ArticleOphthalmology2015
Comparison Among Methods of Retinopathy Assessment (CAMRA) Study: Smartphone, Nonmydriatic, and Mydriatic Photography.
Article in Ophthalmology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 2 of them syntheses that pooled it.
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Who cites it
55 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Use of Smartphones to Detect Diabetic Retinopathy: Scoping Review and Meta-Analysis of Diagnostic Test Accuracy Studies.Journal of medical Internet research · 2020Pooled it
- Cost-effectiveness of Different Diabetic Retinopathy Screening Modalities.Journal of diabetes science and technology · 2015Pooled it
- Effectiveness of Teleretinal Imaging-Based Hospital Referral Compared With Universal Referral in Identifying Diabetic Retinopathy: A Cluster Randomized Clinical Trial.JAMA ophthalmology · 2019Trial
- Comparative Evaluation of Smartphone-Based Fundus Imaging Systems in Dogs and Cats.Veterinary ophthalmology · 2026Article
- Postural changes in retinal vascular parameters and risk of diabetic retinopathy progression in type 2 diabetes mellitus: a pilot study.Eye and vision (London, England) · 2026Article
- Diabetic Retinopathy Screening Using Smartphone-Based Fundus Photography and Deep-Learning Artificial Intelligence in the Yucatan Peninsula: A Field Study.Journal of diabetes science and technology · 2025Article
- Diagnostic accuracy of a smartphone-based device (VistaView) for detection of diabetic retinopathy: A prospective study.PLOS digital health · 2024Article
- Advances in Portable Optical Microscopy Using Cloud Technologies and Artificial Intelligence for Medical Applications.Sensors (Basel, Switzerland) · 2024Review
- Development of 3D-printed universal adapter in enhancing retinal imaging accessibility.3D printing in medicine · 2024Article
- Clinical Applications and Future Directions of Smartphone Fundus Imaging.Diagnostics (Basel, Switzerland) · 2024Review
- Clinical utility of handheld fundus and smartphone-based camera for monitoring diabetic retinal diseases: a review study.International ophthalmology · 2024Review
- Article
- Health system adaptions to improve care for people living with non-communicable diseases during COVID-19 in low-middle income countries: A scoping review.Journal of global health · 2023Article
- Comparisons of Handheld Retinal Imaging with Optical Coherence Tomography for the Identification of Macular Pathology in Patients with Diabetes.Ophthalmic research · 2023Article
- Everything real about unreal artificial intelligence in diabetic retinopathy and in ocular pathologies.World journal of diabetes · 2022Review
- Effective Low-Cost Ophthalmological Screening With a Novel iPhone Fundus Camera at Community Centers.Cureus · 2022Article
- Efficacy of smartphone-based retinal photography by undergraduate students in screening and early diagnosing diabetic retinopathy.International journal of retina and vitreous · 2022Article
- Comparison of RetCam and Smartphone-Based Photography for Retinopathy of Prematurity Screening.Diagnostics (Basel, Switzerland) · 2022Article
- Hypertensive eye disease.Nature reviews. Disease primers · 2022Review
- [Smartphone-based fundus imaging: applications and adapters].Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft · 2022Review
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
purposeWe compared smartphone fundus photography, nonmydriatic fundus photography, and 7-field mydriatic fundus photography for their abilities to detect and grade diabetic retinopathy (DR).
designThis was a prospective, comparative study of 3 photography modalities.
participantsDiabetic patients (n = 300) were recruited at the ophthalmology clinic of a tertiary diabetes care center in Chennai, India.
methodsPatients underwent photography by all 3 modalities, and photographs were evaluated by 2 retina specialists.
main outcome measuresThe sensitivity and specificity in the detection of DR for both smartphone and nonmydriatic photography were determined by comparison with the standard method, 7-field mydriatic fundus photography.
resultsThe sensitivity and specificity of smartphone fundus photography, compared with 7-field mydriatic fundus photography, for the detection of any DR were 50% (95% confidence interval [CI], 43-56) and 94% (95% CI, 92-97), respectively, and of nonmydriatic fundus photography were 81% (95% CI, 75-86) and 94% (95% CI, 92-96%), respectively. The sensitivity and specificity of smartphone fundus photography for the detection of vision-threatening DR were 59% (95% CI, 46-72) and 100% (95% CI, 99-100), respectively, and of nonmydriatic fundus photography were 54% (95% CI, 40-67) and 99% (95% CI, 98-100), respectively.
conclusionsSmartphone and nonmydriatic fundus photography are each able to detect DR and sight-threatening disease. However, the nonmydriatic camera is more sensitive at detecting DR than the smartphone. At this time, the benefits of the smartphone (connectivity, portability, and reduced cost) are not offset by the lack of sufficient sensitivity for detection of DR in most clinical circumstances.
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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.