Evidence map›Paper›PMID 38504559›Full record

Observational studyJournal of primary care & community health

Assessment of Mild Cognitive Impairment Using CogEvo: A Computerized Cognitive Function Assessment Tool.

Toru Satoh, Yoichi Sawada, Hideaki Saba, Hiroshi Kitamoto, Yoshiki Kato, Yoshiko Shiozuka, Tomoko Kuwada, Sayoko Shima, Kana Murakami, Megumi Sasaki and 2 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. 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

12 authors at 2 institutions in 1 country.

Toru SatohRyofukai Satoh Neurosurgical Hospital, Fukuyama, Hiroshima, Japan.ORCID 0000-0002-2324-1144
Yoichi SawadaOkayama Prefectural University, Soja, Okayama, Japan.ORCID 0000-0002-6345-382X
Hideaki SabaRyofukai Satoh Neurosurgical Hospital, Fukuyama, Hiroshima, Japan.
Hiroshi KitamotoRyofukai Satoh Neurosurgical Hospital, Fukuyama, Hiroshima, Japan.
Yoshiki KatoRyofukai Satoh Neurosurgical Hospital, Fukuyama, Hiroshima, Japan.
Yoshiko ShiozukaRyofukai Satoh Neurosurgical Hospital, Fukuyama, Hiroshima, Japan.
Tomoko KuwadaRyofukai Satoh Neurosurgical Hospital, Fukuyama, Hiroshima, Japan.
Sayoko ShimaRyofukai Satoh Neurosurgical Hospital, Fukuyama, Hiroshima, Japan.
Kana MurakamiRyofukai Satoh Neurosurgical Hospital, Fukuyama, Hiroshima, Japan.
Megumi SasakiRyofukai Satoh Neurosurgical Hospital, Fukuyama, Hiroshima, Japan.
Yudai AbeRyofukai Satoh Neurosurgical Hospital, Fukuyama, Hiroshima, Japan.
Kaori HaranoOtsuma Women's University, Tama, Tokyo, Japan.
Okayama Prefectural University · JPOtsuma Women's University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

INTRODUCTION/

objectivesTo assess the utility of the computerized cognitive function assessment tool, CogEvo, as a screening tool for mild cognitive impairment in primary care, we explored the relationship between CogEvo performance, age, and the severity of cognitive dysfunction evaluated by the Mini-Mental State Examination (MMSE).

methodsThe observational cross-sectional study included 209 individuals' data (mean age 79.4 ± 8.9 years). We conducted a correlation analysis between CogEvo and MMSE scores, compared the performance among the 3 cognitive function groups (MMSE ≥ 28 group; MMSE24-27 group; MMSE ≤ 23 group) using the MMSE cut-off, and evaluated CogEvo's predictive accuracy for cognitive dysfunction through ROC analysis.

resultsBoth total CogEvo and MMSE scores significantly decreased with age. A significant positive correlation was observed between total CogEvo and MMSE scores, but a ceiling effect was detected in MMSE performance. Significant differences were observed in the total CogEvo score, including orientation and spatial cognitive function scores, among the 3 groups. CogEvo showed no educational bias. ROC analyses indicated moderate discrimination between the MMSE ≥ 28 group and the MMSE24-27 and MMSE ≤ 23 groups.

conclusionsThe computer-administered CogEvo has the advantage of not exhibiting ceiling effects or educational bias like the MMSE, and was found to be able to detect age-related cognitive decline and impairment.

Indexed as

Cognitive DysfunctionDementiaAgedAged, 80 and overCognitionCross-Sectional StudiesEducational StatusHumansCogEvocomputerized cognitive function assessment tooldementiamild cognitive impairmentscreening

Identifiers

PMID38504559
PMCPMC10953101
OpenAlexW4393010333

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.