Comparison of the additive value of blood-based and retinal biomarkers to clinical features in predicting cognitive decline

A multimodal model comprising blood, retinal and clinical variables may represent an accessible, non-invasive tool for predicting cognitive decline.

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Publication Details

Journal
Communications Medicine
Published
2025-11-15
DOI
https://doi.org/10.1038/s43856-025-01237-3
Citations
1
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
1.47

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Comparison of the additive value of blood-based and retinal biomarkers to clinical features in predicting cognitive decline

Narayanaswamy Venketasubramanian, Leopold Schmetterer, Christopher Chen, Mark Richards et al.
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Communications Medicine
Dementia and Cognitive Impairment Research
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article

Comparison of the additive value of blood-based and retinal biomarkers to clinical features in predicting cognitive decline

Narayanaswamy Venketasubramanian, Leopold Schmetterer, Christopher Chen, Mark Richards, Victor Yuan, Eugene S.J. Tan, Oi Wah Liew, Joyce Ruifen Chong, Saima Hilal, Lieng Hsi Ling, Yuek Ling Chai, Ming Ann Sim, Hyungwon Choi, Mitchell K.P. Lai, Yih Chung Tham, Jessica Yan Xia Ng, Liuyun Wu, Siew Pang Chan, Jacqueline Chua, Boon Yeow Tan, Jenny Pek Ching Chong
article en
1 citations

Abstract

A multimodal model comprising blood, retinal and clinical variables may represent an accessible, non-invasive tool for predicting cognitive decline.

Communications MedicineVol. 5(1)
National University of Singapore (SG), Chinese University of Hong Kong (HK), Singapore National Eye Center (SG), Raffles Institution (SG), Ng Teng Fong General Hospital (SG), National University Heart Centre Singapore (SG), Duke-NUS Medical School (SG), National University Hospital (SG), National University Health System (SG), St Luke's Hospital (SG), University of Otago (NZ)
National University of Singapore, National University Health System, Medical Research Council, National Medical Research Council
Openalex Percentile: Top 14%
Dementia and Cognitive Impairment Research
1.47
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