Evidence map›Paper›PMID 39951718›Full record

ArticleJournal of medical Internet research2025

A New Computer-Based Cognitive Measure for Early Detection of Dementia Risk (Japan Cognitive Function Test): Validation Study.

Hiroyuki Shimada, Takehiko Doi, Kota Tsutsumimoto, Keitaro Makino, Kenji Harada, Kouki Tomida, Masanori Morikawa, Hyuma Makizako

Abstract readValidation Study
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Impact of national cognitive screening on dementia care and hospitalization in South Korea.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  3. Article
  4. 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

8 authors.

Hiroyuki ShimadaDepartment of Preventive Gerontology, Centre for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Ōbu, Japan.ORCID 0000-0001-8111-6440
Takehiko DoiDepartment of Preventive Gerontology, Centre for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Ōbu, Japan.ORCID 0000-0003-0205-8663
Kota TsutsumimotoDepartment of Preventive Gerontology, Centre for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Ōbu, Japan.ORCID 0000-0001-5762-5552
Keitaro MakinoDepartment of Preventive Gerontology, Centre for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Ōbu, Japan.ORCID 0000-0001-9252-8256
Kenji HaradaDepartment of Preventive Gerontology, Centre for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Ōbu, Japan.ORCID 0000-0002-6655-5856
Kouki TomidaDepartment of Preventive Gerontology, Centre for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Ōbu, Japan.ORCID 0000-0002-7397-8224
Masanori MorikawaDepartment of Preventive Gerontology, Centre for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Ōbu, Japan.ORCID 0000-0001-5762-5552
Hyuma MakizakoDepartment of Preventive Gerontology, Centre for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Ōbu, Japan.ORCID 0000-0001-9898-675X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe emergence of disease-modifying treatment options for Alzheimer disease is creating a paradigm shift in strategies to identify patients with mild symptoms in primary care settings. Systematic reviews on digital cognitive tests reported that most showed diagnostic performance comparable with that of paper-and-pencil tests for mild cognitive impairment and dementia. However, most studies have small sample sizes, with fewer than 100 individuals, and are based on case-control or cross-sectional designs.

objectiveThis study aimed to examine the predictive validity of the Japanese Cognitive Function Test (J-Cog), a new computerized cognitive battery test, for dementia development.

methodsWe randomly assigned 2520 older adults (average age 72.7, SD 6.7 years) to derivation and validation groups to determine and validate cutoff points for the onset of dementia. The Mini-Mental State Examination (MMSE) was used for comparison purposes. The J-Cog consists of 12 tasks that assess orientation, designation, attention and calculation, mental rotation, verbal fluency, sentence completion, working memory, logical reasoning, attention, common knowledge, word memory recall, and episodic memory recall. The onset of dementia was monitored for 60 months. In the derivation group, receiver operating characteristic curves were plotted to determine the MMSE and J-Cog cutoff points that best discriminated between the groups with and without dementia. In the validation group, Cox proportional regression models were developed to predict the associations of the group classified using the cutoff points of the J-Cog or MMSE with dementia incidence. Harrell C-statistic was estimated to summarize how well a predicted risk score described an observed sequence of events. The Akaike information criterion was calculated for relative goodness of fit, where lower absolute values indicate a better model fit.

resultsSignificant hazard ratios (HRs) for dementia incidence were found using the MMSE cutoff between 23 and 24 point (HR 1.93, 95% CI 1.13-3.27) and the J-Cog cutoff between 43 and 44 points (HR 2.42, 95% CI 1.50-3.93). In the total validation group, the C-statistic was above 0.8 for all cutoff points. Akaike information criterion with MMSE cutoff between 23 and 24 points as a reference showed a poor fit for MMSE cutoff between 28 and 29 points, and a good fit for the J-Cog cutoff between 43 and 44 points.

conclusionsThe J-Cog has higher accuracy in predicting the development of dementia than the MMSE and has advantages for use in the community as a test of cognitive function, which can be administered by nonprofessionals.

Indexed as

CognitionDementiaDiagnosis, Computer-AssistedNeuropsychological TestsAgedAged, 80 and overEarly DiagnosisFemaleHumansJapanMaleagedAlzheimer diseasecognitioncognitive impairmentdementiaeHealthMini-Mental State ExaminationMMSEmonitoringneurocognitive test

Identifiers

PMID39951718
PMCPMC11888094

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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.