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Dataset Information

Using filtered forecasting techniques to determine personalized monitoring schedules for patients with open-angle glaucoma.


ABSTRACT:

Purpose

To determine whether dynamic and personalized schedules of visual field (VF) testing and intraocular pressure (IOP) measurements result in an improvement in disease progression detection compared with fixed interval schedules for performing these tests when evaluating patients with open-angle glaucoma (OAG).

Design

Secondary analyses using longitudinal data from 2 randomized controlled trials.

Participants

A total of 571 participants from the Advanced Glaucoma Intervention Study (AGIS) and the Collaborative Initial Glaucoma Treatment Study (CIGTS).

Methods

Perimetric and tonometric data were obtained for AGIS and CIGTS trial participants and used to parameterize and validate a Kalman filter model. The Kalman filter updates knowledge about each participa

SUBMITTER: Schell GJ 

PROVIDER: S-EPMC4495761 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature