Evidence map›Paper›PMID 35187789›Full record

ArticleGeriatrics & gerontology international2022

Simple screening models for cognitive impairment in community settings: The IRIDE Cohort Study.

Takumi Abe, Akihiko Kitamura, Mari Yamashita, Hunkyung Kim, Shuichi P Obuchi, Tatsuro Ishizaki, Yoshinori Fujiwara, Shuichi Awata, Kenji Toba, IRIDE Cohort Study investigators

Open access · hybridAbstract read
In one paragraph

Article in Geriatrics & gerontology international, 2022. 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
1.8field-weighted citation impact, top 16% of its field
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, 12 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Takumi AbeIntegrated Research Initiative for Living Well with Dementia, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.ORCID https://orcid.org/0000-0002-7925-3136
Akihiko KitamuraResearch Team for Social Participation and Community Health, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.ORCID https://orcid.org/0000-0003-3026-240X
Mari YamashitaIntegrated Research Initiative for Living Well with Dementia, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.
Hunkyung KimResearch Team for Promoting Independence and Mental Health, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.ORCID https://orcid.org/0000-0003-1614-5477
Shuichi P ObuchiHuman Care Research Team, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.
Tatsuro IshizakiHuman Care Research Team, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.ORCID https://orcid.org/0000-0002-1277-7293
Yoshinori FujiwaraIntegrated Research Initiative for Living Well with Dementia, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.
Shuichi AwataIntegrated Research Initiative for Living Well with Dementia, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.
Kenji TobaIntegrated Research Initiative for Living Well with Dementia, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.
IRIDE Cohort Study investigators
Tokyo Metropolitan Institute of Gerontology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimCommunity settings often need simple screening, rather than detailed tests, to identify cognitive impairment. This study aimed to develop models to screen older adults with cognitive impairment.

methodsThis study used data from the Integrated Research Initiative for Living Well with Dementia Cohort Study and included 5830 older adults. Individuals were considered cognitively impaired if their Mini-Mental State Examination score was less than 24. Three screening models were developed: the simple model (age, sex, and education), the base model comprising 13 candidate variables available in the questionnaire, and the enhanced model, where grip strength and gait speed were added to the base model. We performed binary logistic regression analysis with stepwise backward elimination (P < 0.1 for retention in the model) to develop each model. Then, we calculated integer scores from coefficients to develop score-based models. The area under the receiver operating characteristic curve (AUC) was used to evaluate discrimination.

resultsParticipants with cognitive impairment accounted for 4.0% (n = 233) of the total. The score-based simple model comprised three variables (AUC = 0.72, sensitivity: 72%, specificity: 61%). The score-based base model included nine variables (AUC = 0.76, sensitivity: 70%, specificity: 67%). The score-based enhanced model comprised eight variables, including grip strength and gait speed (AUC = 0.79, sensitivity: 73%, specificity: 70%).

conclusionsThis study developed three screening models with acceptable discriminant validity for cognitive impairment. These models comprised simple questionnaire-based items and common physical performance measurements. These models could enable screening of older adults suspected of cognitive impairment without the need to conduct cognitive tests in community settings. Geriatr Gerontol Int 2022; 22: 292-297.

Indexed as

Cognitive DysfunctionDementiaAgedCohort StudiesHumansMass ScreeningNeuropsychological Testsarea under the curvecognitive impairmentintegrated discrimination improvementnet reclassification improvementscreening test

Identifiers

PMID35187789
PMCPMC9306945
OpenAlexW4212772502

What OpenQuestion holds

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LicenceCC BY
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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.