Literature DB >> 15650759

Pointwise linear progression criteria and the detection of visual field change in a glaucoma trial.

M R Wilkins1, F W Fitzke, P T Khaw.   

Abstract

BACKGROUND: Current pointwise linear regression (PLR) change criteria for visual field analysis are largely empirical.
METHODS: Two independent sets of Humphrey Field Analyzer fields were analysed using PLR. Set i, 56 patients, and set ii, 97 patients, were followed over 16 months. Criteria were tested against set i, and then validated using set ii. Each criterion specified a fixed critical slope of 1 dB/year and with a range of significance from P<0.001 to 0.05. The criteria were varied by altering location number, cluster arrangement, and by requiring points to show change over both 12 and 16 months. True glaucomatous change was differentiated from noise by looking for exclusive progression (EP), the detection of progression without detection of improvement.
RESULTS: Set i required 1 point to have a slope of 1 dB/year and P<0.05 labelled 64% progressing and 58% improving, whereas several stricter criteria were capable of detecting EP. Two points in a perimetric nerve fibre bundle (PNFB) cluster gave optimal EP detection, labelling 8.9% progressing in set i and 7.2% progressing in set ii with a cutoff P-value of 0.026 inset i and 0.013 inset ii.
CONCLUSION: Lax PLR criteria detect large amounts of change. Validating criteria using two data sets allow selection of better criteria, capable of detecting EP. The criterion involving 2 points changing in a PNFB cluster offers the best option for exclusively detecting progression.

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Year:  2006        PMID: 15650759     DOI: 10.1038/sj.eye.6701781

Source DB:  PubMed          Journal:  Eye (Lond)        ISSN: 0950-222X            Impact factor:   3.775


  5 in total

Review 1.  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

2.  Lamina Cribrosa in Glaucoma: Diagnosis and Monitoring.

Authors:  Ricardo Y Abe; Carolina P B Gracitelli; Alberto Diniz-Filho; Andrew J Tatham; Felipe A Medeiros
Journal:  Curr Ophthalmol Rep       Date:  2015-06-01

3.  Prediction of glaucomatous visual field progression: pointwise analysis.

Authors:  Kilhwan Shon; Gadi Wollstein; Joel S Schuman; Kyung Rim Sung
Journal:  Curr Eye Res       Date:  2014-07       Impact factor: 2.424

4.  Spatial and Temporal Characteristics of Visual Field Progression in Glaucoma Assessed by Parallel Factor Analysis.

Authors:  Seungmo Kim; Kilhwan Shon; Kyung Rim Sung
Journal:  Korean J Ophthalmol       Date:  2019-06

5.  Comparison of Standard Automated Perimetry, Short-Wavelength Automated Perimetry, and Frequency-Doubling Technology Perimetry to Monitor Glaucoma Progression.

Authors:  Rongrong Hu; Chenkun Wang; Yangshun Gu; Lyne Racette
Journal:  Medicine (Baltimore)       Date:  2016-02       Impact factor: 1.889

  5 in total

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