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Randomized Controlled Trial of Olanzapine in the Treatment of Cognitions in Anorexia Nervosa

2005· article· en· W2055502324 on OpenAlexaff
Naresh Mondraty, C. Laird Birmingham, Stephen Touyz, Viktoria Sundakov, Lucy Chapman, P. J. V. Beumont

Bibliographic record

VenueAustralasian Psychiatry · 2005
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsSt. Paul's HospitalUniversity of British Columbia
Fundersnot available
KeywordsOlanzapineAnorexia nervosaRuminationPsychologyRandomized controlled trialAnorecticSchizophrenia (object-oriented programming)Atypical antipsychoticPsychiatryAntipsychoticPlaceboClinical psychologyMedicineCognitionEating disordersInternal medicineBody weight

Abstract

fetched live from OpenAlex

OBJECTIVE: Recovery from anorexia nervosa is confounded by intrusive anorectic cognitions and rituals. It has been observed that olanzapine, an atypical antipsychotic, can reduce this anorexic rumination. A pilot study was designed to test the effectiveness of olanzapine in this role. METHODS: A randomized trial of olanzapine versus chlorpromazine, with anorexic rumination as the primary outcome, was conducted. Of the 26 patients who presented, 15 were randomized in a balanced block design, eight to olanzapine and seven to chlorpromazine. RESULTS: Only the olanzapine group had a significant reduction in the degree of rumination. CONCLUSION: Olanzapine may be of benefit in anorexia nervosa by causing a reduction in anorexic rumination.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0120.001

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 head0.020
GPT teacher head0.332
Teacher spread0.312 · 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 designRandomized trial
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

Citations126
Published2005
Admission routes1
Has abstractyes

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