Evidence map›Paper›PMID 40379804›Full record

ReviewGraefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie2025

How early can we detect diabetic retinopathy? A narrative review of imaging tools for structural assessment of the retina.

Megan Vaughan, Philip Denmead, Nicole Tay, Ranjan Rajendram, Michel Michaelides, Emily Patterson

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Megan VaughanUCL Institute of Ophthalmology, University College London, London, UK. M.H.Vaughan@ucl.ac.uk.ORCID http://orcid.org/0000-0001-7160-2170
Philip DenmeadUCL Institute of Ophthalmology, University College London, London, UK.
Nicole TayUCL Institute of Ophthalmology, University College London, London, UK.
Ranjan RajendramUCL Institute of Ophthalmology, University College London, London, UK.
Michel MichaelidesUCL Institute of Ophthalmology, University College London, London, UK.
Emily PattersonUCL Institute of Ophthalmology, University College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite current screening models, enhanced imaging modalities, and treatment regimens, diabetic retinopathy (DR) remains one of the leading causes of vision loss in working age adults. DR can result in irreversible structural and functional retinal damage, leading to visual impairment and reduced quality of life. Given potentially irreversible photoreceptor damage, diagnosis and treatment at the earliest stages will provide the best opportunity to avoid visual disturbances or retinopathy progression. We will review herein the current structural imaging methods used for DR assessment and their capability of detecting DR in the first stages of disease. Imaging tools, such as fundus photography, optical coherence tomography, fundus fluorescein angiography, optical coherence tomography angiography and adaptive optics-assisted imaging will be reviewed. Finally, we describe the future of DR screening programmes and the introduction of artificial intelligence as an innovative approach to detecting subtle changes in the diabetic retina. CLINICAL TRIAL REGISTRATION NUMBER: N/A.

Indexed as

Diabetic RetinopathyDiagnostic Techniques, OphthalmologicalFluorescein AngiographyRetinaTomography, Optical CoherenceEarly DiagnosisHumansDetectionDiabetesDiabetic retinopathyFundus photographyImagingOptical coherence tomography

Identifiers

PMID40379804
PMCPMC12513903

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.