Diabetic retinopathy screening programme utilising non‐mydriatic fundus imaging in slum populations of New Delhi, India
Open accessAbstract
Objectives: To develop and implement a community‐based programme for screening of diabetic retinopathy (DR) in urban populations of Delhi. Methods: Known diabetics (KD s) aged 40 years and older were identified through house‐to‐house surveys, volunteers and publicity. All KD s were referred to DR screening camps organised locally where procedures included brief medical history, ocular examination and non‐mydriatic fundus photography using portable handheld camera. Fundal images were graded on the spot by trained optometrists for DR. Patients with DR were referred to tertiary centre for management. Results: A total of 11 566 KD s were identified, of whom 9435 (81.6%) visited DR screening camps and 8432 (89.4%) had DR gradable images. DR was identified in 13.5% of subjects; 351 cases were mild NPDR, 567 moderate, 92 severe. Seventy‐seven had PDR, and 49 had DME, and 2.7% of participants were blind (presenting visual acuity <3/60 in better eye). Non‐use of lifestyle management, presence of systemic complications, BMI <18.5 kg/m 2, disease duration of >5 years and uncontrolled diabetes were associated with increased odds of DR. All cases with DR were referred, and 420 (37%) successful referrals to base hospital were observed. Conclusion: The programme of creating awareness about DR, identifying KD s and optometrist‐led DR screening using non‐mydriatic fundus camera based in slums was successful.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Mydriasis was employed in 17 out of 30 studies, while the remainder used non-mydriatic techniques when clinically appropriate.
“Mydriasis was employed in 17/30 studies, while the remainder used non-mydriatic techniques when clinically appropriate [9, 12, 18, 22, 24, 27, 33, 35, 36].”
From Diabetic retinopathy screening model in low and middle-income countries: a scoping review (2025) · cites this paper as [22]
The International Clinical Diabetic Retinopathy severity scale was the most commonly utilized severity scale, used in 15 out of 30 studies.
“Various severity scales are used to classify diabetic retinopathy (DR), with the International Clinical Diabetic Retinopathy (ICDR) severity scale being the most commonly utilized in 15 out of 30 studies [9, 11–13, 15, 18, 21–23, 32, 34–36].”
From Diabetic retinopathy screening model in low and middle-income countries: a scoping review (2025) · cites this paper as [22]
Remote grading of retinal images was widely utilized, with 18 out of 30 studies relying on this approach.
“Remote grading of retinal images is widely utilized, with 18 out of 30 studies relying on this approach [10, 15, 16, 18, 21–27, 29–35, 37]”
From Diabetic retinopathy screening model in low and middle-income countries: a scoping review (2025) · cites this paper as [22]
The predominant method for managing remotely graded images was store and forward (14 out of 30 studies), with seven studies adopting real-time processing.
“The predominant method for managing these remotely graded images is ‘store and forward’ (14 out of 30 studies) [15, 16, 18, 22–24, 26–30, 33, 35, 37], with seven studies adopting the ‘real-time’ processing method [8, 10, 11, 25, 31, 32, 34]”
From Diabetic retinopathy screening model in low and middle-income countries: a scoping review (2025) · cites this paper as [22]
Cited by
Sorted by citations
Piyasena, M. M. P. N., Yip, J. L. Y., MacLeod, D., Kim, M., & Gudlavalleti, V. S. M. (2019) · BMC Ophthalmology · doi:10.1186/s12886-019-1092-3 · Cited by 70 · see citing works
Diabetic retinopathy screening model in low and middle-income countries: a scoping review
Lestari, Y. D., Sitompul, R., Widyahening, I. S., Tahapary, D. L., Yusuf, P. A., Sasongko, M. B., Riono, P., Nursakina, Y., & Alexandra, G. (2025) · BMC Public Health · doi:10.1186/s12889-025-25543-6 · Cited by 11 · see citing works
- Authors
- Wadhwani, M., Vashist, P., Singh, S. S., Gupta, N., Malhotra, S., Gupta, A., Shukla, P., Bhardwaj, A., & Gupta, V.
- Affiliations
- All India Institute of Medical Sciences (IN)
- Corresponding author
- Gupta, Vivek
- Venue
- Tropical Medicine & International Health
- Publisher
- Wiley
- Published
- 2018-03
- Volume
- 23
- Issue
- 4
- Pages
- 405-414
- ISSN
- 1360-2276 (ISSN-L)
- 1365-3156
- OpenAlex
- W2791834572
- Cited by
- 22
- References
- 0
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 4 · 2023: 3 · 2022: 2 · 2021: 5 · 2020: 3 · 2019: 1 · 2018: 1
- FWCI
- 1.73
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Tropical Medicine & International Health (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Retinal Imaging and Analysis
- Health Sciences › Medicine › Ophthalmology › Retinal Diseases and Treatments
- Health Sciences › Medicine › Epidemiology › Ophthalmology and Visual Impairment Studies
- Keywords
- diabetic retinopathy, diabetic retinopathy screening, non-mydriatic fundus photography, handheld camera, community-based screening, slum population, New Delhi, diabetic macular edema, proliferative diabetic retinopathy, risk factors, tertiary care referral, diabetes awareness
- MeSH terms
- Adult, Aged, Blindness, Cities, Diabetes Mellitus, Diabetic Retinopathy, Female, Fundus Oculi, Humans, India, Male, Mass Screening, Middle Aged, Mydriatics, Photography, Poverty, Poverty Areas, Referral and Consultation, Retina, Risk Factors, Urban Population, Visual Acuity, Body Mass Index, Disease Management
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review