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Record W1558149471 · doi:10.1002/hup.2294

Efficacy of the novel antidepressant agomelatine for anxiety symptoms in major depression

2013· article· en· W1558149471 on OpenAlexaff
Dan J. Stein, F. Picarel-Blanchot, Sidney H. Kennedy

Bibliographic record

VenueHuman Psychopharmacology Clinical and Experimental · 2013
Typearticle
Languageen
FieldMedicine
TopicTreatment of Major Depression
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsAgomelatineAntidepressantDepression (economics)AnxietyPsychologyPsychiatryMedicineClinical psychologyPsychotherapist

Abstract

fetched live from OpenAlex

OBJECTIVES: Anxiety in major depression is associated with increased morbidity. The antidepressant, agomelatine, which acts as an agonist at melatonin MT(1) and MT(2) receptors and as an antagonist at serotonin 5-HT(2C) receptors, has demonstrated efficacy and safety in both major depression and generalized anxiety disorder. Here, we investigated the efficacy of agomelatine in anxious depression. METHODS: Data from three placebo-controlled short-term trials of agomelatine and three comparative studies of agomelatine versus fluoxetine, sertraline, and venlafaxine were pooled. Effects of agomelatine on anxiety symptoms were assessed with the Hamilton Anxiety Rating Scale in four studies (one vs placebo and three vs active comparator) and with the Hamilton Depression Rating Scale (HAMD) anxiety subscore in all six studies. Anxiolytic and antidepressant efficacies of agomelatine were assessed in patients with more severe anxiety symptoms at baseline (score ≥5 on HAMD anxiety subscore). RESULTS: Agomelatine had a significantly greater effect on anxiety symptoms than both placebo and a number of comparator antidepressants. In more anxious depressed patients, agomelatine had a significantly greater effect on anxiety and depressive symptoms than both placebo and comparator antidepressants. CONCLUSION: Once-a-day oral agomelatine is a new, efficacious alternative option for the treatment of anxiety in patients with major depression.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.440
Threshold uncertainty score0.532

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.039
GPT teacher head0.412
Teacher spread0.374 · 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 designObservational
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

Citations223
Published2013
Admission routes1
Has abstractyes

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