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Record W1969089885 · doi:10.1176/jnp.16.4.409

The Acetylcholinesterase Inhibitors for Treatment of Cognitive and Behavioral Symptoms in Dementia With Lewy Bodies

2004· review· en· W1969089885 on OpenAlexaff
Martine Simard, Robert van Reekum

Bibliographic record

VenueJournal of Neuropsychiatry · 2004
Typereview
Languageen
FieldMedicine
TopicCholinesterase and Neurodegenerative Diseases
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsDementia with Lewy bodiesDementiaMoodCognitionRandomized controlled trialClinical trialClinical psychologyMedicinePsychologyPsychiatryDiseasePathology

Abstract

fetched live from OpenAlex

Dementia with Lewy bodies (DLB) is a common cause of dementia with effects on cognition, mood, behavior, and function. Changes in the acetylcholine system have been reported in brains of patients with DLB, which provides a rationale for trials of acetylcholinesterase inhibitors in DLB. This review includes all English-language publications found via Medline and related to the efficacy and/or safety of these compounds in DLB. Preliminary data suggest that these compounds may be efficacious in DLB and that future randomized clinical trials are strongly needed. Methodological limitations of the existing data include small sample sizes, and the paucity of standardized psychometric measures.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.047
GPT teacher head0.376
Teacher spread0.329 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations38
Published2004
Admission routes1
Has abstractyes

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