Evidence map›Paper›PMID 33505768›Full record

ArticleTranslational vision science & technology2021

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

Yukai Zhao, Luis Andres Lesmes, Michael Dorr, Peter J Bex, Zhong-Lin Lu

Abstract read
In one paragraph

Article in Translational vision science & technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yukai ZhaoCenter for Neural Science, New York University, New York, NY, USA.
Luis Andres LesmesAdaptive Sensory Technology, San Diego, CA, USA.
Michael DorrAdaptive Sensory Technology, San Diego, CA, USA.
Peter J BexDepartment of Psychology, Northeastern University, Boston, MA, USA.
Zhong-Lin LuCenter for Neural Science, New York University, New York, NY, USA.

Funding

Efficient Assessment of Visual Deficits and Rehabilitation Methods in AmblyopiaR01EY021553 · NEI · OHIO STATE UNIVERSITY · PI LU, ZHONG-LIN · 2012 to 2016
$2.1M
Efficient Assessment of Visual Deficits in Low VisionR01EY025658 · NEI · OHIO STATE UNIVERSITY · PI YU, DEYUE · 2016 to 2020
$1.9M
Eye Movement Rehabilitation in Low Vision PatientsR01EY029713 · NEI · NORTHEASTERN UNIVERSITY · PI BEX, PETER JOHN · 2019 to 2023
$1.9M
NEI NIH HHS R01 EY021553NEI NIH HHS R01 EY025658NEI NIH HHS R01 EY029713
6 · The paper itself

Abstract

Purpose: To evaluate the performance of the quantitative visual acuity (qVA) method in measuring the visual acuity (VA) behavioral function. Methods: We evaluated qVA performance in terms of the accuracy, precision, and efficiency of the estimated VA threshold and range in Monte Carlo simulations and a psychophysical experiment. We also compared the estimated VA threshold from the qVA method with that from the Electronic Early Treatment Diabetic Retinopathy Study (E-ETDRS) and Freiburg Visual Acuity Text (FrACT) methods. Four repeated measures with all three methods were conducted in four Bangerter foil conditions in 14 eyes. Results: In both simulations and psychophysical experiment, the qVA method quantified the full acuity behavioral function with two psychometric parameters (VA threshold and VA range) with virtually no bias and with high precision and efficiency. There was a significant correlation between qVA estimates of VA threshold and range in the psychophysical experiment. In addition, qVA threshold estimates were highly correlated with those from the E-ETDRS and FrACT methods. Conclusions: The qVA method can provide an accurate, precise, and efficient assessment of the full acuity behavioral function with both VA threshold and range. Translational Relevance: The qVA method can accurately, precisely, and efficiently assess the full VA behavioral function. Further research will evaluate the potential value of these rich measures for both clinical research and patient care.

Indexed as

Diabetic RetinopathyEyeHumansVision TestsVisual AcuityaccuracyefficiencyprecisionqVAvisual acuity

Identifiers

PMID33505768
PMCPMC7794273

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.