Evidence map›Paper›PMID 41530615›Full record

ReviewOphthalmology and therapy2026

Tele-Ophthalmology for Retinal Health Surveillance in Denmark.

Marie L R Rasmussen, Danson V Muttuvelu, Lasse J Cehofski, Jakob Grauslund, Josef Huemer, Pearse A Keane, Tor P Utheim, Tunde Peto, Goran Petrovski, Charles C Wykoff and 1 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Ophthalmology and therapy, 2026. 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
–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

0 citing papers in PubMed.

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

11 authors.

Marie L R RasmussenDepartment of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
Danson V MuttuveluDepartment of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
Lasse J CehofskiDepartment of Ophthalmology, Aalborg University Hospital, Aalborg, Denmark.
Jakob GrauslundDepartment of Regional Health Research, University of Southern Denmark, Odense, Denmark.
Josef HuemerNIHR Biomedical Research Centre at Moorfields, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK.
Pearse A KeaneNIHR Biomedical Research Centre at Moorfields, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK.
Tor P UtheimDepartment of Ophthalmology, Oslo University Hospital, Oslo, Norway.
Tunde PetoCentre for Public Health, Queen's University Belfast, Belfast, UK.
Goran PetrovskiDepartment of Ophthalmology, Oslo University Hospital, Oslo, Norway.
Charles C WykoffRetina Consultants of Texas, Houston, TX, USA.
Yousif SubhiDepartment of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark. ysubhi@gmail.com.ORCID http://orcid.org/0000-0001-6620-5365

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this commentary paper, we discuss the potential of population health surveillance of retinal health in Denmark using optometrist-based opportunist retinal examination with tele-ophthalmology pathway. Using 12 months of data from 79 high-street optometrist stores, we imaged 355,818 unique individuals, which corresponds to 5.99% of the entire population of Denmark and equates to an average of 29,652 individuals each month, corresponding to 0.50% of the population. Coverage was highest among those aged 41-80 years, with coverage rates of between 8.17% and 8.68%. We also observed higher participation rates in female individuals (6.77%) than in male individuals (5.19%). Using Wilson score intervals with finite-population correction, we demonstrate that when such a large sample of the entire population is examined, prevalence estimates can be obtained with very narrow 95% confidence intervals. These results suggest that community imaging can provide stable, near real-time indicators of retinal disease at the population level. Selection bias is discussed to understand the limitations of data.

Indexed as

Health surveillancePopulation healthRetinal diseasesTele-ophthalmology

Identifiers

PMID41530615
PMCPMC12901773

What OpenQuestion holds

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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.