Literature DB >> 3358727

A comparison of experienced clinical observers and statistical tests in detection of progressive visual field loss in glaucoma using automated perimetry.

E B Werner1, K I Bishop, J Koelle, G R Douglas, R P LeBlanc, R P Mills, B Schwartz, W R Whalen, J T Wilensky.   

Abstract

The visual fields of 30 patients (subjects) with glaucoma were sent to six experienced clinicians (observers). Each subject had at least four visual field examinations on the OCTOPUS 201 automated perimeter spanning at least one year. Each observer was asked to review the visual field data of each subject and determine whether the visual fields were stable, improved, or worse over time. The visual field data were then analyzed using six different statistical models. In only 15 of the 30 subjects did at least five of the six human observers agree on the behavior of the visual field. Agreement among the statistical models was better, with at least five of the six models agreeing on 22 of the 30 subjects. It was concluded that there is, at present, no validated technique for detecting progressive visual field loss in glaucoma using automated perimetry when relatively few visual fields are available for analysis.

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Mesh:

Year:  1988        PMID: 3358727     DOI: 10.1001/archopht.1988.01060130673024

Source DB:  PubMed          Journal:  Arch Ophthalmol        ISSN: 0003-9950


  17 in total

1.  How effectively does medical care achieve its purposes? Evaluation of peer-reviewed literature in ophthalmology related to wellness.

Authors:  George L Spaeth; Daniela S Monteiro de Barros; Moataz Gheith; Ghada Ali Siam; Mehul Nagarsheth
Journal:  Trans Am Ophthalmol Soc       Date:  2007

2.  Visual field progression: comparison of Humphrey Statpac2 and pointwise linear regression analysis.

Authors:  A I McNaught; D P Crabb; F W Fitzke; R A Hitchings
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  1996-07       Impact factor: 3.117

Review 3.  Detection of visual field progression in glaucoma with standard achromatic perimetry: a review and practical implications.

Authors:  Kouros Nouri-Mahdavi; Nariman Nassiri; Annette Giangiacomo; Joseph Caprioli
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2011-08-26       Impact factor: 3.117

4.  Comparison of regression models for serial visual field analysis.

Authors:  Jun Mo Lee; Kouros Nouri-Mahdavi; Esteban Morales; Abdelmonem Afifi; Fei Yu; Joseph Caprioli
Journal:  Jpn J Ophthalmol       Date:  2014-08-28       Impact factor: 2.447

5.  A perimetric nerve fiber bundle map.

Authors:  J Weber; H Ulrich
Journal:  Int Ophthalmol       Date:  1991-05       Impact factor: 2.031

6.  Perimetry--back to the future?

Authors:  R A Hitchings
Journal:  Br J Ophthalmol       Date:  1994-11       Impact factor: 4.638

7.  Computerised perimetry--the emperor's new clothes?

Authors:  J L Jay
Journal:  Br J Ophthalmol       Date:  1994-07       Impact factor: 4.638

8.  Early detection of visual field progression in glaucoma: a comparison of PROGRESSOR and STATPAC 2.

Authors:  A C Viswanathan; F W Fitzke; R A Hitchings
Journal:  Br J Ophthalmol       Date:  1997-12       Impact factor: 4.638

9.  Interobserver agreement on visual field progression in glaucoma: a comparison of methods.

Authors:  A C Viswanathan; D P Crabb; A I McNaught; M C Westcott; D Kamal; D F Garway-Heath; F W Fitzke; R A Hitchings
Journal:  Br J Ophthalmol       Date:  2003-06       Impact factor: 4.638

10.  Agreement between event-based and trend-based glaucoma progression analyses.

Authors:  H L Rao; T Kumbar; A U Kumar; J G Babu; S Senthil; C S Garudadri
Journal:  Eye (Lond)       Date:  2013-04-19       Impact factor: 3.775

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