ArticlePloS one2015
Validation of Smartphone Based Retinal Photography for Diabetic Retinopathy Screening.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 3 of them syntheses that pooled it.
What it found
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The trial behind it
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Who cites it
81 citing papers in PubMed, 3 syntheses or guidelines pooled it, 171 citations in OpenAlex.
- 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
- Artificial Intelligence Screening for Diabetic Retinopathy: the Real-World Emerging Application.Current diabetes reports · 2019Pooled it
- Impacting lives of people with diabetes: lessons learnt in India may be applicable to other low- and middle-income countries.Diabetologia · 2026Review
- Early Detection of Glaucoma and Diabetic Retinopathy in Low-Resource Settings: Barriers and Solutions.Journal of clinical medicine · 2026Review
- Diabetic retinopathy screening model in low and middle-income countries: a scoping review.BMC public health · 2025Article
- Advancing AMD screening with an offline, AI-powered smartphone-based fundus camera: A prospective, real-world clinical validation.Eye (London, England) · 2025Article
- 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
- Structure-preserving super-resolution of retinal fundus images via a dual-transformer residual network.Frontiers in medicine · 2025Article
- Narrative review of comprehensive management strategies for diabetic retinopathy: interdisciplinary approaches and future perspectives.BMJ public health · 2025Review
- A deep learning-based ADRPPA algorithm for the prediction of diabetic retinopathy progression.Scientific reports · 2024Article
- Modern Approach to Diabetic Retinopathy Diagnostics.Diagnostics (Basel, Switzerland) · 2024Review
- Clinical Applications and Future Directions of Smartphone Fundus Imaging.Diagnostics (Basel, Switzerland) · 2024Review
- Wide-field imaging with smartphone based fundus camera: grading of severity of diabetic retinopathy and locating peripheral lesions in diabetic retinopathy.Eye (London, England) · 2024Article
- Prevalence of Selected Ophthalmic Diseases Using a Smartphone-Based Fundus Imaging System in Quang Tri and Thai Nguyen, Vietnam.Healthcare informatics research · 2024Article
- Present and future screening programs for diabetic retinopathy: a narrative review.International journal of retina and vitreous · 2024Review
- Diagnostic Accuracy of Hand-Held Fundus Camera and Artificial Intelligence in Diabetic Retinopathy Screening.Biomedicines · 2023Article
- Teleophthalmology and retina: a review of current tools, pathways and services.International journal of retina and vitreous · 2023Review
- Accuracy of Low-Cost, Smartphone-Based Retinal Photography for Diabetic Retinopathy Screening: A Systematic Review.Clinical ophthalmology (Auckland, N.Z.) · 2023Review
- Evaluation of a New Neural Network Classifier for Diabetic Retinopathy.Journal of diabetes science and technology · 2022Article
21 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo evaluate the sensitivity and specificity of "fundus on phone' (FOP) camera, a smartphone based retinal imaging system, as a screening tool for diabetic retinopathy (DR) detection and DR severity in comparison with 7-standard field digital retinal photography.
designSingle-site, prospective, comparative, instrument validation study.
methods301 patients (602 eyes) with type 2 diabetes underwent standard seven-field digital fundus photography with both Carl Zeiss fundus camera and indigenous FOP at a tertiary care diabetes centre in South India. Grading of DR was performed by two independent retina specialists using modified Early Treatment of Diabetic Retinopathy Study grading system. Sight threatening DR (STDR) was defined by the presence of proliferative DR(PDR) or diabetic macular edema. The sensitivity, specificity and image quality were assessed.
resultsThe mean age of the participants was 53.5 ±9.6 years and mean duration of diabetes 12.5±7.3 years. The Zeiss camera showed that 43.9% had non-proliferative DR(NPDR) and 15.3% had PDR while the FOP camera showed that 40.2% had NPDR and 15.3% had PDR. The sensitivity and specificity for detecting any DR by FOP was 92.7% (95%CI 87.8-96.1) and 98.4% (95%CI 94.3-99.8) respectively and the kappa (ĸ) agreement was 0.90 (95%CI-0.85-0.95 p<0.001) while for STDR, the sensitivity was 87.9% (95%CI 83.2-92.9), specificity 94.9% (95%CI 89.7-98.2) and ĸ agreement was 0.80 (95%CI 0.71-0.89 p<0.001), compared to conventional photography.
conclusionRetinal photography using FOP camera is effective for screening and diagnosis of DR and STDR with high sensitivity and specificity and has substantial agreement with conventional retinal photography.
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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.