Literature DB >> 23908183

Refinement of pointwise linear regression criteria for determining glaucoma progression.

Colleen M Kummet1, K D Zamba, Carrie K Doyle, Chris A Johnson, Michael Wall.   

Abstract

PURPOSE: A variety of pointwise linear regression (PLR) criteria have been proposed for determining glaucomatous visual field progression. However, alternative PLR criteria have only been assessed on a limited basis. The purpose of this study was to evaluate a range of PLR slope and significance criteria to define a clinically useful progression decision rule for longitudinal visual field examinations.
METHODS: Visual field data for each of 140 eyes (one per participant among 96 cases and 44 controls) were evaluated using the Humphrey Field Analyzer II program 24-2 Swedish interactive thresholding algorithm standard test strategy and Goldmann size III stimuli. The pointwise linear regression A2 (PLRA2) method was used to analyze the data, which included nine visual field examinations performed every 6 months for 4 years. Data from the Ocular Hypertension Treatment Study (OHTS) were used to validate the decision rule.
RESULTS: Several slope criteria produced specificities of 0.90 or higher, particularly slope criteria of less than -1.2 dB/y. The use of the slope criterion less than -1.2 dB/y at a significance level of P < 0.04 for classification resulted in a hit rate of 0.38, more than a 2-fold increase compared with a commonly used standard slope criterion of less than -1.0 dB/y at a significance level of P < 0.01. A similar increase in the hit rate was shown for a slope of less than -1.2 dB/y and P < 0.04 compared with the standard criterion in the independent OHTS validation data.
CONCLUSIONS: When systematically evaluating criteria for detecting glaucoma progression, PLR criteria can be refined by requiring a stricter slope criterion such as less than -1.2 dB/y and relaxing the significance criterion to P < 0.04. Increasing the hit rate of PLR will be useful for early detection and treatment of glaucoma.

Entities:  

Keywords:  glaucoma progression; perimetry; pointwise linear regression; trend analysis; visual field

Mesh:

Year:  2013        PMID: 23908183      PMCID: PMC3778872          DOI: 10.1167/iovs.13-11680

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  30 in total

1.  Examination of different pointwise linear regression methods for determining visual field progression.

Authors:  Stuart K Gardiner; David P Crabb
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2.  The primary treatment trial: changes in the visual field analysis by computer-assisted perimetry.

Authors:  R A Hitchings; C S Migdal; R Wormald; D Poinooswamy; F Fitzke
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3.  Regression analysis of the central visual field in chronic glaucoma cases. A follow-up study using automatic perimetry.

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Authors:  W L Membrey; C Bunce; D P Poinoosawmy; F W Fitzke; R A Hitchings
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5.  Simulation of longitudinal threshold visual field data.

Authors:  P G Spry; A B Bates; C A Johnson; B C Chauhan
Journal:  Invest Ophthalmol Vis Sci       Date:  2000-07       Impact factor: 4.799

6.  Visual function-specific perimetry for indirect comparison of different ganglion cell populations in glaucoma.

Authors:  P A Sample; C F Bosworth; E Z Blumenthal; C Girkin; R N Weinreb
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7.  Clinical agreement among glaucoma experts in the detection of glaucomatous changes of the optic disk using simultaneous stereoscopic photographs.

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8.  Comparison of different methods for detecting glaucomatous visual field progression.

Authors:  Eija Vesti; Chris A Johnson; Balwantray C Chauhan
Journal:  Invest Ophthalmol Vis Sci       Date:  2003-09       Impact factor: 4.799

9.  Predictive factors for glaucomatous visual field progression in the Advanced Glaucoma Intervention Study.

Authors:  Kouros Nouri-Mahdavi; Douglas Hoffman; Anne L Coleman; Gang Liu; Gang Li; Douglas Gaasterland; Joseph Caprioli
Journal:  Ophthalmology       Date:  2004-09       Impact factor: 12.079

10.  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

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2.  Structural and functional changes to the retina and optic nerve following panretinal photocoagulation over a 2-year time period.

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3.  Multilayer Macula Vessel Density and Visual Field Progression in Glaucoma.

Authors:  Alireza Kamalipour; Sasan Moghimi; Huiyuan Hou; James A Proudfoot; Takashi Nishida; Linda M Zangwill; Robert N Weinreb
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4.  Nonlinear Trend Analysis of Longitudinal Pointwise Visual Field Sensitivity in Suspected and Early Glaucoma.

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Journal:  Transl Vis Sci Technol       Date:  2015-02-10       Impact factor: 3.283

5.  Prediction of Visual Field Progression from OCT Structural Measures in Moderate to Advanced Glaucoma.

Authors:  Kouros Nouri-Mahdavi; Vahid Mohammadzadeh; Alessandro Rabiolo; Kiumars Edalati; Joseph Caprioli; Siamak Yousefi
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6.  Significant Glaucomatous Visual Field Progression in the First Two Years: What Does It Mean?

Authors:  Andrew J Anderson
Journal:  Transl Vis Sci Technol       Date:  2016-11-01       Impact factor: 3.283

7.  The Effective Dynamic Ranges for Glaucomatous Visual Field Progression With Standard Automated Perimetry and Stimulus Sizes III and V.

Authors:  Michael Wall; Gideon K D Zamba; Paul H Artes
Journal:  Invest Ophthalmol Vis Sci       Date:  2018-01-01       Impact factor: 4.799

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

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9.  An Artificial Intelligence Approach to Detect Visual Field Progression in Glaucoma Based on Spatial Pattern Analysis.

Authors:  Mengyu Wang; Lucy Q Shen; Louis R Pasquale; Paul Petrakos; Sydney Formica; Michael V Boland; Sarah R Wellik; Carlos Gustavo De Moraes; Jonathan S Myers; Osamah Saeedi; Hui Wang; Neda Baniasadi; Dian Li; Jorryt Tichelaar; Peter J Bex; Tobias Elze
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