ArticleThe British journal of ophthalmology2018
Geographic atrophy phenotype identification by cluster analysis.
Article in The British journal of ophthalmology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The trial behind it
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Who cites it
8 citing papers in PubMed, 16 citations in OpenAlex.
- Systematic Analysis of Plasma-Derived Extracellular Vesicle-Enriched Samples in Age-Related Macular Degeneration Reveals Oxidative Stress Linked to Altered Lipid and Protein Profiles.Journal of extracellular biology · 2026Article
- Perilesional Fundus Autofluorescence Patterns Are Not Static: Longitudinal Transitions in Geographic Atrophy and Association with Disease Progression.Ophthalmology science · 2026Article
- Two potentially distinct pathways to geographic atrophy in age-related macular degeneration characterized by quantitative fundus autofluorescence.Eye (London, England) · 2023Article
- Perspectives from clinical trials: is geographic atrophy one disease?Eye (London, England) · 2023Review
- Evolving Patterns of Hyperfluorescent Fundus Autofluorescence Accompany Retinal Atrophy in the Rat and Mimic Atrophic Age-Related Macular Degeneration.Translational vision science & technology · 2022Article
- Subretinal Drusenoid Deposits and Lower Serum High-Density Lipoprotein Cholesterol Levels Possess Latent Relation to Cardiovascular Disease and Can Be a Feasible Predictor.Computational and mathematical methods in medicine · 2022Article
- Focal retinal pigment epithelium atrophy at the location of type 3 neovascularization lesion: a morphologic feature associated with low reactivation rate and favorable prognosis.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2019Observational
- Retinal vascular flow and choroidal thickness in eyes with early age-related macular degeneration with reticular pseudodrusen.BMC ophthalmology · 2018Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
aimsTo identify ocular phenotypes in patients with geographic atrophy secondary to age-related macular degeneration (GA) using a data-driven cluster analysis.
methodsThis was a retrospective analysis of data from a prospective, natural history study of patients with GA who were followed for ≥6 months. Cluster analysis was used to identify subgroups within the population based on the presence of several phenotypic features: soft drusen, reticular pseudodrusen (RPD), primary foveal atrophy, increased fundus autofluorescence (FAF), greyish FAF appearance and subfoveal choroidal thickness (SFCT). A comparison of features between the subgroups was conducted, and a qualitative description of the new phenotypes was proposed. The atrophy growth rate between phenotypes was then compared.
resultsData were analysed from 77 eyes of 77 patients with GA. Cluster analysis identified three groups: phenotype 1 was characterised by high soft drusen load, foveal atrophy and slow growth; phenotype 3 showed high RPD load, extrafoveal and greyish FAF appearance and thin SFCT; the characteristics of phenotype 2 were midway between phenotypes 1 and 3. Phenotypes differed in all measured features (p≤0.013), with decreases in the presence of soft drusen, foveal atrophy and SFCT seen from phenotypes 1 to 3 and corresponding increases in high RPD load, high FAF and greyish FAF appearance. Atrophy growth rate differed between phenotypes 1, 2 and 3 (0.63, 1.91 and 1.73 mm
conclusionCluster analysis identified three distinct phenotypes in GA. One of them showed a particularly slow growth pattern.
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Registered trials
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