Evidence map›Paper›PMID 37847202›Full record

ArticleTranslational vision science & technology2023

Self-Reported Visual Ability Versus Task Performance in Individuals With Ultra-Low Vision.

Arathy Kartha, Ravnit Kaur Singh, Chris Bradley, Gislin Dagnelie

Open access · goldAbstract read
In one paragraph

Article in Translational vision science & technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Development and Validation of the Assessment of Low Luminance Vision-Related Activities.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
    Observational
  2. Low Vision Assessment in Virtual Reality (LVAVR): Spatial Computing in Virtual Reality and Real-World.2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops · 2026
    Article
  3. Article
  4. Article
  5. Aligning Visual Prosthetic Development With Implantee Needs.Translational vision science & technology · 2024
    Article
  6. Aligning visual prosthetic development with implantee needs.medRxiv : the preprint server for health sciences · 2024
    Article
  7. Article
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

4 authors at 2 institutions in 1 country.

Arathy KarthaSUNY College of Optometry, New York, NY, USA.
Ravnit Kaur SinghZanvyl Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD, USA.
Chris BradleyWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Gislin DagnelieWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Johns Hopkins University · USSUNY College of Optometry · 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

Purpose: Visual functioning questionnaires are commonly used as patient-reported outcome measures to estimate visual ability. Performance measures, on the other hand, provide a direct measure of visual ability. For individuals with ultra-low vision (ULV; visual acuity (VA) <20/1600), the ultra-low vision visual functioning questionnaire (ULV-VFQ) and the Wilmer VRI-a virtual reality-based performance test-estimate self-reported and actual visual ability, respectively, for activities of daily living. But how well do self-reports from ULV-VFQ predict actual task performance in the Wilmer VRI? Methods: We administered a subset of 10 matching items from the ULV-VFQ and Wilmer VRI to 27 individuals with ULV. We estimated item measures (task difficulty) and person measures (visual ability) using Rasch analysis for ULV-VFQ and using latent variable signal detection theory for the Wilmer VRI. We then used regression analysis to compare person and item measure estimates from self-reports and task performance. Results: Item and person measures were modestly correlated between the two instruments, with r2 = 0.47 (P = 0.02) and r2 = 0.36 (P = 0.001), demonstrating that self-reports are an imperfect predictor of task difficulty and performance. Conclusions: While self-reports impose a lower demand for equipment and personnel, actual task performance should be measured to assess visual ability in ULV. Translational Relevance: Visual performance measures should be the preferred outcome measure in clinical trials recruiting individuals with ULV. Virtual reality can be used to standardize tasks.

Indexed as

Activities of Daily LivingVision, LowHumansSelf ReportTask Performance and AnalysisVisual Acuity

Identifiers

PMID37847202
PMCPMC10584017
OpenAlexW4387692087

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.