ArticleClinical ophthalmology (Auckland, N.Z.)2018
Evaluation of a smartphone photoscreening app to detect refractive amblyopia risk factors in children aged 1-6 years.
Article in Clinical ophthalmology (Auckland, N.Z.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04297969 (Detection of Hyperopia by Photoscreener GoCheckKids With Glow Fixation Device), which is not on this map. Cited by 24 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
Detection of Hyperopia by Photoscreener GoCheckKids With Glow Fixation Device
Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 47 citations in OpenAlex.
- Effectiveness of smartphone technology for detection of paediatric ocular diseases-a systematic review.BMC ophthalmology · 2025Pooled it
- Home-based screening tools for amblyopia: a systematic review.Eye (London, England) · 2023Pooled it
- The Fundus Red Reflex Test Using a Smartphone Showed High Accuracy Compared to an Autorefractor to Detect Refractive Errors in Children.Journal of ophthalmic & vision research · 2026Article
- Instrument-Based Screening for the Detection of Amblyopia and Amblyopia Risk Factors: A Report by the American Academy of Ophthalmology.Ophthalmology · 2025Review
- Smartphone-Based Artificial Intelligence for the Detection and Diagnosis of Pediatric Diseases: A Comprehensive Review.Bioengineering (Basel, Switzerland) · 2024Review
- Agreement in non-cycloplegic and cycloplegic refraction between a photoscreener and a calibrated autorefractor.BMC ophthalmology · 2024Article
- Automatic Refractive Error Estimation Using Deep Learning-Based Analysis of Red Reflex Images.Diagnostics (Basel, Switzerland) · 2023Article
- Clinical utility of maximum blink interval measured by smartphone application DryEyeRhythm to support dry eye disease diagnosis.Scientific reports · 2023Observational
- Reliability of Smart Phone Photographs for School Eye Screening.Children (Basel, Switzerland) · 2022Article
- Instrument Referral Criteria for PlusoptiX, SPOT and 2WIN Targeting 2021 AAPOS Guidelines.Clinical ophthalmology (Auckland, N.Z.) · 2022Article
- Vision screening using a smartphone platform.Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo · 2022Article
- [Telemedical applications in ophthalmology in times of COVID-19].Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft · 2021Review
- Effectiveness of Kanna photoscreener in detecting amblyopia risk factors.Indian journal of ophthalmology · 2021Article
- A smartphone ocular alignment measurement app in school screening for strabismus.BMC ophthalmology · 2021Article
- 2020 Evaluation of Portable Vision Screening Instruments.The Yale journal of biology and medicine · 2021Article
- Clinically useful smartphone ophthalmic imaging techniques.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2021Review
- A One-Step, Streamlined Children's Vision Screening Solution Based on Smartphone Imaging for Resource-Limited Areas: Design and Preliminary Field Evaluation.JMIR mHealth and uHealth · 2020Article
- Commentary: How useful is a deep learning smartphone application for screening for amblyogenic risk factors?Indian journal of ophthalmology · 2020Article
- Deep Learning-Based Prediction of Refractive Error Using Photorefraction Images Captured by a Smartphone: Model Development and Validation Study.JMIR medical informatics · 2020Article
- Using an Automated Hirschberg Test App to Evaluate Ocular Alignment.Journal of visualized experiments : JoVE · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo determine the specificity and sensitivity of a smartphone app (GoCheckKids [GCK] used as a photoscreening tool on the iPhone 7 to detect refractive amblyopia risk factors in children aged 1-6 years. PARTICIPANTS AND
methodsA prospective, multicenter, 10-month evaluation of children aged 1-6 years old who underwent photoscreening with the GCK app to detect amblyopia risk factors. The first acceptable quality photograph of each study subject was evaluated by trained technicians using GCK's proprietary automated image processing algorithm to analyze for amblyopia risk factors. Trained graders, masked to the cycloplegic clinical data, remotely reviewed photographs taken with the app and compared results to the gold standard pediatric ophthalmology examinations using the 2013 American Association for Pediatric Ophthalmology & Strabismus amblyopia risk factor guidelines. Primary outcome was the ability of the GCK app to identify amblyopia risk factors compared to the cycloplegic refraction.
resultsThere were 287 patient images analyzed. The overall sensitivity and specificity in detecting amblyopia risk factors were 76% and 85%, respectively using manual grading. The overall automated grading results had a sensitivity and sensitivity in detecting amblyopia risk factors of 65% and 83%, respectively.
conclusionThe GCK smartphone app is a viable photoscreening device for the detection of amblyopia risk factors in children aged 1-6 years.
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Registered trials
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.