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Record W2388759378

Application of Clock Drawing Test in Screening Cognitive Function Impairment of Parkinson's Disease

2012· article· en· W2388759378 on OpenAlexaboutno aff
Liu Yan

Bibliographic record

VenueZhongguo manxingbing yufang yu kongzhi · 2012
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal Cognitive AssessmentMedicineNeuropsychologyCognitionDiseaseCognitive impairmentNeuropsychological testingParkinson's diseaseAbnormalityTest (biology)Neuropsychological testInternal medicineMini–Mental State ExaminationPhysical therapyPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Objective To explore the application of clock drawing test(CDT)in screening cognitive function impairment of Parkinson's disease(PD).Methods Forty-three patients with PD were involved into the study,comprehensively evaluated with the series of neuropsychological test including CDT,mini-mental state examination(MMSE),Montreal cognitive assessment(MoCA)and other tests.Results The CDT score of twenty-one patients were less than 3(48.8%).The main abnormality of CDT was in the digital part(34.9%)and the finger part(39.5%).No difference was found in age,disease duration,education years and UPRDS-III between the CDT normal group and the CDT abnormal group(P0.05),while the difference of Hoehn Yahr scale,MMSE and MoCA between two groups were significant(P0.01).CDT was positively related with MoCA and MMSE(P0.01),and negatively related with Hoehn Yahr scale,while not related with age,disease duration,education and UPRDS-III years(P0.05).Conclusion CDT is a convenient and sensitive cognitive screening test for cognitive function impairment of Parkinson's disease.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.863

Codex and Gemma teacher scores by category

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

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 head0.025
GPT teacher head0.261
Teacher spread0.236 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2012
Admission routes1
Has abstractyes

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