Evidence map›Paper›PMID 33476855›Full record

Trial reportOphthalmology. Retina2021

Detection of Posterior Segment Eye Disease in Rural Eye Camps in South India: A Nonrandomized Cluster Trial.

Emily M Schehlein, Dayakar Yadalla, David Hutton, Joshua D Stein, Rengaraj Venkatesh, Joshua R Ehrlich

Open access · greenAbstract readClinical TrialComparative StudyMulticenter Study
In one paragraph

Trial report in Ophthalmology. Retina, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 56% of its field
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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 2 institutions in 2 countries.

Emily M SchehleinDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan.
Dayakar YadallaAravind Eye Care System, Pondicherry, India.
David HuttonDepartment of Health Policy and Management, School of Public Health, University of Michigan, Ann Arbor, Michigan.
Joshua D SteinDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan.
Rengaraj VenkateshAravind Eye Care System, Pondicherry, India. Electronic address: venkatesh@aravind.org.
Joshua R EhrlichDepartment of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan.
University of Michigan · USAravind Eye Hospital · IN

Funding

Personalized Forecasting of Disease Trajectory for Patients with Open Angle GlaucomaR01EY026641 · NEI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LAVIERI-WILLIAMS, MARIEL SOFIA, STEIN, JOSHUA D · 2016 to 2020
$2.9M
Health Evaluation and Access to Leverage Technology for Improved DR Outcomes (HEAL-DR)R01EY036341 · NEI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI DUSTIN D. FRENCH, Joshua D Stein · 2024 to 2026
$2.1M
NEI NIH HHS R01 EY026641NEI NIH HHS R01 EY036341
6 · The paper itself

Abstract

purposeRural screening camps in India historically have focused on detection of cataract and uncorrected refractive error. This study aimed to increase detection, referral, and follow-up for posterior segment diseases (PSDs) in rural eye camps using a novel technology-driven eye camp model.

designA clustered nonrandomized trial in the catchment area of Aravind Eye Care System (AECS) Pondicherry, to compare 2 eye camp models: the traditional AECS eye camp model and the novel, technology-driven, eye camp model.

participantsPatients 40 to 75 years of age who attended free camps conducted by AECS Pondicherry. Those with corneal pathologic features were excluded because this precluded an adequate view of the posterior segment to screen for PSD.

methodsThe clinical protocols in the 2 arms were standardized and the same study team was used in both study arms. The unit of allocation to the 2 study arms was at the level of the eye camp, rather than the level of the individual study participant.

main outcome measuresThe primary study outcome was detection of suspected PSD (glaucoma, diabetic retinopathy, age-related macular degeneration, other PSDs). Secondary outcomes included: (1) the proportion of referred participants who underwent an examination at the base hospital and (2) the proportion with confirmed PSD on examination at the base hospital.

resultsThe study included 11 traditional and 18 novel eye camps with a total of 3048 participants (50% in each study arm). The mean age of all participants was 58.4 ± 9.1 years and 1434 participants (47%) were men. The proportion receiving a referral for PSD was significantly greater in the novel (8.3%) compared with the traditional (3.6%) eye camp (P < 0.001; risk ratio, 2.31; 95% confidence interval, 2.30-2.34). Among the 183 participants referred from the camps for PSD, 73 (39.9%) followed up for further evaluation at the base hospital.

conclusionsIn a resource-constrained setting, use of digital fundus photography in novel eye camps resulted in increased detection of and referral for PSD. Further research is needed to determine whether this intervention is cost effective and may contribute to prevention of avoidable blindness and visual impairment in South India. Further research also is needed to improve follow-up of patients referred from camps for suspicion of PSD.

Indexed as

Diagnostic Techniques, OphthalmologicalRural PopulationAdultAgedEye DiseasesFemaleHumansIncidenceIndiaMaleMiddle AgedPosterior Eye SegmentRetrospective StudiesDisease detectionFundus photographyPosterior segment diseaseScreening

Identifiers

PMID33476855
PMCPMC9744216
OpenAlexW3124712598

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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.