Evidence map›Paper›PMID 39868381›Full record

ArticleFrontiers in aging neuroscience2024

Retinal biomarkers for the risk of Alzheimer's disease and frontotemporal dementia.

Ruihan Wang, Jiajie Cai, Yuzhu Gao, Yingying Tang, Hui Gao, Linyuan Qin, Hanlin Cai, Feng Yang, Yimeng Ren, Caimei Luo and 7 more

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Ruihan Wang *Department of Neurology, West China Hospital of Sichuan University, Chengdu, China.
Jiajie Cai *Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Yuzhu GaoDepartment of Ophthalmology, West China Hospital of Sichuan University, Chengdu, China.
Yingying TangDepartment of Neurology, West China Hospital of Sichuan University, Chengdu, China.
Hui GaoDepartment of Neurology, West China Hospital of Sichuan University, Chengdu, China.
Linyuan QinDepartment of Neurology, West China Hospital of Sichuan University, Chengdu, China.
Hanlin CaiDepartment of Neurology, West China Hospital of Sichuan University, Chengdu, China.
Feng YangDepartment of Neurology, West China Hospital of Sichuan University, Chengdu, China.
Yimeng RenDepartment of Neurology, West China Hospital of Sichuan University, Chengdu, China.
Caimei LuoDepartment of Neurology, West China Hospital of Sichuan University, Chengdu, China.
Shiyu FengDepartment of Neurology, West China Hospital of Sichuan University, Chengdu, China.
Hongbo YinDepartment of Ophthalmology, West China Hospital of Sichuan University, Chengdu, China.
Ming ZhangDepartment of Ophthalmology, West China Hospital of Sichuan University, Chengdu, China.
Chunyan LuoDepartment of Radiology, West China Hospital of Sichuan University, Chengdu, China.
Qiyong GongDepartment of Radiology, West China Hospital of Sichuan University, Chengdu, China.
Xiong XiaoDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Qin ChenDepartment of Neurology, West China Hospital of Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Differentiating between Alzheimer's disease (AD) and frontotemporal dementia (FTD) can be challenging due to overlapping cognitive and behavioral manifestations. Evidence regarding non-invasive and early-stage biomarkers remains limited. Our aim was to identify retinal biomarkers for the risk of AD and FTD in populations without dementia and explore underlying brain structural mechanisms. Methods: We included a total of 3,0573 UK Biobank participants without dementia, ocular disorders, and diabetes who underwent baseline retinal optical coherence tomography (OCT) imaging. Cox proportional hazards models were used to estimate the associations between macular OCT parameters and the risk of AD and FTD. Mediation analysis was used to explore the underlying mechanisms affected by brain structures. Results: The mean age at recruitment was 55.27, and 46.10% of the participants were male. During a mean follow-up of 9.15 ± 2.59 years, 148 patients with AD and eight patients with FTD were identified. Reduced thickness of the ganglion cell-inner plexiform layer (GC-IPL) at baseline was associated with an increased risk of AD (HR, 1.033; 95% CI, 1.001-1.066; Conclusion: Our findings provide preliminary empirical support for a relationship between prodromal changes in retinal layers and a higher risk of AD or FTD, suggesting that macular OCT may serve as a non-invasive, sensitive biomarker of high-risk years before the onset of dementia.

Indexed as

Alzheimer’s diseasebiomarkersfrontotemporal dementiaoptical coherence tomographyretina

Identifiers

PMID39868381
PMCPMC11759267

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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.