MétaCan
Menu
Back to cohort
Record W108869947 · doi:10.1139/jpn.0615

Efficacy of escitalopram in the treatment of major depressive disorder compared with conventional selective serotonin reuptake inhibitors and venlafaxine XR: a meta-analysis

2006· article· en· W108869947 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueJournal of Psychiatry and Neuroscience · 2006
Typearticle
Languageen
FieldMedicine
TopicTreatment of Major Depression
Canadian institutionsUniversity of British Columbia HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsEscitalopramVenlafaxineSerotonin Uptake InhibitorsCitalopramMajor depressive disorderSerotoninReuptake inhibitorMeta-analysisMedicineAntidepressantPharmacologyPsychologyPsychiatryInternal medicineFluoxetineAnxietyMood

Abstract

fetched live from OpenAlex

OBJECTIVE: Escitalopram is the most selective of the selective serotonin reuptake inhibitor (SSRI) antidepressants. Previous studies have suggested that escitalopram is superior to citalopram in efficacy. We conducted a meta-analysis of studies in which escitalopram was compared with other antidepressants to assess the relative efficacy of these agents. METHODS: Data from all randomized, double-blind studies in major depression in which escitalopram was compared with active controls (citalopram, fluoxetine, paroxetine, sertraline and venlafaxine XR [extended release]) were pooled. The 10 studies were conducted in both specialist settings and general practice. Patients met the criteria of the Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV), for major depressive disorder and were at least 18 years old. In all but 2 studies, patients were required to have a score of 22 or more on the Montgomery-Asberg Depression Rating Scale (MADRS). The primary outcome measure was the estimated difference in treatment effect in MADRS total score at the end of the study. Secondary outcome measures were the response to treatment (defined as a > or = 50% reduction in baseline MADRS total score) and remission rate (defined as MADRS total score < or = 12 at end of study). RESULTS: A total of 2687 patients were included in the analyses (escitalopram n = 1345, conventional SSRIs n = 1102, venlafaxine XR n = 240). Escitalopram was superior to all comparators in overall treatment effect, with an estimated difference in treatment effect of 1.07 points (95% confidence interval [CI] 0.42-1.73, p < 0.01), and in response (odds ratio [OR] 1.29, 95% CI 1.07-1.56, p < 0.01) and remission (OR 1.21, 95% CI 1.01-1.46, p < 0.05) rates. In analysis by medication class, escitalopram was significantly superior to the SSRIs and comparable to venlafaxine, although the overall results do not necessarily reflect a significant difference between escitalopram and individual SSRIs. These results were similar in the severely depressed population (patients with baseline MADRS > or = 30). The withdrawal rate due to adverse events was 6.7% for escitalopram compared with 9.1% for the comparators (p < 0.05). CONCLUSIONS: In this meta-analysis, escitalopram showed significant superiority in efficacy compared with the active controls.

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.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.283

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.024
GPT teacher head0.293
Teacher spread0.268 · 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