Observational studyScientific reports2020
Analysis of retinal sublayer thicknesses and rates of change in ABCA4-associated Stargardt disease.
Observational study in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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Who cites it
14 citing papers in PubMed, 24 citations in OpenAlex.
- Characterization of the Subclinical Perilesional Zone in the Macula of Early-Stage ABCA4 Disease.Translational vision science & technology · 2025Article
- Photoreceptor Disease at Ambiguous Transition Zones in Inherited Retinal Degenerations.Translational vision science & technology · 2025Article
- Progression of Atrophy as a Function of ABCA4 Variants and Age of Onset in Stargardt Disease.Investigative ophthalmology & visual science · 2025Article
- Retinal Thickness Analysis Using Optical Coherence Tomography: Diagnostic and Monitoring Applications in Retinal Diseases.Diagnostics (Basel, Switzerland) · 2025Review
- Dicer Loss in Müller Glia Leads to a Defined Sequence of Pathological Events Beginning With Cone Dysfunction.Investigative ophthalmology & visual science · 2025Article
- The central retinal thickness and its related genotype in ABCA4-related retinopathy.Eye (London, England) · 2024Article
- A Retrospective Longitudinal Study of 460 Patients with ABCA4-Associated Retinal Disease.Ophthalmology · 2024Article
- Multimodal in-vivo maps as a tool to characterize retinal structural biomarkers for progression in adult-onset Stargardt disease.Frontiers in ophthalmology · 2024Article
- Modeling rod and cone photoreceptor cell survival in vivo using optical coherence tomography.Scientific reports · 2023Article
- Investigation of Structural Alterations in Inherited Retinal Diseases: A Quantitative SD-OCT-Analysis of Retinal Layer Thicknesses in Light of Underlying Genetic Mutations.International journal of molecular sciences · 2022Article
- Photoreceptor degeneration in ABCA4-associated retinopathy and its genetic correlates.JCI insight · 2022Observational
- Vitamin A cycle byproducts explain retinal damage and molecular changes thought to initiate retinal degeneration.Biology open · 2021Article
- Stargardt disease: Multimodal imaging: A review.Clinical & experimental ophthalmology · 2021Review
- Tissue block staining and domestic adhesive tape yield qualified integral sections of adult mouse orbits and eyeballs.PloS one · 2021Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Stargardt disease, the most common inherited macular dystrophy, is characterized by vision loss due to central retinal atrophy. Although clinical trials for Stargardt are currently underway, the disease is typically slowly progressive, and objective, imaging-based biomarkers are critically needed. In this retrospective, observational study, we characterize the thicknesses of individual retinal sublayers by macular optical coherence tomography (OCT) in a large cohort of patients with molecularly-confirmed, ABCA4-associated Stargardt disease (STGD1) relative to normal controls. Automated segmentation of retinal sublayers was performed with manual correction as needed, and thicknesses in various macular regions were compared using mixed effects models. Relative to controls (42 eyes, 40 patients), STGD1 patients (107 eyes, 63 patients) had slight thickening of the nerve fiber layer and retinal pigment epithelium-Bruch's membrane, with thinning in other sublayers, especially the outer nuclear layer (ONL) (p < 0.0015). When comparing the rate of retinal sublayer thickness change over time (mean follow-up 3.9 years for STGD1, 2.5 years for controls), STGD1 retinas thinned faster than controls in the outer retina (ONL to photoreceptor outer segments). OCT-based retinal sublayer thickness measurements are feasible in STGD1 patients and may provide objective measures of disease progression or treatment response.
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Registered trials
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.