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Record W4248941815 · doi:10.1002/14651858.cd008191

Antidepressants for agitation and psychosis in dementia

2010· reference-entry· en· W4248941815 on OpenAlexaff
Dallas Seitz, Nikesh Adunuri, Sudeep S. Gill, Andrea Gruneir, Nathan Herrmann, Paula A. Rochon

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2010
Typereference-entry
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsQueen's UniversityWomen's College HospitalUniversity of TorontoBaycrest Hospital
Fundersnot available
KeywordsTrazodoneMemantineDementiaPsychosisGalantaminePsychiatryPsychomotor agitationMedicinePlaceboPsychologyVascular dementiaAntidepressantDonepezilInternal medicineDiseaseAlternative medicine

Abstract

fetched live from OpenAlex

This is a protocol for a Cochrane Review (Intervention). The objectives are as follows: To assess the safety and efficacy of antidepressants in treating psychosis and agitation in adults with Alzheimer's, vascular or mixed dementia. The effects of different classes of antidepressants (SSRIs, TCAs, trazodone, other antidepressants) will be compared to either placebo or alternative psychotropic medications including antipsychotics, benzodiazepines, anticonvulsants, cholinesterase inhibitors or memantine.

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)0.016
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.098
Threshold uncertainty score0.328

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.038
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0100.011
Bibliometrics0.0100.011
Science and technology studies0.0020.001
Scholarly communication0.0040.004
Open science0.0030.003
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0980.009

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 head0.093
GPT teacher head0.410
Teacher spread0.317 · 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 designSystematic review
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

Citations50
Published2010
Admission routes1
Has abstractyes

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