Evidence map›Paper›PMID 35511561›Full record

ArticleNeuropsychology2022

Using the Montreal cognitive assessment to identify individuals with subtle cognitive decline.

Tess E K Cersonsky, Shanti Mechery, Matthew M Carper, Louisa Thompson, Athene Lee, Jessica Alber, Indra Neil Sarkar, Leslie Ann D Brick

Abstract read
In one paragraph

Article in Neuropsychology, 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
–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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
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  10. Review
  11. Article
  12. Related amyloid burden and cortical atrophy in individuals with subtle cognitive decline.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2022
    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

8 authors.

Tess E K CersonskyWarren Alpert Medical School.ORCID 0000-0002-9539-1408
Shanti MecheryMemory and Aging Program.ORCID 0000-0002-0349-2659
Matthew M CarperWarren Alpert Medical School.ORCID 0000-0001-7125-9851
Louisa ThompsonWarren Alpert Medical School.
Athene LeeWarren Alpert Medical School.ORCID 0000-0002-8828-8701
Jessica AlberMemory and Aging Program.ORCID 0000-0002-5090-4206
Indra Neil SarkarWarren Alpert Medical School.ORCID 0000-0003-2054-7356
Leslie Ann D BrickWarren Alpert Medical School.ORCID 0000-0002-1877-2493

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Tracking and Evaluation CoreU54GM115677 · NIGMS · BROWN UNIVERSITY · PI CHOUDHARY, GAURAV · 2016 to 2025
$45.0M
NIA NIH HHS U01 AG024904NIBIB NIH HHSNIGMS NIH HHS U54 GM115677NIH HHS
6 · The paper itself

Abstract

objectiveDementia is a devastating neurological disease that may be better managed if diagnosed earlier when subclinical neurodegenerative changes are already present, including subtle cognitive decline and mild cognitive impairment. In this study, we used item-level performance on the Montreal Cognitive Assessment (MoCA) to identify individuals with subtle cognitive decline.

methodIndividual MoCA item data from the Alzheimer's Disease Neuroimaging Initiative was grouped using

resultsA three-cluster solution had 77.3% precision, with Cluster 1 (high performing) displaying no deficits in performance, Cluster 2 (memory deficits) displaying lower memory performance, and Cluster 3 (compound deficits) displaying lower performance on memory and executive function. Age at MoCA (older in compound deficits), gender (more females in memory deficits), and marital status (fewer married in compound deficits) were significantly different among clusters. Age was not associated with increased odds of membership in the high-performing cluster compared to the others.

conclusionsWe identified three clusters of individuals classified as cognitively unimpaired using cluster analysis. Individuals in the compound deficits cluster performed lower on the MoCA and were older and less often married than individuals in other clusters. Demographic analyses suggest that cluster identity was due to a combination of both cognitive and clinical factors. Identifying individuals at risk for future cognitive decline using the MoCA could help them receive earlier evidence-based interventions to slow further cognitive decline. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Indexed as

Alzheimer DiseaseCognitive DysfunctionFemaleHumansMemory DisordersMental Status and Dementia TestsNeuropsychological Tests

Identifiers

PMID35511561
PMCPMC9912279

What Socratic holds

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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 Socratic graph.