Evidence map›Paper›PMID 41808285›Full record

ArticleGeriatrics & gerontology international2026

Eye-Tracking-Based Cognitive Assessment Predicts the Risk of Memory Decline: A Community-Based Cohort Study.

Mizuki Katsuhisa, Shin Teshirogi, Sho Yamamoto, Akane Oyama, Yuki Ito, Yuya Ikegawa, Momoko Okawara, Tsuneo Nakajima, Yoshitaka Nakatani, Hiromi Bando and 4 more

Abstract read
In one paragraph

Article in Geriatrics & gerontology international, 2026. 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

14 authors.

Mizuki KatsuhisaOsaka Psychiatric Research Center, Osaka Psychiatric Medical Center, Hirakata, Osaka, Japan.ORCID https://orcid.org/0009-0001-2793-081X
Shin TeshirogiOsaka Psychiatric Research Center, Osaka Psychiatric Medical Center, Hirakata, Osaka, Japan.
Sho YamamotoOsaka Psychiatric Research Center, Osaka Psychiatric Medical Center, Hirakata, Osaka, Japan.
Akane OyamaOsaka Psychiatric Research Center, Osaka Psychiatric Medical Center, Hirakata, Osaka, Japan.
Yuki ItoOsaka Psychiatric Research Center, Osaka Psychiatric Medical Center, Hirakata, Osaka, Japan.
Yuya IkegawaOsaka Psychiatric Research Center, Osaka Psychiatric Medical Center, Hirakata, Osaka, Japan.
Momoko OkawaraOsaka Psychiatric Research Center, Osaka Psychiatric Medical Center, Hirakata, Osaka, Japan.
Tsuneo NakajimaOsaka Psychiatric Research Center, Osaka Psychiatric Medical Center, Hirakata, Osaka, Japan.
Yoshitaka NakataniOsaka Psychiatric Research Center, Osaka Psychiatric Medical Center, Hirakata, Osaka, Japan.
Hiromi BandoOsaka Psychiatric Research Center, Osaka Psychiatric Medical Center, Hirakata, Osaka, Japan.
Sayaka TanakaOsaka Psychiatric Research Center, Osaka Psychiatric Medical Center, Hirakata, Osaka, Japan.
Mamoru HashimotoOsaka Psychiatric Research Center, Osaka Psychiatric Medical Center, Hirakata, Osaka, Japan.
Kazuhiko IwataOsaka Psychiatric Research Center, Osaka Psychiatric Medical Center, Hirakata, Osaka, Japan.
Shuko TakedaOsaka Psychiatric Research Center, Osaka Psychiatric Medical Center, Hirakata, Osaka, Japan.ORCID https://orcid.org/0000-0002-5258-1981

Funding

Japan Society for the Promotion of Science 22K15701Japan Society for the Promotion of Science 22K19500Japan Society for the Promotion of Science 25K19008Japan Society for the Promotion of Science 25K24185The Osaka Medical Research Foundation for Intractable Diseases 23-2-1
6 · The paper itself

Abstract

aimIdentifying high-risk individuals for future cognitive decline is key for timely and efficient interventions against dementia. Although imaging and biofluid biomarkers have been developed to detect neuropathological changes and predict future disease progression, their high costs and low accessibility limit their widespread use. We previously developed an eye-tracking-based cognitive assessment (ETCA) as a novel screening tool for dementia and demonstrated its utility in detecting mild cognitive decline with high accuracy. This study aimed to investigate the ETCA's performance in predicting future cognitive decline in a community-based longitudinal study.

methodsCommunity-dwelling older adults (n = 55, mean age: 57.8 (SD, 12.6) years) without a formal diagnosis of dementia were enrolled and underwent the ETCA and neuropsychological tests, including the Mini-Mental State Examination (MMSE), Addenbrooke's Cognitive Examination-III (ACE-III), and Rivermead Behavioral Memory Test (RBMT), both at baseline and at a 2-year follow-up point.

resultsApproximately half (54.5%, 35/55) of participants showed a decline in RBMT scores during the 2-year follow-up and were defined as the memory decline group. The baseline ETCA scores were significantly lower in the memory decline group than in the memory stable group. The baseline ETCA composite subscores achieved an AUC-ROC of 0.709 in detecting future memory decline.

conclusionsThe ETCA offers a rapid, objective, and low-burden approach for screening for the risk of future cognitive decline, which could make a substantial contribution to the prevention of dementia.

Indexed as

Cognitive DysfunctionEye-Tracking TechnologyMemory DisordersAgedDementiaDisease ProgressionFemaleHumansIndependent LivingLongitudinal StudiesMaleMental Status and Dementia TestsMiddle AgedNeuropsychological TestsPredictive Value of TestsRisk Assessmentdementiaeye‐trackingmild cognitive impairmentpredictionprognosis

Identifiers

PMID41808285
PMCPMC12976182

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LicenceCC BY-NC-ND
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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.