Evidence map›Paper›PMID 36823360›Full record

ArticleScientific reports2023

Measuring visual information gathering in individuals with ultra low vision using virtual reality.

Arathy Kartha, Roksana Sadeghi, Chris Bradley, Chau Tran, Will Gee, Gislin Dagnelie

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Arathy KarthaDepartment of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, MD, USA. akartha2@jhmi.edu.
Roksana SadeghiDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Chris BradleyDepartment of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Chau TranBaltiVirtual Inc., Baltimore, MD, USA.
Will GeeBaltiVirtual Inc., Baltimore, MD, USA.
Gislin DagnelieDepartment of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Johns Hopkins University · USJohns Hopkins Medicine · US

Funding

Low Vision Assessments in Virtual Reality (LVAVR)R01EY028452 · NEI · JOHNS HOPKINS UNIVERSITY · PI Gislin Dagnelie · 2017 to 2026
$3.6M
Development of a Multi-sensory Rehabilitation Program for People with Ultra Low VisionR00EY033031 · NEI · STATE COLLEGE OF OPTOMETRY · PI KARTHA, ARATHY GANGA, WITTICH, WALTER · 2023 to 2025
$742k
Development of a Multi-sensory Rehabilitation Program for People with Ultra Low VisionK99EY033031 · NEI · JOHNS HOPKINS UNIVERSITY · PI KARTHA, ARATHY GANGA · 2021 to 2022
$195k
NEI NIH HHS K99 EY033031NEI NIH HHS R00 EY033031NEI NIH HHS R01 EY028452
6 · The paper itself

Abstract

People with ULV (visual acuity ≤ 20/1600 or 1.9 logMAR) lack form vision but have rudimentary levels of vision that can be used for a range of activities in daily life. However, current clinical tests are designed to assess form vision and do not provide information about the range of visually guided activities that can be performed in daily life using ULV. This is important to know given the growing number of clinical trials that recruit individuals with ULV (e.g., gene therapy, stem cell therapy) or restore vision to the ULV range in the blind (visual prosthesis). In this study, we develop a set of 19 activities (items) in virtual reality involving spatial localization/detection, motion detection, and direction of motion that can be used to assess visual performance in people with ULV. We estimated measures of item difficulty and person ability on a relative d prime (d') axis using a signal detection theory based analysis for latent variables. The items represented a range of difficulty levels (- 1.09 to 0.39 in relative d') in a heterogeneous group of individuals with ULV (- 0.74 to 2.2 in relative d') showing the instrument's utility as an outcome measure in clinical trials.

Indexed as

Virtual RealityVision, LowBlindnessHumansSurveys and QuestionnairesVision Disorders

Identifiers

PMID36823360
PMCPMC9950080
OpenAlexW4321597068

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.