Evidence map›Paper›PMID 31937736›Full record

ArticleIndian journal of ophthalmology2020

A scalable, self-sustaining model for screening and treatment of diabetic retinopathy in rural Karnataka.

Krishna R Murthy, Praveen R Murthy, Bhargavi Murali, V Basavaraju, B S Sindhu, Anusha Churi, Dinesh Kumar, B S Roopa, Giridhara R Babu, Suresh Shapeti and 2 more

Abstract readMulticenter Study
In one paragraph

Article in Indian journal of ophthalmology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Tackling diabetic retinopathy from the grassroots.Indian journal of ophthalmology · 2020
    Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Krishna R MurthyDepartment of Vitreo-retina, Vittala International Institute of Ophthalmology; Manipal Academy of Higher Education, Manipal, Karnataka, Faculty Scientist, Institute of Bioinformatics; Vittala International Institute of Ophthalmology; Prabha Eye Clinic and Research Centre, Bangalore, Karnataka, India.
Praveen R MurthyVittala International Institute of Ophthalmology; Prabha Eye Clinic and Research Centre, Bangalore, Karnataka, India.
Bhargavi MuraliVittala International Institute of Ophthalmology, Bangalore, Karnataka, India.
V BasavarajuVittala International Institute of Ophthalmology, Bangalore, Karnataka, India.
B S SindhuVittala International Institute of Ophthalmology, Bangalore, Karnataka, India.
Anusha ChuriPrabha Eye Clinic and Research Centre, Bangalore, Karnataka, India.
Dinesh KumarDepartment of Ophthalmology, Government District Hospital, Tumkur, Karnataka, India.
B S RoopaDepartment of Ophthalmology, Government District Hospital, Tumkur, Karnataka, India.
Giridhara R BabuIndian Institute of Public Health-Bangalore, Public Health Foundation of India, Bangalore, Karnataka, India.
Suresh ShapetiIndian Institute of Public Health-Bangalore, Public Health Foundation of India, Bangalore, Karnataka, India.
Clare GilbertDepartment of Clinical Research, London School of Hygiene and Tropical Medicine, London, United Kingdom.
G V S MurthyDepartment of Clinical Research, London School of Hygiene and Tropical Medicine, London, United Kingdom; Indian Institute of Public Health, Public Health Foundation of India, Hyderabad, Telangana, India.

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1 TR001881
6 · The paper itself

Abstract

The Indian health infrastructure is struggling to handle the burgeoning number of people with diabetes. Managing the complications of diabetes in an organized manner through the government health programs is still a distant reality. Here, we describe a program aimed at addressing the problem of diabetic retinopathy in rural areas of Tumkur district in Karnataka. By amalgamating telescreening and our own novel distributive care model, we were able to screen 85% of the registered diabetics in the Government noncommunicable disease clinics and treat 95% of those needing laser therapy. We also describe the importance of using electronic medical records in public health programs which not only increase the efficiency in screening for disease but help in increasing uptake of treatment by tracking defaulters.

Indexed as

Rural PopulationDiabetic RetinopathyDisease ManagementFemaleHumansIncidenceIndiaMaleMass ScreeningDiabetic retinopathymobile eye treatment unittelescreening

Identifiers

PMID31937736
PMCPMC7001181

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.