Literature DB >> 24519424

Effect of scoring and termination rules on test-retest variability of a novel high-pass letter acuity chart.

Nilpa Shah1, Steven C Dakin, Heather L Whitaker, Roger S Anderson.   

Abstract

PURPOSE: Test-retest variability (TRV) limits our ability to detect clinically significant changes in visual acuity (VA). We wanted to compare the effect of scoring and termination rules on TRV for logMAR charts, employing either conventional or pseudo high-pass (Vanishing Optotype) letters.
METHODS: VA measurements and TRV were compared in 50 uncorrected normal observers (17 male, mean age 42.8 ± 16.2 years) using both conventional logMAR-style charts and letter charts of the same layout but containing pseudo high-pass letters (Moorfields Acuity Chart [MAC]). Additional charts employing a different 10-letter alphabet to the Sloan set were also tested. Mean spherical refractive error was -0.93 diopters (D; range, -5.38 to +3.00 D). Acuity scores were calculated using three methods: letter-by-letter, with either line- or chart-based termination, and line-by-line scoring. Bland-Altman methods were used to calculate 95% ranges for TRV.
RESULTS: While acuity thresholds were higher for the MAC, they were less affected by termination criteria and displayed significantly lower 95% TRV values across all scoring techniques. Ordinary least squares regression analysis confirmed a proportional as well as systematic bias between conventional and MAC measurements (r(2) = 0.217, P = 0.001) such that the difference between the two was greater with better VA.
CONCLUSIONS: TRV was consistently lower for a logMAR chart employing high-pass rather than conventional letters in uncorrected refractive error and was less affected by termination and scoring methods. The MAC was also less affected by optical defocus. Further work is required to determine the usefulness of different charts to differentiate between optical and neural losses of vision.

Keywords:  high-pass letters; test–retest variability; vanishing optotypes; visual acuity; visual acuity charts

Mesh:

Year:  2014        PMID: 24519424     DOI: 10.1167/iovs.13-13340

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


  9 in total

1.  Is conversion of decimal visual acuity measurements to logMAR values reliable?

Authors:  Asimina Mataftsi; Dimitrios Koutsimpogeorgos; Periklis Brazitikos; Nikolaos Ziakas; Anna-Bettina Haidich
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2019-05-08       Impact factor: 3.117

2.  Smartphone-Based Visual Acuity Measurement for Screening and Clinical Assessment.

Authors:  Christopher J Brady; Allen O Eghrari; Alain B Labrique
Journal:  JAMA       Date:  2015 Dec 22-29       Impact factor: 56.272

3.  Application of Correlation-Based Scoring Scheme for Visual Acuity Measurements in the Clinical Practice.

Authors:  Csilla Fülep; Illés Kovács; Kinga Kránitz; Zoltán Zsolt Nagy; Gábor Erdei
Journal:  Transl Vis Sci Technol       Date:  2019-04-17       Impact factor: 3.283

4.  Evaluation of the precision of contrast sensitivity function assessment on a tablet device.

Authors:  Michael Dorr; Luis A Lesmes; Tobias Elze; Hui Wang; Zhong-Lin Lu; Peter J Bex
Journal:  Sci Rep       Date:  2017-04-21       Impact factor: 4.379

5.  The time course of the onset and recovery of axial length changes in response to imposed defocus.

Authors:  Samaneh Delshad; Michael J Collins; Scott A Read; Stephen J Vincent
Journal:  Sci Rep       Date:  2020-05-20       Impact factor: 4.379

6.  Psychophysical Validation of a Novel Active Learning Approach for Measuring the Visual Acuity Behavioral Function.

Authors:  Yukai Zhao; Luis Andres Lesmes; Michael Dorr; Peter J Bex; Zhong-Lin Lu
Journal:  Transl Vis Sci Technol       Date:  2021-01-04       Impact factor: 3.283

7.  Low-Contrast High-Pass Visual Acuity Might Help to Detect Glaucoma Damage: A Structure-Function Analysis.

Authors:  Yun Wen; Zidong Chen; Chengguo Zuo; Yangfan Yang; Jiangang Xu; Yang Kong; Hui Cheng; Minbin Yu
Journal:  Front Med (Lausanne)       Date:  2021-05-14

Review 8.  Use of Mobile Apps for Visual Acuity Assessment: Systematic Review and Meta-analysis.

Authors:  Chun Zhang; Dongsong Zhang; Lingge Suo; Xianghan Ke; Di Zhang; Xuejiao Qin; Xuhao Chen; Ying Hong; Wanwei Dai; Defu Wu
Journal:  JMIR Mhealth Uhealth       Date:  2022-02-14       Impact factor: 4.947

9.  The Effect of Induced Intraocular Stray Light on Recognition Thresholds for Pseudo-High-Pass Filtered Letters.

Authors:  Nilpa Shah; Steven C Dakin; Pádraig J Mulholland; Kalina Racheva; Juliane Matlach; Roger S Anderson
Journal:  Transl Vis Sci Technol       Date:  2022-05-02       Impact factor: 3.048

  9 in total

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