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Record W2018844590 · doi:10.1586/14737175.2013.846520

The role of extended-release quetiapine fumarate monotherapy in the treatment of patients with major depressive disorder

2013· review· en· W2018844590 on OpenAlexaff
Richard H. Weisler, Roger S. McIntyre

Bibliographic record

VenueExpert Review of Neurotherapeutics · 2013
Typereview
Languageen
FieldMedicine
TopicTreatment of Major Depression
Canadian institutionsToronto Western HospitalUniversity Health Network
FundersAstraZeneca
KeywordsQuetiapineQuetiapine FumarateTolerabilityEscitalopramMajor depressive disorderPlaceboSomnolenceAdverse effectAtypical antipsychoticMedicineInternal medicineAntidepressantAripiprazolePsychiatryPsychologyAntipsychoticMoodSchizophrenia (object-oriented programming)Anxiety

Abstract

fetched live from OpenAlex

Pharmacotherapy, psychotherapy and other nonpharmacological interventions are used in patients with major depressive disorder (MDD). However, 50% of the patients with MDD fail to achieve a response to first-line antidepressant treatment. In four of five acute monotherapy studies, once-daily extended-release quetiapine fumarate (quetiapine XR) significantly improved depressive symptoms compared with placebo in patients with MDD. One acute monotherapy study demonstrated that neither quetiapine XR nor escitalopram had a statistically significant separation from placebo on the primary endpoint. Quetiapine XR maintenance therapy also significantly reduced the risk of recurrence of a depressive event. No significant improvement in overall quality of life was observed versus placebo except in the acute elderly study. Tolerability findings were consistent with the known pharmacological profile of quetiapine; the most common adverse events were dry mouth, sedation, somnolence and dizziness. Quetiapine XR monotherapy has been approved as a treatment for MDD in a limited number of countries.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.982
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.025
GPT teacher head0.341
Teacher spread0.316 · 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.

Study designOther design
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

Citations8
Published2013
Admission routes1
Has abstractyes

Explore more

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