Literature DB >> 24878173

Visual field progression in glaucoma: what is the specificity of the Guided Progression Analysis?

Paul H Artes1, Neil O'Leary2, Marcelo T Nicolela3, Balwantray C Chauhan3, David P Crabb4.   

Abstract

PURPOSE: To estimate the specificity of the Guided Progression Analysis (GPA) (Carl Zeiss Meditec, Dublin, CA) in individual patients with glaucoma.
DESIGN: Observational cohort study. PARTICIPANTS: Thirty patients with open-angle glaucoma.
METHODS: In 30 patients with open-angle glaucoma, 1 eye (median mean deviation [MD], -2.5 decibels [dB]; interquartile range, -4.4 to -1.3 dB) was tested 12 times over 3 months (Humphrey Field Analyzer, Carl Zeiss Meditec; SITA Standard, 24-2). "Possible progression" and "likely progression" were determined with the GPA. These analyses were repeated after the order of the tests had been randomly rearranged (1000 unique permutations). MAIN OUTCOME MEASURES: Rate of false-positive alerts of "possible progression" and "likely progression" with the GPA.
RESULTS: On average, the specificity of the GPA "likely progression" alert was high-for the entire sample, the mean rate of false-positive alerts after 10 follow-up tests was 2.6%. With "possible progression," the specificity was considerably lower (false-positive rate, 18.5%). Most important, the cumulative rate of false-positive alerts varied substantially among patients, from <1% to 80% with "possible progression" and from <0.1% to 20% with "likely progression." Factors associated with false-positive alerts were visual field variability (standard deviation of MD, Spearman's rho = 0.41, P<0.001) and the reliability indices (proportion of false-positive and false-negative responses, fixation losses, rho>0.31, P≤0.10).
CONCLUSIONS: On average, progression criteria currently used in the GPA have high specificity, but some patients are more likely to show false-positive alerts than others. This is a natural consequence of population-based change criteria and may not matter in clinical trials and studies in which large groups of patients are compared. However, it must be considered when the GPA is used in clinical practice where specificity needs to be controlled for individual patients.
Copyright © 2014 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2014        PMID: 24878173     DOI: 10.1016/j.ophtha.2014.04.015

Source DB:  PubMed          Journal:  Ophthalmology        ISSN: 0161-6420            Impact factor:   12.079


  24 in total

1.  Evaluation of Visual Field and Imaging Outcomes for Glaucoma Clinical Trials (An American Ophthalomological Society Thesis).

Authors:  David F Garway-Heath; Ana Quartilho; Philip Prah; David P Crabb; Qian Cheng; Haogang Zhu
Journal:  Trans Am Ophthalmol Soc       Date:  2017-08-22

Review 2.  [Functional disorders in the chronological progression of glaucoma].

Authors:  Carl Erb
Journal:  Ophthalmologe       Date:  2015-05       Impact factor: 1.059

Review 3.  Functional assessment of glaucoma: Uncovering progression.

Authors:  Rongrong Hu; Lyne Racette; Kelly S Chen; Chris A Johnson
Journal:  Surv Ophthalmol       Date:  2020-04-26       Impact factor: 6.048

4.  Association between Intraocular Pressure and Rates of Retinal Nerve Fiber Layer Loss Measured by Optical Coherence Tomography.

Authors:  Alberto Diniz-Filho; Ricardo Y Abe; Linda M Zangwill; Carolina P B Gracitelli; Robert N Weinreb; Christopher A Girkin; Jeffrey M Liebmann; Felipe A Medeiros
Journal:  Ophthalmology       Date:  2016-08-20       Impact factor: 12.079

5.  Rates of Retinal Nerve Fiber Layer Loss in Contralateral Eyes of Glaucoma Patients with Unilateral Progression by Conventional Methods.

Authors:  Ting Liu; Andrew J Tatham; Carolina P B Gracitelli; Linda M Zangwill; Robert N Weinreb; Felipe A Medeiros
Journal:  Ophthalmology       Date:  2015-09-15       Impact factor: 12.079

6.  Comparison of Short- And Long-Term Variability in Standard Perimetry and Spectral Domain Optical Coherence Tomography in Glaucoma.

Authors:  Carla N Urata; Eduardo B Mariottoni; Alessandro A Jammal; Nara G Ogata; Atalie C Thompson; Samuel I Berchuck; Tais Estrela; Felipe A Medeiros
Journal:  Am J Ophthalmol       Date:  2019-11-09       Impact factor: 5.258

7.  Evidence-based Criteria for Assessment of Visual Field Reliability.

Authors:  Jithin Yohannan; Jiangxia Wang; Jamie Brown; Balwantray C Chauhan; Michael V Boland; David S Friedman; Pradeep Y Ramulu
Journal:  Ophthalmology       Date:  2017-07-01       Impact factor: 12.079

8.  Comparison of Glaucoma Progression Detection by Optical Coherence Tomography and Visual Field.

Authors:  Xinbo Zhang; Anna Dastiridou; Brian A Francis; Ou Tan; Rohit Varma; David S Greenfield; Joel S Schuman; David Huang
Journal:  Am J Ophthalmol       Date:  2017-09-28       Impact factor: 5.258

9.  Comparison of Methods to Detect and Measure Glaucomatous Visual Field Progression.

Authors:  Alessandro Rabiolo; Esteban Morales; Lilian Mohamed; Vicente Capistrano; Ji Hyun Kim; Abdelmonem Afifi; Fei Yu; Anne L Coleman; Kouros Nouri-Mahdavi; Joseph Caprioli
Journal:  Transl Vis Sci Technol       Date:  2019-09-11       Impact factor: 3.283

10.  Estimating Global Visual Field Indices in Glaucoma by Combining Macula and Optic Disc OCT Scans Using 3-Dimensional Convolutional Neural Networks.

Authors:  Hsin-Hao Yu; Stefan R Maetschke; Bhavna J Antony; Hiroshi Ishikawa; Gadi Wollstein; Joel S Schuman; Rahil Garnavi
Journal:  Ophthalmol Glaucoma       Date:  2020-07-11
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.