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Record W2393884184

Application of Stroop color-word test on Chinese elderly patients with vascular cognitive impairment no dementia

2011· article· en· W2393884184 on OpenAlexaboutno aff
Wen Li

Bibliographic record

VenueJournal of Nantong University · 2011
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsStroop effectDementiaAudiologyCognitionCognitive impairmentClinical Dementia RatingSignificant differenceMedicineTest (biology)PsychologyInternal medicinePsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Objective:To investigate the applicability of Chinese version Stroop color-word test(CWT) to Chinese elderly patients with vascular cognitive impairment no dementia(VCIND).Methods:43 patients with VCIND and 35 age-,sex-and education-matched healthy controls were examined using montreal cognitive assessment,stroop color-word test and clinical dementia rating(CDR) etc.Results:Compared with normal control(NC) group,patients with VCIND took longer time(P0.01) and their score was lower(P0.05) in the C part of stroop color-word test;patients with VCIND took longer time than NC(P0.05),but the score difference was not statistically significant(P0.05) in the B part,and the difference in A part was either(P0.05).Conclusion:Stroop color-word test can find executive function impairment of patients with VCIND and it is helpful for early detection.

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 score0.014
Threshold uncertainty score0.301

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 head0.011
GPT teacher head0.199
Teacher spread0.188 · 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
Published2011
Admission routes1
Has abstractyes

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