ArticleAlzheimer's research & therapy2024
Retinal thickness predicts the risk of cognitive decline over five years.
Article in Alzheimer's research & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Cognitive Physiology in Healthy Young Adults: Links to Ciliary Neurotrophic Factor and Retinal Biomarkers.Diagnostics (Basel, Switzerland) · 2026Article
- Multimodal Retinal Imaging for the Detection of Early Alzheimer's Disease: Combining Biochemical, Structural, and Vascular Biomarkers.Bioengineering (Basel, Switzerland) · 2026Article
- The Visual System in Alzheimer's Disease: A Multilevel Review of Pathology, Monitoring, and Intervention.Vision (Basel, Switzerland) · 2026Review
- Complement in brain and eye disease: shared mechanisms, convergent pathologies, and common therapeutic opportunities.Mammalian genome : official journal of the International Mammalian Genome Society · 2026Review
- Combining OCT and OCT angiography improves differentiation of mild cognitive impairment and Alzheimer's disease.Alzheimer's research & therapy · 2026Article
- Optical coherence tomography artefact burden predicts cognitive decline and incident dementia.Frontiers in aging neuroscience · 2026Article
- Analysis of factors influencing retinal thickness in chronic obstructive pulmonary disease and hypertension: a cross-sectional study in a community-dwelling middle-aged and elderly population.Frontiers in medicine · 2026Article
- Retinal Nerve Fiber Layer Thickness in Children: The Ural Children Eye Study.Investigative ophthalmology & visual science · 2025Article
- Self-AttentionNeXt: Exploring schizophrenic optical coherence tomography image detection investigations.World journal of psychiatry · 2025Article
- Recent Optical Coherence Tomography (OCT) Innovations for Increased Accessibility and Remote Surveillance.Bioengineering (Basel, Switzerland) · 2025Review
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Authors and funding
12 authors.
Funding
Abstract
backgroundDementia poses a significant burden on healthcare systems. Early identification of individuals at risk for cognitive decline is crucial. The retina, an extension of the central nervous system, reflects neurodegenerative changes. Optical coherence tomography (OCT) is a non-invasive tool for assessing retinal health and has shown promise in predicting cognitive decline. However, prior studies produced mixed results.
methodsThis study investigated a large cohort (n = 490) of Asian individuals attending memory clinics. Participants underwent comprehensive neuropsychological testing annually for five years. Retinal thickness was measured by OCT at baseline. We assessed the association between baseline retinal thickness and subsequent cognitive decline.
resultsParticipants with a significantly thinner macular ganglion cell-inner plexiform layer (GCIPL) at baseline (≤ 79 μm) had a 38% greater risk of cognitive decline compared to those who did not (≥ 88 μm; p = 0.037). In a multivariable model accounting for age, education, cerebrovascular disease status, hypertension, hyperlipidemia, diabetes and smoking, thinner GCIPL was associated with an increased risk of cognitive decline (hazard ratio = 1.14, 95% CI = 1.01-1.30, p = 0.035). Retinal nerve fiber layer (RNFL) thickness was not associated with cognitive decline.
conclusionsThis study suggests that OCT-derived macular GCIPL thickness may be a valuable biomarker for identifying individuals at risk of cognitive decline. Our findings highlight GCIPL as a potentially more sensitive marker compared to RNFL thickness for detecting early neurodegenerative changes. TRIAL REGISTRATION NUMBER AND NAME OF THE TRIAL REGISTRY: National Healthcare Group Domain-Specific Review Board (NHG DSRB) reference numbers DSRB Ref: 2018/01368. Name of the trial: Harmonisation project.
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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 Socratic graph.