Evidence map›Paper›PMID 32864411›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)2020

cCOG: A web-based cognitive test tool for detecting neurodegenerative disorders.

Hanneke F M Rhodius-Meester, Teemu Paajanen, Juha Koikkalainen, Shadi Mahdiani, Marie Bruun, Marta Baroni, Afina W Lemstra, Philip Scheltens, Sanna-Kaisa Herukka, Maria Pikkarainen and 11 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  5. Review
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  7. Observational
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  9. Article
  10. Review
  11. cCOG Web-Based Cognitive Assessment Tool.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  12. Article
  13. Optimizing cCOG, a Web-based tool, to detect dementia with Lewy Bodies.Alzheimer's & dementia (Amsterdam, Netherlands) · 2022
    Article
  14. Article
  15. Article
  16. cCOG: A web-based cognitive test tool for detecting neurodegenerative disorders.Alzheimer's & dementia (Amsterdam, Netherlands) · 2020
    Article
  17. 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

21 authors.

Hanneke F M Rhodius-MeesterDepartment of Neurology Alzheimer Center Amsterdam Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam the Netherlands.
Teemu PaajanenResearch and Service Centre Finnish Institute of Occupational Health Helsinki Finland.
Juha KoikkalainenCombinostics Ltd Tampere Finland.
Shadi MahdianiVTT Technical Research Centre of Finland Ltd Tampere Finland.
Marie BruunDepartment of Neurology Danish Dementia Research Centre Rigshospitalet Copenhagen University Hospital Copenhagen Denmark.
Marta BaroniSection of Gerontology and Geriatrics University of Perugia Perugia Italy.
Afina W LemstraDepartment of Neurology Alzheimer Center Amsterdam Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam the Netherlands.
Philip ScheltensDepartment of Neurology Alzheimer Center Amsterdam Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam the Netherlands.
Sanna-Kaisa HerukkaDepartment of Neurology University of Eastern Finland Kuopio Finland.
Maria PikkarainenDepartment of Neurology University of Eastern Finland Kuopio Finland.
Anette HallDepartment of Neurology University of Eastern Finland Kuopio Finland.
Tuomo HänninenDepartment of Neurology Neurocenter Kuopio University Hospital Kuopio Finland.
Tiia NganduFinnish Institute for Health and Welfare Helsinki Finland.
Miia KivipeltoDepartment of Neurology University of Eastern Finland Kuopio Finland.
Mark van GilsVTT Technical Research Centre of Finland Ltd Tampere Finland.
Steen Gregers HasselbalchDepartment of Neurology Danish Dementia Research Centre Rigshospitalet Copenhagen University Hospital Copenhagen Denmark.
Patrizia MecocciSection of Gerontology and Geriatrics University of Perugia Perugia Italy.
Anne RemesUnit of Clinical Neuroscience Neurology and Medical Research Center University of Oulu Oulu Finland.
Hilkka SoininenDepartment of Neurology University of Eastern Finland Kuopio Finland.
Wiesje M van der FlierDepartment of Neurology Alzheimer Center Amsterdam Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam the Netherlands.
Jyrki LötjönenCombinostics Ltd Tampere Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWeb-based cognitive tests have potential for standardized screening in neurodegenerative disorders. We examined accuracy and consistency of cCOG, a computerized cognitive tool, in detecting mild cognitive impairment (MCI) and dementia.

methodsClinical data of 306 cognitively normal, 120 mild cognitive impairment (MCI), and 69 dementia subjects from three European cohorts were analyzed. Global cognitive score was defined from standard neuropsychological tests and compared to the corresponding estimated score from the cCOG tool containing seven subtasks. The consistency of cCOG was assessed comparing measurements administered in clinical settings and in the home environment.

resultscCOG produced accuracies (receiver operating characteristic-area under the curve [ROC-AUC]) between 0.71 and 0.84 in detecting MCI and 0.86 and 0.94 in detecting dementia when administered at the clinic and at home. The accuracy was comparable to the results of standard neuropsychological tests (AUC 0.69-0.77 MCI/0.91-0.92 dementia). DISCUSSION: cCOG provides a promising tool for detecting MCI and dementia with potential for a cost-effective approach including home-based cognitive assessments.

Indexed as

Alzheimer's diseaseclinical decision supportcognitioncomputerized cognitive testdementiamemorymild cognitive impairmentneuropsychologyweb‐based cognitive test

Identifiers

PMID32864411
PMCPMC7446945

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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.