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Record W2004772232 · doi:10.1177/0269881108093270

Treating each and every depressed patient

2008· review· en· W2004772232 on OpenAlexaff
Sidney H. Kennedy

Bibliographic record

VenueJournal of Psychopharmacology · 2008
Typereview
Languageen
FieldMedicine
TopicTreatment of Major Depression
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsAgomelatineTolerabilityAntidepressantDiscontinuationPlaceboMajor depressive disorderAnxietyMedicineRandomized controlled trialDepression (economics)PsychiatryInternal medicinePsychologyAdverse effectMood

Abstract

fetched live from OpenAlex

Major depressive disorder (MDD) is a prevalent condition with substantial heterogeneity in terms of clinical symptom profiles, overlapping syndromes and degree of severity. The challenge for any new antidepressant is to demonstrate efficacy across the spectrum of patient subpopulations with a diagnosis of MDD. The anxious depressed patient historically has a lower rate of response to traditional antidepressants and high pretreatment anxiety symptoms have also been shown to increase the risk of recurrence. In addition, severity based on standard antidepressant rating scale scores influences treatment outcomes. Some antidepressants display greater placebo separation at higher levels of severity while others fail to separate from placebo in more severe populations. Gender differences in antidepressant response have also been reported in several studies. In particular, women appear to experience a greater side-effect burden with current antidepressants. This is also important in treating late-life depression, where elderly patients are more prone to experiencing side effects and drug interactions. Despite the improved tolerability with SSRIs and other novel antidepressants, restoration of healthy sleep patterns has frequently been lacking. Finally, antidepressant efficacy must include demonstrated relapse prevention during placebo-controlled drug discontinuation trials. As a novel antidepressant with melatonin receptor agonist and 5HT(2C) antagonist properties, agomelatine has demonstrated efficacy in randomized placebo-controlled trials. Additional analyses support the benefits of agomelatine in anxious depression, increasing efficacy with greater baseline severity, including severe late-life depression. Agomelatine has also demonstrated favourable tolerability and efficacy in separate analyses of women and men and displays successful relapse prevention at doses 25 and 50 mg. Both subjective and polysomnographic measures of sleep support increased sleep efficiency and decreased awakenings during agomelatine treatment. Combining these efficacy data with favourable effects on sexual function, CNS and GI systems, there are grounds to endorse the view that agomelatine is a well-tolerated and efficacious antidepressant for a diverse range of depressed populations.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.963
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.042
GPT teacher head0.403
Teacher spread0.361 · 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 designNot applicable
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

Citations9
Published2008
Admission routes1
Has abstractyes

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