Evidence map›Paper›PMID 36569383›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)2022

Optimizing cCOG, a Web-based tool, to detect dementia with Lewy Bodies.

Aniek M van Gils, Marleen van de Beek, Annemartijn A J M van Unnik, Antti Tolonen, Dédé Handgraaf, Mardou van Leeuwenstijn, Jyrki Lötjönen, Wiesje M van der Flier, Afina Lemstra, Hanneke F M Rhodius-Meester

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Review
  8. Article
  9. cCOG Web-Based Cognitive Assessment Tool.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  10. Article
  11. Optimizing cCOG, a Web-based tool, to detect dementia with Lewy Bodies.Alzheimer's & dementia (Amsterdam, Netherlands) · 2022
    Article
  12. 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

10 authors at 4 institutions in 2 countries.

Aniek M van GilsAlzheimer Center Amsterdam Neurology Vrije Universiteit Amsterdam Amsterdam UMC location VUmc Amsterdam The Netherlands.
Marleen van de BeekAlzheimer Center Amsterdam Neurology Vrije Universiteit Amsterdam Amsterdam UMC location VUmc Amsterdam The Netherlands.
Annemartijn A J M van UnnikAlzheimer Center Amsterdam Neurology Vrije Universiteit Amsterdam Amsterdam UMC location VUmc Amsterdam The Netherlands.
Antti TolonenCombinostics Ltd Tampere Finland.
Dédé HandgraafAlzheimer Center Amsterdam Neurology Vrije Universiteit Amsterdam Amsterdam UMC location VUmc Amsterdam The Netherlands.
Mardou van LeeuwenstijnAlzheimer Center Amsterdam Neurology Vrije Universiteit Amsterdam Amsterdam UMC location VUmc Amsterdam The Netherlands.
Jyrki LötjönenCombinostics Ltd Tampere Finland.
Wiesje M van der FlierAlzheimer Center Amsterdam Neurology Vrije Universiteit Amsterdam Amsterdam UMC location VUmc Amsterdam The Netherlands.
Afina LemstraAlzheimer Center Amsterdam Neurology Vrije Universiteit Amsterdam Amsterdam UMC location VUmc Amsterdam The Netherlands.
Hanneke F M Rhodius-MeesterAlzheimer Center Amsterdam Neurology Vrije Universiteit Amsterdam Amsterdam UMC location VUmc Amsterdam The Netherlands.
Amsterdam Neuroscience · NLTheranostics (New Zealand) · NZVrije Universiteit Amsterdam · NLAmsterdam University Medical Centers · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Distinguishing dementia with Lewy bodies (DLB) from Alzheimer's disease (AD) is challenging due to overlapping presentations. We adapted a Web-based test tool, cCOG, by adding a visuospatial task and a brief clinical survey and assessed its ability to differentiate between DLB and AD. Methods: We included 110 patients ( Results: cCOG cognitive tasks and clinical survey had moderate to strong correlations to standard neuropsychological testing (.61≤ Conclusion: We illustrated that cCOG aids in distinguishing DLB and AD patients by using remote assessment of cognition and clinical features. Our findings pave the way to a funneled, harmonized diagnostic process among memory clinics and, eventually, a more timely and accurate diagnosis of DLB and AD.

Indexed as

Alzheimer's diseasedementiadiagnosticsdigital assessmentLewy body dementianeurodegenerative disordersneuropsychologyWeb‐based cognitive testing

Identifiers

PMID36569383
PMCPMC9773307
OpenAlexW4312211328

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.