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Record W2364088446

Application of Montreal cognitive assessment scale in assessment of mild cognitive impairment

2012· article· en· W2364088446 on OpenAlex
Yin Jing

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueZhonghua laonian xin-nao-xueguanbing zazhi · 2012
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal Cognitive AssessmentMedicineCognitive impairmentCognitionInternal medicineScale (ratio)PsychiatryCartography
DOInot available

Abstract

fetched live from OpenAlex

Objective To study the application of Chinese version Montreal cognitive assessment (MoCA) scale in assessment of mild cognitive impairment(MCI).Methods One hundred and twenty-eight MCI patients served as a MCI group and 101 healthy subjects served as a control group in this study.Their cognitive function was assessed according to the MoCA and MMSE scales.Results The total score on the MoCA scale was positively correlated with that on the MoCA scale in MCI group and control group(r=0.352,P0.05;r=0.765,P0.01).The score was significantly lower on the MoCA scale than on the MMSE scale(P0.01).The total score and other subitem scores on the MoCA scale were significantly lower in MCI group than in control group(P0.05).The sensitivity and specificity of MoCA and MMSE scales were 97.66% and 95.05%,32.03%and 100%,respectively,for the detection of MCI.Conclusion The total score on the MoCA scale is related with that on the MMSE scale in MCI patients and healthy subjects. The sensitivity of MoCA scale is higher than that of MMSE scale in assessment of MCI.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.026
GPT teacher head0.326
Teacher spread0.299 · 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