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Olanzapine Versus Placebo in Acute Mania

2003· article· en· W2030841280 on OpenAlexaff
Ross J. Baldessarini, John Hennen, Michael G. Wilson, Joseph R. Calabrese, Roy Chengappa, Paul E. Keck, Susan L. McElroy, Gary Sachs, Eduard Vieta, Jeffrey A. Welge, Lakshmi N. Yatham, Carlos A. Zarate, Robert W. Baker, Mauricio Tohen

Bibliographic record

VenueJournal of Clinical Psychopharmacology · 2003
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsUniversity of British Columbia
FundersBruce J. Anderson FoundationEli Lilly and Company
KeywordsOlanzapineManiaPlaceboAntipsychoticAtypical antipsychoticPsychiatryPsychologyBipolar disorderInternal medicineMedicineSchizophrenia (object-oriented programming)Mood

Abstract

fetched live from OpenAlex

Two double-blind, placebo-controlled trials of olanzapine in acute mania showed significant overall antimanic efficacy, based on reductions in mania ratings. Their subject-level data were pooled to increase statistical power to test for differences in treatment responses among 10 subgroup pairs of interest using generalized estimating equations methods. Similar drug/placebo superiority and responsiveness to olanzapine was found in men versus women, psychotic versus nonpsychotic subjects, and those presenting in mania versus mixed states, and responses were independent of onset age, current age, or prior illness based on episodes, hospitalizations, recent rapid cycling, lifetime substance use, or previous antipsychotic treatment. Olanzapine and placebo responses paralleled closely (r(s) = 0.73). Patients were relatively more responsive to olanzapine who were younger at illness onset, lacked prior substance abuse, and had not previously received antipsychotic treatment (efficacy ratios 1.5-1.7, all P < 0.01). These well-powered comparisons of subgroups of interest indicate broad efficacy of olanzapine in the treatment of acute mania.

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)0.003
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.072
GPT teacher head0.480
Teacher spread0.408 · 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

Citations61
Published2003
Admission routes1
Has abstractyes

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