Evidence map›Paper›PMID 35148218›Full record

ArticleOphthalmic surgery, lasers & imaging retina2022

A Smartphone-Based Near-Vision Testing System: Design, Accuracy, and Reproducibility Compared With Standard Clinical Measures.

Do Gyun Kim, Aaron D Webel, Mark S Blumenkranz, Yonguk Kim, Ji Ho Yang, Seung Young Yu, Hyung Woo Kwak, Daniel Palanker, Brian Toy, David Myung

Open access · greenAbstract read
In one paragraph

Article in Ophthalmic surgery, lasers & imaging retina, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 1 institution in 1 country.

Do Gyun Kim
Aaron D Webel
Mark S Blumenkranz
Yonguk Kim
Ji Ho Yang
Seung Young Yu
Hyung Woo Kwak
Daniel Palanker
Brian Toy
David Myung
Palo Alto University · US

Funding

Stanford Vision Research CoreP30EY026877 · NEI · STANFORD UNIVERSITY · PI Jeffrey L Goldberg · 2017 to 2026
$8.0M
NEI NIH HHS P30 EY026877
6 · The paper itself

Abstract

BACKGROUND AND

objectiveOphthalmologic telemedicine has emerged during the COVID-19 pandemic. The objective of this study is to assess the accuracy and reproducibility of a smartphone-based home vision monitoring system (Sightbook) and to compare it with existing clinical standards. PATIENTS AND

methodsNear Snellen visual acuity (VA) was measured with Sightbook and compared with conventional measurements for distance and near VA at an academic medical center ophthalmology clinic in 200 patients with a variety of different specified preexisting ocular conditions. Measurements of contrast sensitivity were also compared by using an existing commercially available chart system in 15 normal patients and 15 patients with age-related macular degeneration.

resultsSightbook VA tests were reproducible (SD = ±0.054 logMAR), and correlation with standard VA methods was significant (

conclusionsSmartphone-based VA and contrast sensitivity are highly correlated with standard charts and may be useful in augmenting limited inoffice care.

Indexed as

COVID-19SmartphoneHumansPandemicsReproducibility of ResultsSARS-CoV-2

Identifiers

PMID35148218
PMCPMC10637325
OpenAlexW4211039874

What OpenQuestion holds

Textmetadata
LicenceTDM
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.