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Record W2055060307 · doi:10.4021/jnr.v3i1.178

Treatment Effect of Donepezil is Greater in Moderate Stage Than in Mild Stage of Alzheimer's Disease

2013· article· en· W2055060307 on OpenAlexvenueno aff
Min Soo Jung, Young Min Lee, Je‐Min Park, Byung Dae Lee, Eunsoo Moon, Young In Chung

Bibliographic record

VenueJournal of Neurology Research · 2013
Typearticle
Languageen
FieldMedicine
TopicCholinesterase and Neurodegenerative Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsDonepezilMedicineClinical Dementia RatingStage (stratigraphy)Internal medicineDiseaseDementiaCohortCholinesteraseAlzheimer's disease

Abstract

fetched live from OpenAlex

Background: Alzheimer’s disease (AD) is a progressive disease with an insidious onset and a downhill course. Treatment response of cholinesterase inhibitors for AD seems to depend on severity degree but it is not clear which stage is more responsive. Methods: This was a 1 year, retrospective cohort study. AD patients (very mild, 188; mild, 153; moderate, 31) were recruited from the memory impairment clinic at Pusan National University Hospital of South Korea. Mean differences (score at the end of one-year follow up - score at baseline) in the Clinical Dementia Rating Sum of Boxes (CDRSOB) were used as the primary efficacy measures. Patients initially received 5 mg/day donepezil for first 1 month, then 10 mg/day for the remainder of the study. Results: Declining rates of the CDR 0.5 and the CDR 1 have higher declining rate in CDRSOB than the CDR 2 group. Conclusion: This study shows that the rate of cognitive decline is less in moderate AD than other stage of AD. This suggests that treatment effect of donepezil may be greater in moderate stage than in mild stage of AD. doi: http://dx.doi.org/10.4021/jnr178w

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score0.451

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.113
GPT teacher head0.413
Teacher spread0.300 · 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
Published2013
Admission routes1
Has abstractyes

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