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Effect of donepezil hydrochloride on changes of cognitive function and Montreal cognitive assessment scores in patients with mild cognitive impairment

2012· article· en· W3032036797 on OpenAlexaboutno aff
Jiwei Zhao, Jingkun Zhao

Bibliographic record

VenueChinese Journal of Neuromedicine · 2012
Typearticle
Languageen
FieldMedicine
TopicGinkgo biloba and Cashew Applications
Canadian institutionsnot available
Fundersnot available
KeywordsDonepezilMontreal Cognitive AssessmentCognitionVerbal fluency testMedicineMemory spanCognitive impairmentHydrochlorideInternal medicinePsychologyPsychiatryDementiaNeuropsychologyDiseaseWorking memory

Abstract

fetched live from OpenAlex

Objective To investigate the effect of donepezil hydrochloride on changes of cognitive functions and Montreal cognitive assessment (MoCA) scores in patients with mild cognitive impairment (MCI). Methods A total of 50 patients diagnosed as having MCI,admitted to our hospital from September 2010 to March 2011, were recruited; these patients were randomly assigned into treatment group (treated with donepezil hydrochloride,n=30) and control group (treated with Ginkgo biloba,n=20); the changes of MoCA scores were noted at 12 and 24 weeks after treatment.The data were analyzed by the statistical software SPSS 10.0. Results MoCA scores of treatment group 12 and 24 weeks after treatment were significantly higher than those before treatment (P<0.05); MoCA scores of treatment group were significantly higher than those of control group 12 and 24 weeks after treatment (P<0.05).Mann-Whitney rank sum test showed significant improvement in digit span,verbal fluency and delayed memory after the treatment of donepezil hydrochloride for 12 weeks as compared with those before treatment (P<0.05). Conclusion By MoCA scale,MCI patients could get early diagnosis; MCI patients with early diagnosis and early application of donepezil hydrochloride will delay their entry into the course of AD. Key words: Mini Mental State Examination; Montreal Cognitive Assessment; Mild cognitive impairment; Donepezil hydrochloride

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 score0.038
Threshold uncertainty score0.583

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.007
GPT teacher head0.282
Teacher spread0.275 · 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

Citations3
Published2012
Admission routes1
Has abstractyes

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