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Olanzapine in the Treatment of Low Body Weight and Obsessive Thinking in Women With Anorexia Nervosa: A Randomized, Double-Blind, Placebo-Controlled Trial

2008· article· en· W2070200231 on OpenAlexaff
Hany Bissada, Giorgio A. Tasca, Ann Barber, Jacques Bradwejn

Bibliographic record

VenueAmerican Journal of Psychiatry · 2008
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsOlanzapineAnorexia nervosaDouble blindPlaceboRandomized controlled trialPsychiatryPsychologyMedicinePediatricsInternal medicineEating disordersSchizophrenia (object-oriented programming)Alternative medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: Anorexia nervosa is associated with high mortality, morbidity, and treatment costs. Olanzapine, an atypical antipsychotic, is known to result in weight gain in other patient populations. The objective of this trial was to assess the efficacy of olanzapine in promoting weight gain and in reducing obsessive symptoms among adult women with anorexia nervosa. METHOD: The study was a double-blind, placebo-controlled, 10-week flexible dose trial in which patients with anorexia nervosa (N=34) were randomly assigned to either olanzapine plus day hospital treatment or placebo plus day hospital treatment. RESULTS: Compared with placebo, olanzapine resulted in a greater rate of increase in weight, earlier achievement of target body mass index, and a greater rate of decrease in obsessive symptoms. No differences in adverse effects were observed between the two treatment conditions. CONCLUSIONS: These preliminary results suggest that olanzapine may be safely used in achieving more rapid weight gain and improvement in obsessive symptoms among women with anorexia nervosa. Replication, in the form of a large multicenter trial, is recommended.

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)0.003
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 score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.013
GPT teacher head0.289
Teacher spread0.276 · 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

Citations269
Published2008
Admission routes1
Has abstractyes

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Same venueAmerican Journal of PsychiatrySame topicEating Disorders and BehaviorsFrench-language works237,207