 156 eyes of 8499 patients met the inclusion criteria. METHODS:Six commonly used VF progression algorithms (mean deviation [MD] slope, VF index slope, Advanced Glaucoma Intervention Study, Collaborative Initial Glaucoma Treatment Study, pointwise l

SUBMITTER: Saeedi OJ 

PROVIDER: S-EPMC7260059 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature