ArticleJournal of diabetes science and technology2014
Tele-diabetology to Screen for Diabetes and Associated Complications in Rural India: The Chunampet Rural Diabetes Prevention Project Model.
Article in Journal of diabetes science and technology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
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.
Who cites it
19 citing papers in PubMed, 28 citations in OpenAlex.
- Effectiveness of Teleretinal Imaging-Based Hospital Referral Compared With Universal Referral in Identifying Diabetic Retinopathy: A Cluster Randomized Clinical Trial.JAMA ophthalmology · 2019Trial
- Digital health for rural diabetes care: Implementation experience from China and India.World journal of diabetes · 2025Review
- Guideline Development for Medical Device Technology: Issues for Consideration.Journal of diabetes science and technology · 2023Article
- Financial burden of seeking diabetes mellitus care in India: Evidence from a Nationally Representative Sample Survey.Health care science · 2023Article
- Tele-Ophthalmology Versus Face-to-Face Retinal Consultation for Assessment of Diabetic Retinopathy in Diabetes Care Centers in India: A Multicenter Cross-Sectional Study.Diabetes technology & therapeutics · 2022Observational
- The All India Ophthalmological Society - Academic and Research Committee pan-India diabetic retinopathy project "Fixing the missing link": Prevalence data from Madhya Pradesh and Chhattisgarh.Indian journal of ophthalmology · 2022Article
- Regional variation in diabetic retinopathy and associated factors in Spectrum of Eye Disease in Diabetes (SPEED) study in India-Report 5.Indian journal of ophthalmology · 2021Article
- The All India Ophthalmological Society - Academic and Research Committee pan-India diabetic retinopathy project "Fixing the missing link": Prevalence data from West Bengal.Indian journal of ophthalmology · 2021Article
- Various models for diabetic retinopathy screening that can be applied to India.Indian journal of ophthalmology · 2021Review
- Tribal Odisha Eye Disease Study (TOES) Report # 9. Eye diseases and retinal disorders in an adult and elderly tribal community in Odisha, India - A community hospital-based study.Indian journal of ophthalmology · 2021Article
- Review of retinal cameras for global coverage of diabetic retinopathy screening.Eye (London, England) · 2021Review
- Digital health and diabetes: experience from India.Therapeutic advances in endocrinology and metabolism · 2021Review
- Spectrum of eye disorders in diabetes (SPEED) in India. Report # 2. Diabetic retinopathy and risk factors for sight threatening diabetic retinopathy in people with type 2 diabetes in India.Indian journal of ophthalmology · 2020Observational
- Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence.Eye (London, England) · 2018Article
- Diabetes mellitus and its complications in India.Nature reviews. Endocrinology · 2016Review
- Comparison Among Methods of Retinopathy Assessment (CAMRA) Study: Smartphone, Nonmydriatic, and Mydriatic Photography.Ophthalmology · 2015Article
- Validation of Smartphone Based Retinal Photography for Diabetic Retinopathy Screening.PloS one · 2015Article
- Albuminuria Testing in Low-Income Setting.Journal of primary care & community healthArticle
- Knowledge, Attitude, and Perception of Barriers for Eye Care among Diabetic Persons Registered at Employee Health Department of a Tertiary Eye Hospital of Central Saudi Arabia.Middle East African journal of ophthalmologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diabetes, with its acute and long-term complications, has become a major health hazard in developing countries. An estimated 62.4 million people in India have diabetes. With increasing urbanization and industrialization, we can expect huge numbers of people with diabetes in India in the future. Moreover, all diabetes efforts in India are currently focused in urban areas while 70% of India's population actually lives in rural areas. The current statistics demonstrates that urgent interventions are mandatory to curb the epidemic of diabetes and its complications at the grassroots level. This gap in providing diabetes care can be nullified by the use of tele-diabetology. This holds great potential to overcome barriers and improve quality and access to diabetes care to remote, underserved areas of developing counties. The Chunampet Rural Diabetes Prevention Project (CRDPP) has been developed and tested as a successful model for screening and delivering diabetes care to rural areas in developing countries. Using a tele-diabetology mobile van loaded with appropriate equipment, trained technicians, and satellite technology helped us to screen for diabetes and its complications and deliver diabetes care to remote villages in southern India. The Chunampet model can be applied in reaching out to remote areas where specialized diabetes care facilities may not be available.
Indexed as
Identifiers
What OpenQuestion holds
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.