Evidence map›Paper›PMID 31506486›Full record

ArticleScientific reports2019

Novel Method for Rapid Assessment of Cognitive Impairment Using High-Performance Eye-Tracking Technology.

Akane Oyama, Shuko Takeda, Yuki Ito, Tsuneo Nakajima, Yoichi Takami, Yasushi Takeya, Koichi Yamamoto, Ken Sugimoto, Hideo Shimizu, Munehisa Shimamura and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 3 pooled it
–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

74 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
  4. Trial
  5. Effects ofFrontiers in nutrition · 2026
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  20. Ocular changes as potential biomarkers for early diagnosis of Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review

14 more citing papers are in PubMed but not listed here.

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

13 authors.

Akane OyamaDepartment of Geriatric and General Medicine, Graduate School of Medicine, Osaka University, Suita, Osaka, 565-0871, Japan.
Shuko TakedaDepartment of Clinical Gene Therapy, Graduate School of Medicine, Osaka University, Suita, Osaka, 565-0871, Japan. takeda@cgt.med.osaka-u.ac.jp.
Yuki ItoDepartment of Clinical Gene Therapy, Graduate School of Medicine, Osaka University, Suita, Osaka, 565-0871, Japan.
Tsuneo NakajimaDepartment of Geriatric and General Medicine, Graduate School of Medicine, Osaka University, Suita, Osaka, 565-0871, Japan.
Yoichi TakamiDepartment of Geriatric and General Medicine, Graduate School of Medicine, Osaka University, Suita, Osaka, 565-0871, Japan.
Yasushi TakeyaDepartment of Geriatric and General Medicine, Graduate School of Medicine, Osaka University, Suita, Osaka, 565-0871, Japan.
Koichi YamamotoDepartment of Geriatric and General Medicine, Graduate School of Medicine, Osaka University, Suita, Osaka, 565-0871, Japan.
Ken SugimotoDepartment of Geriatric and General Medicine, Graduate School of Medicine, Osaka University, Suita, Osaka, 565-0871, Japan.ORCID http://orcid.org/0000-0001-6516-5998
Hideo ShimizuDepartment of Clinical Gene Therapy, Graduate School of Medicine, Osaka University, Suita, Osaka, 565-0871, Japan.
Munehisa ShimamuraDepartment of Neurology, Department of Health Development and Medicine, Osaka University, Suita, Osaka, 565-0871, Japan.
Taiichi KatayamaDepartment of Child Development, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, and University of Fukui, Suita, Osaka, 565-0871, Japan.
Hiromi RakugiDepartment of Geriatric and General Medicine, Graduate School of Medicine, Osaka University, Suita, Osaka, 565-0871, Japan.ORCID http://orcid.org/0000-0001-6508-4338
Ryuichi MorishitaDepartment of Clinical Gene Therapy, Graduate School of Medicine, Osaka University, Suita, Osaka, 565-0871, Japan. morishit@cgt.med.osaka-u.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A rapid increase in the number of patients with dementia has emerged as a global health challenge. Accumulating evidence suggests that early diagnosis and timely intervention can delay cognitive decline. The diagnosis of dementia is commonly performed using neuropsychological tests, such as the Mini-Mental State Examination (MMSE), administered by trained examiners. While these traditional neuropsychological tests are valid and reliable, they are neither simple nor sufficiently short as routine screening tools for dementia. Here, we developed a brief cognitive assessment utilizing an eye-tracking technology. The subject views a series of short (178 s) task movies and pictures displayed on a monitor while their gaze points are recorded by the eye-tracking device, and the cognitive scores are determined from the gaze plots data. The cognitive scores were measured by both an eye tracking-based assessment and neuropsychological tests in 80 participants, including 27 cognitively healthy controls (HC), 26 patients with mild cognitive impairment (MCI), and 27 patients with dementia. The eye tracking-based cognitive scores correlated well with the scores from the neuropsychological tests, and they showed a good diagnostic performance in detecting patients with MCI and dementia. Rapid cognitive assessment using eye-tracking technology can enable quantitative scoring and the sensitive detection of cognitive impairment.

Indexed as

Psychomotor PerformanceAgedCase-Control StudiesCognitive DysfunctionDementiaEarly DiagnosisEye MovementsFemaleHumansMaleMass Screening

Identifiers

PMID31506486
PMCPMC6736938

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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.