Evidence map›Paper›PMID 38995772›Full record

ArticleJournal of Alzheimer's disease : JAD2024

The Case of the Cookie Jar: Differences in Typical Language Use in Dementia.

Davida Fromm, Sarah Grace Dalton, Alexander Brick, Gbenuola Olaiya, Sophia Hill, Joel Greenhouse, Brian MacWhinney

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Davida FrommDepartment of Psychology, Carnegie Mellon University, Pittsburgh, PA, USA.
Sarah Grace DaltonDepartment of Speech Pathology and Audiology, Marquette University, Milwaukee, WI, USA.
Alexander BrickDepartment of Statistics and Data Science, Carnegie Mellon University, Pittsburgh, PA, USA.
Gbenuola OlaiyaDepartment of Statistics and Data Science, Carnegie Mellon University, Pittsburgh, PA, USA.
Sophia HillDepartment of Statistics and Data Science, Carnegie Mellon University, Pittsburgh, PA, USA.
Joel GreenhouseDepartment of Statistics and Data Science, Carnegie Mellon University, Pittsburgh, PA, USA.
Brian MacWhinneyDepartment of Psychology, Carnegie Mellon University, Pittsburgh, PA, USA.

Funding

RHDBank Database DevelopmentR01DC008524 · NIDCD · CARNEGIE-MELLON UNIVERSITY · PI BRIAN MACWHINNEY · 2007 to 2026
$7.0M
NIDCD NIH HHS R01 DC008524
6 · The paper itself

Abstract

Background: Findings from language sample analyses can provide efficient and effective indicators of cognitive impairment in older adults. Objective: This study used newly automated core lexicon analyses of Cookie Theft picture descriptions to assess differences in typical use across three groups. Methods: Participants included adults without diagnosed cognitive impairments (Control), adults diagnosed with Alzheimer's disease (ProbableAD), and adults diagnosed with mild cognitive impairment (MCI). Cookie Theft picture descriptions were transcribed and analyzed using CLAN. Results: Results showed that the ProbableAD group used significantly fewer core lexicon words overall than the MCI and Control groups. For core lexicon content words (nouns, verbs), however, both the MCI and ProbableAD groups produced significantly fewer words than the Control group. The groups did not differ in their use of core lexicon function words. The ProbableAD group was also slower to produce most of the core lexicon words than the MCI and Control groups. The MCI group was slower than the Control group for only two of the core lexicon content words. All groups mentioned a core lexicon word in the top left quadrant of the picture early in the description. The ProbableAD group was then significantly slower than the other groups to mention a core lexicon word in the other quadrants. Conclusions: This standard and simple-to-administer task reveals group differences in overall core lexicon scores and the amount of time until the speaker produces the key items. Clinicians and researchers can use these tools for both early assessment and measurement of change over time.

Indexed as

Cognitive DysfunctionAgedAged, 80 and overAlzheimer DiseaseDementiaFemaleHumansLanguageLanguage TestsMaleNeuropsychological TestsAlzheimer’s diseaselanguagemild cognitive impairmentspeech

Identifiers

PMID38995772
PMCPMC11380261

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.