Evidence map›Paper›PMID 35260664›Full record

ArticleScientific reports2022

Predicting subjective refraction with dynamic retinal image quality analysis.

Andrea Gil, Carlos S Hernández, Ahhyun Stephanie Nam, Varshini Varadaraj, Nicholas J Durr, Daryl Lim, Shivang R Dave, Eduardo Lage

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Observational
  2. Article
  3. Ametropia detection using a novel, compact wavefront autorefractor.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2024
    Article
  4. 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

8 authors at 3 institutions in 2 countries.

Andrea GilDepartment of Electronics and Communications Technology, Universidad Autónoma de Madrid, Madrid, Spain.
Carlos S HernándezDepartment of Electronics and Communications Technology, Universidad Autónoma de Madrid, Madrid, Spain.
Ahhyun Stephanie NamPlenOptika, Inc., Boston, MA, USA.
Varshini VaradarajWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Nicholas J DurrDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Daryl LimPlenOptika, Inc., Boston, MA, USA.
Shivang R DavePlenOptika, Inc., Boston, MA, USA.
Eduardo LageDepartment of Electronics and Communications Technology, Universidad Autónoma de Madrid, Madrid, Spain. eduardo.lage@uam.es.
Johns Hopkins University · USUniversidad Autónoma de Madrid · ESHospital Universitario Fundación Jiménez Díaz · ES

Funding

Development of an automated mobile tool for accurate, comprehensive refractionR44EY025452 · NEI · PLENOPTIKA, INC. · PI CHU, GARY YIU-KIN, DAVE, SHIVANG RAJENDRA · 2017 to 2022
$2.5M
Improving access to vision correction for health disparity populations with the QuickSee: an accurate, low-cost, easy-to-use objective refractorR43EB024299 · NIBIB · PLENOPTIKA, INC. · PI DAVE, SHIVANG RAJENDRA, DURR, NICHOLAS JAMES · 2017 to 2018
$300k
NEI NIH HHS R44 EY025452NIBIB NIH HHS R43 EB024299
6 · The paper itself

Abstract

The aim of this work is to evaluate the performance of a novel algorithm that combines dynamic wavefront aberrometry data and descriptors of the retinal image quality from objective autorefractor measurements to predict subjective refraction. We conducted a retrospective study of the prediction accuracy and precision of the novel algorithm compared to standard search-based retinal image quality optimization algorithms. Dynamic measurements from 34 adult patients were taken with a handheld wavefront autorefractor and static data was obtained with a high-end desktop wavefront aberrometer. The search-based algorithms did not significantly improve the results of the desktop system, while the dynamic approach was able to simultaneously reduce the standard deviation (up to a 15% for reduction of spherical equivalent power) and the mean bias error of the predictions (up to 80% reduction of spherical equivalent power) for the handheld aberrometer. These results suggest that dynamic retinal image analysis can substantially improve the accuracy and precision of the portable wavefront autorefractor relative to subjective refraction.

Indexed as

Refractive ErrorsAdultHumansOphthalmologic Surgical ProceduresRefraction, OcularRetrospective StudiesVision Tests

Identifiers

PMID35260664
PMCPMC8904625
OpenAlexW4220889866

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.