Evidence map›Paper›PMID 38639931›Full record

ArticleTranslational vision science & technology2024

Scotopic and Photopic Conventional Visual Acuity and Hyperacuity - Binocular Summation.

Sophie Korn, Khaldoon O Al-Nosairy, Akshara V Gopiswaminathan, Catarina João, Lorenzo Scanferla, Michael Bach, Michael B Hoffmann

Abstract read
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Article in Translational vision science & technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Sophie KornDepartment of Ophthalmology, Otto-von-Guericke-University, Magdeburg, Germany.
Khaldoon O Al-NosairyDepartment of Ophthalmology, Otto-von-Guericke-University, Magdeburg, Germany.
Akshara V GopiswaminathanDepartment of Ophthalmology, Otto-von-Guericke-University, Magdeburg, Germany.
Catarina JoãoDepartment of Ophthalmology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Lorenzo ScanferlaDepartment of Ophthalmology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Michael BachEye Center, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany.
Michael B HoffmannDepartment of Ophthalmology, Otto-von-Guericke-University, Magdeburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The purpose of this study was to determine and compare binocular summation (BiS) of conventional visual acuity (cVA) versus hyperacuity (hVA) for photopic and scotopic luminance conditions as a potential biomarker to assess the outcome of interventions on binocular function. Methods: Sixteen young adults (age range [years] = 21-31; 8 women; cVA logMAR < 0.0) participated in this study. The Freiburg Visual Acuity Test (FrACT) was used for VA testing and retested on another day. Both cVA and hVA were determined for dark grey optotypes on light grey background. Participants underwent 40 minutes of dark adaptation prior to scotopic VA testing. Binocular and monocular VA testing was performed. The eye with better VA over the 2 days of testing was selected, the BiS was quantified (binocular VA - better monocular VA) and repeated measures ANOVAs were performed. Results: Binocular VA exceeded monocular VA for all luminance conditions, VA-types, and sessions. We report BiS estimates for photopic and scotopic cVA and hVA, (logMAR BiS ± SEM [decimal BiS]): photopic = -0.01 ± 0.01 [1.03] and -0.06 ± 0.03 [1.15]; and scotopic = -0.05 ± 0.01 [1.12] and -0.11 ± 0.04 [1.28], respectively). Improvement for binocular vision estimates ranged from 0.01 to 0.11 logMAR. A repeated-measures ANOVA (RM ANOVA) did not reveal significant effects of LUMINANCE or VA TYPE on BiS, albeit a trend for strongest BiS for scotopic hVA (15% vs. 28%, photopic versus scotopic, respectively) and weakest for photopic cVA (3% vs. 12%, photopic versus scotopic conditions, respectively). Conclusions: Our results indicate that BiS of VA is relevant to scotopic and photopic hVA and cVA. It appears therefore a plausible candidate biomarker to assess the outcome of retinal therapies restoring rod or cone function on binocular vision. Translational Relevance: Binocular summation of visual acuity might serve as a clinical biomarker to monitor therapy outcome on binocular rod and cone-mediated vision.

Indexed as

Vision, BinocularVision TestsAdultBiomarkersFemaleHumansVision, OcularVisual AcuityYoung AdultBiomarkers

Identifiers

PMID38639931
PMCPMC11037493

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.