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Comparison of SSRIs and SNRIs in major depressive disorder: a meta-analysis of head-to-head randomized clinical trials

2009· review· en· W2121484633 on OpenAlexaff
M Machado, Thomas R. Einarson

Bibliographic record

VenueJournal of Clinical Pharmacy and Therapeutics · 2009
Typereview
Languageen
FieldMedicine
TopicTreatment of Major Depression
Canadian institutionsUniversity of TorontoToronto Public Health
Fundersnot available
KeywordsMeta-analysisRandomized controlled trialHead (geology)MedicineClinical trialPhysical medicine and rehabilitationInternal medicineGeology

Abstract

fetched live from OpenAlex

CONTEXT: Controversy exists whether serotonin-norepinephrine reuptake inhibitors (SNRIs) have improved efficacy compared with selective serotonin reuptake inhibitors (SSRIs). OBJECTIVE: To compare clinical outcomes of adults treated with SSRIs or SNRIs for major depressive disorder (MDD) under ideal clinical condition, research design, and outcome measure. DATA SOURCES: Electronic databases searched were Medline, Embase and Cochrane Library from inception to July 2007. STUDY SELECTION: Included studies were those head-to-head randomized trials comparing remission (HAMD-17 <or=7-8, MADRS <or=10-12) after 8-12 weeks of therapeutic doses of SSRIs or SNRIs in patients diagnosed with MDD were targeted for analysis. Reviews, letters, commentaries, economic studies, etc. were excluded. Studies were reviewed by two independent researchers. Where disagreements occurred in study selection, a consensus approach was used. DATA EXTRACTION AND ANALYSIS: Targeted outcome data included number of patients achieving remission, withdrawing from therapy due to lack of efficacy (LoE) and/or adverse drug reactions (ADRs), and total patients in trial. A random effects model combined intent-to-treat (ITT) and per-protocol (PP) odds ratio (OR), and remission and dropout rates. Chi-square assessed heterogeneity. Quality assessment was done using Downs-Black checklist. RESULTS: Thirty-three studies were identified; 18 were rejected (patients had co-morbidities in 7, outcomes differed in 5, different follow-up in 3, and three reviews). Fifteen head-to-head trials of 3094 patients, average age was 41.9 +/- 11.9 years (for SNRIs) and 41.6 +/- 12.1 years (for SSRIs), P = 0.941. All analyses displayed non-heterogeneity (P > 0.05). The OR (under ITT) was 1.27 (1.06-1.52 95% CI) favoring SNRIs. Meta-analytic remission rates were 48.5 +/- 3.2% and 41.9 +/- 4.2% for SNRIs and SSRIs, respectively. The meta-analytic difference in remission rates between drugs was 5.7% (P = 0.007). Dropout rates due to ADRs were higher with SNRIs than SSRIs (3.2% difference, P < 0.001). Dropout rates due to LoE were non-significant between studied groups (P > 0.05). CONCLUSIONS: Serotonin and norepinephrine reuptake inhibitors showed statistical but not clinical significance when compared with SSRIs in treating MDD.

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)0.028
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesMeta-epidemiology (broad)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.719
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0280.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0390.013
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.644
GPT teacher head0.660
Teacher spread0.015 · 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; both teacher heads agree on what is shown here.

Study designMeta-analysis
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

Citations50
Published2009
Admission routes1
Has abstractyes

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