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      Do picture-based charts overestimate visual acuity? Comparison of Kay Pictures, Lea Symbols, HOTV and Keeler logMAR charts with Sloan letters in adults and children

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          Abstract

          Purpose

          Children may be tested with a variety of visual acuity (VA) charts during their ophthalmic care and differences between charts can complicate the interpretation of VA measurements. This study compared VA measurements across four pediatric charts with Sloan letters and identified chart design features that contributed to inter-chart differences in VA.

          Methods

          VA was determined for right eyes of 25 adults and 17 children (4–9 years of age) using Crowded Kay Pictures, Crowded linear Lea Symbols, Crowded Keeler logMAR, Crowded HOTV and Early Treatment of Diabetic Retinopathy Study (ETDRS) charts in focused and defocused (+1.00 DS optical blur) conditions. In a separate group of 25 adults, we compared the VA from individual Kay Picture optotypes with uncrowded Landolt C VA measurements.

          Results

          Crowded Kay Pictures generated significantly better VA measurements than all other charts in both adults and children (p < 0.001; 0.15 to 0.30 logMAR). No significant differences were found between other charts in adult participants; children achieved significantly poorer VA measurements on the ETDRS chart compared with pediatric acuity tests. All Kay Pictures optotypes produced better VA (p < 0.001), varying from -0.38 ± 0.13 logMAR (apple) to -0.57 ± 0.10 logMAR (duck), than the reference Landolt C task (mean VA -0.19 ± 0.08 logMAR).

          Conclusion

          Kay Pictures over-estimated VA in all participants. Variability between Kay Pictures optotypes suggests that shape cues aid in optotype determination. Other pediatric charts offer more comparable VA measures and should be used for children likely to progress to letter charts.

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          Most cited references37

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          Statistical methods for assessing agreement between two methods of clinical measurement.

          In clinical measurement comparison of a new measurement technique with an established one is often needed to see whether they agree sufficiently for the new to replace the old. Such investigations are often analysed inappropriately, notably by using correlation coefficients. The use of correlation is misleading. An alternative approach, based on graphical techniques and simple calculations, is described, together with the relation between this analysis and the assessment of repeatability.
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            A computerized method of visual acuity testing: adaptation of the early treatment of diabetic retinopathy study testing protocol.

            To develop a computerized method of visual acuity testing for clinical research as an alternative to the standard Early Treatment for Diabetic Retinopathy Study (ETDRS) testing protocol, and to evaluate its test-retest reliability and concordance with standard ETDRS testing. Test-retest reliability study. Multicenter setting of a study population of 265 patients at three clinical sites. Visual acuity was measured with both the electronic visual acuity testing algorithm (E-ETDRS) and standard ETDRS protocol (S-ETDRS) twice on one eye of each patient. E-ETDRS testing was conducted using the electronic visual acuity tester (EVA), which utilizes a programmed Palm (Palm, Inc, Santa Clara, California, USA) hand-held device communicating with a personal computer and 17-inch monitor at a test distance of 3 meters. For the E-ETDRS protocol, test-retest reliability was high (r = 0.99; with 89% and 98% of retests within 0.1 logMAR and 0.2 logMAR of initial tests, respectively) and comparable with that of S-ETDRS testing (r = 0.99; with 87% and 98% of retests within 0.1 logMAR and 0.2 logMAR of initial test, respectively). The E-ETDRS and S-ETDRS scores were highly correlated (r = 0.96 for initial tests and r = 0.97 for repeat tests). Based on estimates of 95% confidence intervals, a change in visual acuity of 0.2 logMAR (10 letters) from a baseline level is unlikely to be related to measurement variability using either the E-ETDRS or the S-ETDRS visual acuity testing protocol. The E-ETDRS protocol has high test-retest reliability and good concordance with S-ETDRS testing. The computerized method has advantages over the S-ETDRS testing in electronically capturing the data for each tested letter, requiring only a single distance for testing from 20/12 to 20/800, potentially reducing testing time, and potentially decreasing technician-related bias.
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              Neonatal Glycemia and Neurodevelopmental Outcomes at 2 Years.

              Neonatal hypoglycemia is common and can cause neurologic impairment, but evidence supporting thresholds for intervention is limited.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                2 February 2017
                2017
                : 12
                : 2
                : e0170839
                Affiliations
                [1 ]School of Optometry and Vision Science, The University of Auckland, Auckland, New Zealand
                [2 ]School of Optometry and Vision Science, University of Waterloo, Waterloo, Ontario, Canada
                Durham University, UNITED KINGDOM
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: NSA BT AVC.

                • Data curation: NSA.

                • Formal analysis: NSA AVC BT.

                • Funding acquisition: NSA SKS.

                • Investigation: NSA SKS MT.

                • Methodology: NSA BT RJJ AVC.

                • Project administration: NSA.

                • Supervision: NSA.

                • Visualization: NSA RJJ AVC.

                • Writing – original draft: NSA.

                • Writing – review & editing: NSA AVC BT RJJ.

                [¤a]

                Current address: Department of Ophthalmology, The University of Auckland, Auckland, New Zealand

                [¤b]

                Current address: OPSM Thames, Thames, Waikato, New Zealand

                Author information
                http://orcid.org/0000-0003-1999-5274
                Article
                PONE-D-16-32842
                10.1371/journal.pone.0170839
                5289485
                28152076
                1c58e4fb-7af4-4962-b992-c3299fcc3096
                © 2017 Anstice et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 16 August 2016
                : 11 January 2017
                Page count
                Figures: 6, Tables: 1, Pages: 17
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100006346, Faculty of Medical and Health Sciences, University of Auckland;
                Award ID: 3704420
                Award Recipient :
                Funded by: New Zealand Association of Optometrists
                Award ID: Paul Dunlop Memorial Scholarship
                Award Recipient :
                This study was supported by the University of Auckland Faculty Research Development Fund, grant number 3704420, https://www.staff.auckland.ac.nz/en/research/funding-and-ethics/applying-for-research-funding/applying-for-internal-funding/faculty-research-development-fund-frdf.html, and the New Zealand Association of Optometrists, Paul Dunlop Memorial Scholarship, http://www.nzao.co.nz/sites/default/files/students/Paul_Dunlop_regs_plus_NERF_Application_Form_Research_2014.pdf.
                Categories
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                Computer and Information Sciences
                Data Visualization
                Infographics
                Charts
                Medicine and Health Sciences
                Pediatrics
                Biology and Life Sciences
                Neuroscience
                Sensory Perception
                Vision
                Visual Acuity
                Biology and Life Sciences
                Psychology
                Sensory Perception
                Vision
                Visual Acuity
                Social Sciences
                Psychology
                Sensory Perception
                Vision
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                All relevant data are within the paper. Raw data are within Dryad and can be found at: http://dx.doi.org/10.5061/dryad.rn38r.

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