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Record W2213525431 · doi:10.1038/mp.2015.158

Optimal duration of risperidone or olanzapine adjunctive therapy to mood stabilizer following remission of a manic episode: A CANMAT randomized double-blind trial

2015· article· en· W2213525431 on OpenAlexafffund
Lakshmi N. Yatham, Serge Beaulieu, Ayal Schaffer, Marcia Kauer‐Sant’Anna, Flávio Kapczinski, Beny Lafer, Verinder Sharma, Sagar V. Parikh, Andrée Daigneault, Hong Qian, David J. Bond, Peter H. Silverstone, Nazlin Walji, Roumen Milev, Philippe Baruch, Alexandre Cunha, João Quevedo, Rodrigo da Silva Dias, Maurício Kunz, L. Trevor Young, Raymond W. Lam, Hubert Wong

Bibliographic record

VenueMolecular Psychiatry · 2015
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsInstitut Universitaire en Santé Mentale de QuébecQueen's UniversityDouglas Mental Health University InstituteSt. Paul's HospitalUniversity of AlbertaUniversité de MontréalSunnybrook Health Science CentreCentre for Advancing Health OutcomesUniversity of TorontoWestern UniversityUniversity Health NetworkMcGill UniversityUniversity of British Columbia
FundersCilagJanssen CanadaPfizer CanadaSt. Jude MedicalH. Lundbeck A/SServierBristol-Myers SquibbEli Lilly and CompanyAstraZenecaNational Alliance for Research on Schizophrenia and DepressionHospital de Clínicas de Porto AlegreConselho Nacional de Desenvolvimento Científico e TecnológicoValeant Pharmaceuticals InternationalFundação Instituto de Pesquisas EconômicasCanadian Institutes of Health ResearchSunovionInstituto Nacional de Ciência e Tecnologia Translacional em MedicinaPfizer
KeywordsOlanzapineRisperidoneMood stabilizerManiaDiscontinuationAtypical antipsychoticInternal medicinePlaceboRandomized controlled trialHazard ratioAdjunctive treatmentAntipsychoticMedicinePsychologyBipolar disorderLithium (medication)PsychiatryConfidence intervalSchizophrenia (object-oriented programming)

Abstract

fetched live from OpenAlex

Atypical antipsychotic adjunctive therapy to lithium or valproate is effective in treating acute mania. Although continuation of atypical antipsychotic adjunctive therapy after mania remission reduces relapse of mood episodes, the optimal duration is unknown. As many atypical antipsychotics cause weight gain and metabolic syndrome, they should not be continued unless the benefits outweigh the risks. This 52-week double-blind placebo-controlled trial recruited patients with bipolar I disorder (n=159) who recently remitted from a manic episode during treatment with risperidone or olanzapine adjunctive therapy to lithium or valproate. Patients were randomized to one of three conditions: discontinuation of risperidone or olanzapine and substitution with placebo at (i) entry ('0-weeks' group) or (ii) at 24 weeks after entry ('24-weeks' group) or (iii) continuation of risperidone or olanzapine for the full duration of the study ('52-weeks' group). The primary outcome measure was time to relapse of any mood episode. Compared with the 0-weeks group, the time to any mood episode was significantly longer in the 24-weeks group (hazard ratio (HR) 0.53; 95% confidence interval (CI): 0.33, 0.86) and nearly so in the 52-weeks group (HR: 0.63; 95% CI: 0.39, 1.02). The relapse rate was similar in the 52-weeks group compared with the 24-weeks group (HR: 1.18; 95% CI: 0.71, 1.99); however, sub-group analysis showed discordant results between the two antipsychotics (HR: 0.48, 95% CI: 0.17; 1.32 olanzapine patients; HR: 1.85, 95% CI: 1.00, 3.41 risperidone patients). Average weight gain was 3.2 kg in the 52-weeks group compared with a weight loss of 0.2 kg in the 0-weeks and 0.1 kg in the 24-weeks groups. These findings suggest that risperidone or olanzapine adjunctive therapy for 24 weeks is beneficial but continuation of risperidone beyond this period does not reduce the risk of relapse. Whether continuation of olanzapine beyond this period reduces relapse risk remains unclear but the potential benefit needs to be weighed against an increased risk of weight gain.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.013
Threshold uncertainty score0.706

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.037
GPT teacher head0.329
Teacher spread0.293 · 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 teacher head, 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

Citations63
Published2015
Admission routes2
Has abstractyes

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