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Record W4285819455 · doi:10.1159/000525618

Evaluation of the Dementia Apraxia Test in Parkinson’s Disease Patients

2022· article· en· W4285819455 on OpenAlexaff
Daniela Renftle, Sara Becker, Kathrin Brockmann, Thomas Gasser, Katja Michaelis, Susanne Solbrig, Patricia Sulzer, Andreas Johnen, Inga Liepelt‐Scarfone

Bibliographic record

VenueDementia and Geriatric Cognitive Disorders · 2022
Typearticle
Languageen
FieldPsychology
TopicAction Observation and Synchronization
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsApraxiaDementiaPsychologyCognitionTrail Making TestAudiologyParkinson's diseaseCognitive impairmentMedicineDiseasePsychiatryInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Ideomotor apraxia, a disorder of skilled movements affecting limbs and/or face, can be seen in patients with Parkinson's disease (PD), yet tests of apraxia in PD are rare. The aim of this project was to evaluate the psychometric properties and validity of the Dementia Apraxia Test (DATE) in a PD sample. METHODS: 118 PD patients were included. Besides DATE performance, motor and non-motor burden, cognition, and activity of daily living (ADL) function were assessed. Patients were classified as cognitively impaired (n = 41) or non-cognitively impaired (n = 77). RESULTS: Interrater reliability of the DATE (sub-)scores between video ratings and on-site ratings by the investigator was good (0.81 ≤ rk ≤ 0.87). Items were mostly easy to perform, especially the buccofacial apraxia items, which had also low discriminatory power. DATE scores were associated with cognition and ADL function. DATE performance was confounded by motor impairment and patients' age; however, when analysed for both cognitive groups separately, the correlation between DATE and motor performance was not significant. DISCUSSION/CONCLUSION: The DATE seems to be an objective and predominantly valid apraxia screening tool for PD patients, with a few items needing revision. Due to the potential effect of motor impairment and age, standardized scores adjusting for these confounders are needed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.278
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2022
Admission routes1
Has abstractyes

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