Evidence map›Paper›PMID 39494876›Full record

ArticleJournal of visualized experiments : JoVE2024

Subjective Refraction Test Using a Smartphone for Vision Screening.

Gang Luo, Chen-Yuan Lee, Zheng Wang, Preana Shivshanker, Yan Jiang, Shrinivas Pundlik

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2024. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Accuracy and precision of a sphero-cylindrical over-refraction app for smartphones.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2025
    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

6 authors.

Gang LuoSchepens Eye Research Institute, Mass Eye & Ear; Department of Ophthalmology, Harvard Medical School; gang.luo@schepens.harvard.edu.
Chen-Yuan LeeSchepens Eye Research Institute, Mass Eye & Ear.
Zheng WangSchool of Medicine, Jiaxing University.
Preana ShivshankerSchepens Eye Research Institute, Mass Eye & Ear.
Yan JiangDepartment of Ophthalmology, Harvard Medical School; Mass eye and ear infirmary.
Shrinivas PundlikSchepens Eye Research Institute, Mass Eye & Ear; Department of Ophthalmology, Harvard Medical School.

Funding

The Harvard Clinical and Translational Science CenterUL1TR002541 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2018 to 2022
$93.0M
Overcome the barriers of vision care in Africa using smartphonesR33EY034345 · NEI · SCHEPENS EYE RESEARCH INSTITUTE · PI JOHN H KEMPEN, Gang Luo · 2024 to 2026
$1.1M
Overcome the barriers of vision care in Africa using smartphonesR21EY034345 · NEI · SCHEPENS EYE RESEARCH INSTITUTE · PI KEMPEN, JOHN H, LUO, GANG · 2022 to 2023
$492k
NCATS NIH HHS UL1 TR002541NEI NIH HHS R21 EY034345NEI NIH HHS R33 EY034345
6 · The paper itself

Abstract

To improve access to vision care and to enable mass vision screening, a smartphone app has been developed to measure refractive errors. Without needing any external attachment, the app running on a standalone phone can be used by lay personnel to measure subjective refraction. Its validity has been pilot-tested in clinical settings and underserved communities. The app estimates the refractive error by measuring the distances of far points for discerning visual stimuli. Spherical equivalent refraction and astigmatism can be measured using Tumbling E letters and grating patterns, respectively. The purpose of this paper is to describe the measurement protocols for performing subjective refraction using the app. Experimental results with 34 subjects (30 eyes for spherical equivalent and 38 eyes for astigmatism assessment) are presented. Measurement with the app was compared with standard clinical methods. The average absolute error of spherical equivalent refraction was 0.63D, and the average absolute error of astigmatism measurement was 0.28D. In addition, 22 subjects were enrolled to evaluate inter-pupillary distance (IPD) measurement with the app. The average absolute error in IPD measurement with the app was 1.2 mm. The protocol for measuring IPD with the app is also described.

Indexed as

SmartphoneVision ScreeningAdultFemaleHumansMaleMobile ApplicationsRefraction, OcularRefractive ErrorsVision Tests

Identifiers

PMID39494876
PMCPMC12093271

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.