Evidence map›Paper›PMID 28761328›Full record

ArticleClinical ophthalmology (Auckland, N.Z.)2017

Training time and quality of smartphone-based anterior segment screening in rural India.

Cassie A Ludwig, Megan R Newsom, Alexandre Jais, David J Myung, Somasheila I Murthy, Robert T Chang

Abstract read
In one paragraph

Article in Clinical ophthalmology (Auckland, N.Z.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Article
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  5. Article
  6. Article
  7. Article
  8. Using a Macro Lens for Anterior Segment Imaging in Rural Panama.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2020
    Article
  9. Article
  10. Could telehealth help eye care practitioners adapt contact lens services during the COVID-19 pandemic?Contact lens & anterior eye : the journal of the British Contact Lens Association · 2020
    Article
  11. Article
  12. Article
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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.

Cassie A LudwigDepartment of Ophthalmology, The Byers Eye Institute, Stanford University School of Medicine.
Megan R NewsomDepartment of Ophthalmology, The Byers Eye Institute, Stanford University School of Medicine.
Alexandre JaisDepartment of Ophthalmology, The Byers Eye Institute, Stanford University School of Medicine.
David J MyungDepartment of Ophthalmology, The Byers Eye Institute, Stanford University School of Medicine.
Somasheila I MurthyCornea and Anterior Segment Service, L V Prasad Eye Institute, Kallam Anji Reddy Campus, Hyderabad, India.
Robert T ChangDepartment of Ophthalmology, The Byers Eye Institute, Stanford University School of Medicine.

Funding

Spectrum Stanford Center for Clinical and Translational Research and EducationTL1TR001084 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$1.1M
NCATS NIH HHS TL1 TR001084
6 · The paper itself

Abstract

objectiveWe aimed at evaluating the ability of individuals without ophthalmologic training to quickly capture high-quality images of the cornea by using a smartphone and low-cost anterior segment imaging adapter (the "EyeGo" prototype).

methodsSeven volunteers photographed 1,502 anterior segments from 751 high school students in Varni, India, by using an iPhone 5S with an attached EyeGo adapter. Primary outcome measures were median photograph quality of the cornea and anterior segment of the eye (validated Fundus Photography vs Ophthalmoscopy Trial Outcomes in the Emergency Department [FOTO-ED] study; 1-5 scale; 5, best) and the time required to take each photograph. Volunteers were surveyed on their familiarity with using a smartphone (1-5 scale; 5, very comfortable) and comfort in assessing problems with the eye (1-5 scale; 5, very comfortable). Binomial logistic regression was performed using image quality (low quality: <4; high quality: ≥4) as the dependent variable and age, comfort using a smartphone, and comfort in assessing problems with the eye as independent variables.

resultsSix of the seven volunteers captured high-quality (median ≥4/5) images with a median time of ≤25 seconds per eye for all the eyes screened. Four of the seven volunteers demonstrated significant reductions in time to acquire photographs (

conclusionIndividuals without ophthalmic training were able to quickly capture a high-quality magnified view of the anterior segment of the eye by using a smartphone with an attached imaging adapter.

Indexed as

adapterEyeGohealthy scholarsmacrolenspaxosscreeningsmartphoneusability

Identifiers

PMID28761328
PMCPMC5522819

What OpenQuestion holds

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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.