Evidence map›Paper›PMID 39644887›Full record

ArticleAging2024

Amyloid beta biomarker for dementia detection by hyperspectral ophthalmoscope images.

Yu-Bun Ng, Sheng-Feng Sung, Hong-Thai Nguyen, Shih-Wun Liang, Yu-Ming Tsao, Yi-Hui Kao, Wen-Shou Lin, Hsiang-Chen Wang

Abstract read
In one paragraph

Article in Aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Yu-Bun NgDepartment of Radiology, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi City 60002, Taiwan.
Sheng-Feng SungDepartment of Internal Medicine, Division of Neurology, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi City 60002, Taiwan.
Hong-Thai NguyenDepartment of Mechanical Engineering, National Chung Cheng University, Min Hsiung, Chia Yi 62102, Taiwan.
Shih-Wun LiangDepartment of Mechanical Engineering, National Chung Cheng University, Min Hsiung, Chia Yi 62102, Taiwan.
Yu-Ming TsaoDepartment of Mechanical Engineering, National Chung Cheng University, Min Hsiung, Chia Yi 62102, Taiwan.
Yi-Hui KaoDepartment of Medical Education and Research, National Taiwan University Hospital Yun-Lin Branch, Douliu 640, Taiwan.
Wen-Shou LinDepartment of Internal Medicine, Neurology Division, Kaohsiung Armed Forces General Hospital, Kaohsiung City 80284, Taiwan.
Hsiang-Chen WangDepartment of Mechanical Engineering, National Chung Cheng University, Min Hsiung, Chia Yi 62102, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The escalating prevalence and economic burden of dementia underscore the urgency for innovative detection methods. This study investigates the potential of hyperspectral imaging (HSI) to detect dementia by analyzing retinal changes associated with amyloid beta (Aβ) formations. Leveraging a dataset of 3,256 ophthalmoscopic images from 137 participants aged 60 to 85 years, categorized into dementia and non-dementia groups via the Mini-Mental State Examination (MMSE), we extracted features from five key regions of interest (ROIs) identified for their pronounced changes in Aβ biomarkers. The analysis revealed that gender does not significantly influence dementia levels, and no substantial spectral differences were observed within the 380 nm to 600 nm wavelength range. However, significant variations in spectral reflection intensity were noted between 600 nm and 780 nm across both genders, suggesting a potential avenue for distinguishing stages of dementia. Despite the impact of diabetes on the vascular system, its stages did not significantly influence dementia development. This research highlights the utility of HSI in identifying dementia-related retinal changes and calls for further exploration into its effectiveness as a diagnostic tool, potentially offering a non-invasive method for early detection of dementia.

Indexed as

Amyloid beta-PeptidesBiomarkersDementiaAgedAged, 80 and overFemaleHumansMaleMiddle AgedOphthalmoscopyRetinaAmyloid beta-PeptidesBiomarkersamyloid betadementia detectionhyperspectral imaging

Identifiers

PMID39644887
PMCPMC11723658

What OpenQuestion holds

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Registered trials

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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.