Evidence map›Paper›PMID 36329166›Full record

ArticleEye (London, England)2023

UK Biobank retinal imaging grading: methodology, baseline characteristics and findings for common ocular diseases.

Alasdair N Warwick, Katie Curran, Barbra Hamill, Kelsey Stuart, Anthony P Khawaja, Paul J Foster, Andrew J Lotery, Michael Quinn, Savita Madhusudhan, Konstantinos Balaskas and 2 more

Erratum issuedAbstract read
In one paragraph

Article in Eye (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Cohort Profile: The North East London Diabetes Study (NELDS).International journal of epidemiology · 2026
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  11. Associations of Metabolically Healthy Obesity and Retinal Age Gap.Translational vision science & technology · 2024
    Article
  12. RBAD: A Dataset and Benchmark for Retinal Vessels Branching Angle Detection.... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Reply.Ophthalmology science
    Article
  18. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Alasdair N Warwick *Institute of Cardiovascular Science, University College London, London, UK.
Katie Curran *Centre for Public Health, Queen's University Belfast, Faculty of Medicine Health and Life Sciences, Belfast, UK.
Barbra HamillCentre for Public Health, Queen's University Belfast, Faculty of Medicine Health and Life Sciences, Belfast, UK.
Kelsey StuartInstitute of Ophthalmology, University College London, London, UK.ORCID 0000-0001-7353-8774
Anthony P KhawajaInstitute of Ophthalmology, University College London, London, UK.ORCID 0000-0001-6802-8585
Paul J FosterInstitute of Ophthalmology, University College London, London, UK.ORCID 0000-0002-4755-177X
Andrew J LoteryFaculty of Medicine, Clinical and Experimental Sciences, University of Southampton, Southampton, UK.ORCID 0000-0001-5541-4305
Michael QuinnCentre for Public Health, Queen's University Belfast, Faculty of Medicine Health and Life Sciences, Belfast, UK.
Savita MadhusudhanSt. Paul's Eye Unit, Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK.
Konstantinos BalaskasMedical Retina Service, Moorfields Eye Hospital NHS Foundation Trust, London, UK.
Tunde PetoCentre for Public Health, Queen's University Belfast, Faculty of Medicine Health and Life Sciences, Belfast, UK. t.peto@qub.ac.uk.ORCID 0000-0001-6265-0381
UKBB Eye and Vision Consortium

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/T019050/1Medical Research Council MR/T040912/1Wellcome Trust 220558
6 · The paper itself

Abstract

BACKGROUND/

objectivesThis study aims to describe the grading methods and baseline characteristics for UK Biobank (UKBB) participants who underwent retinal imaging in 2009-2010, and to characterise individuals with retinal features suggestive of age-related macular degeneration (AMD), glaucoma and retinopathy.

methodsNon-mydriatic colour fundus photographs and macular optical coherence tomography (OCT) scans were manually graded by Central Administrative Research Facility certified graders and quality assured by clinicians of the Network of Ophthalmic Reading Centres UK. Captured retinal features included those associated with AMD (≥1 drusen, pigmentary changes, geographic atrophy or exudative AMD; either imaging modality), glaucoma (≥0.7 cup-disc ratio, ≥0.2 cup-disc ratio difference between eyes, other abnormal disc features; photographs only) and retinopathy (characteristic features of diabetic retinopathy with or without microaneurysms; either imaging modality). Suspected cases of these conditions were characterised with reference to diagnostic records, physical and biochemical measurements.

resultsAmong 68,514 UKBB participants who underwent retinal imaging, the mean age was 57.3 years (standard deviation 8.2), 45.7% were men and 90.6% were of White ethnicity. A total of 64,367 participants had gradable colour fundus photographs and 68,281 had gradable OCT scans in at least one eye. Retinal features suggestive of AMD and glaucoma were identified in 15,176 and 2184 participants, of whom 125 (0.8%) and 188 (8.6%), respectively, had a recorded diagnosis. Of 264 participants identified to have retinopathy with microaneurysms, 251 (95.1%) had either diabetes or hypertension.

conclusionsThis dataset represents a valuable addition to what is currently available in UKBB, providing important insights to both ocular and systemic health.

Indexed as

GlaucomaMacular DegenerationMicroaneurysmRetinal DrusenBiological Specimen BanksFemaleHumansMaleMiddle AgedTomography, Optical CoherenceUnited Kingdom

Identifiers

PMID36329166
PMCPMC10333328

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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.