MétaCan
Menu
Back to cohort

Comparison of venlafaxine extended release versus paroxetine for treatment of patients with generalized anxiety disorder

2006· article· en· W2031937662 on OpenAlexaff
TAE‐SUK KIM, Chi‐Un Pae, Sujung Yoon, Won‐Myong Bahk, Tae‐Youn Jun, Won-Ihl Rhee, Jeong‐Ho Chae

Bibliographic record

VenuePsychiatry and Clinical Neurosciences · 2006
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsSt. Paul's Hospital
Fundersnot available
KeywordsParoxetineClinical Global ImpressionVenlafaxineTolerabilityPlaceboGeneralized anxiety disorderPsychologyAnxietyRating scaleAdverse effectRepeated measures designAnxiety disorderInternal medicineAnesthesiaPsychiatryMedicineAntidepressant

Abstract

fetched live from OpenAlex

This trial was to evaluate the efficacy and tolerability of venlafaxine extended release (XR) and paroxetine for treatment of patients with generalized anxiety disorder (GAD). Sixty patients who met DSM-IV criteria for GAD were randomly assigned to either venlafaxine XR or paroxetine for 8 weeks. Efficacy was assessed with the Hamilton Rating Scale for Anxiety (HAM-A) and Clinical Global Impression-Severity of Illness (CGI-S) scale at the baseline, week 1, week 4, and week 8. The side-effects were collected with reported adverse events and laboratory tests throughout the study period. Repeated measures analysis of variance (ANOVA) on the HAM-A and CGI-S scores showed a significant decrease over time in both treatment groups without significant group difference or time x group interaction effect. There were no serious adverse events in both groups. This open trial demonstrated that either venlafaxine XR or paroxetine would be effective and tolerable for the treatment of patients with GAD. Double blind, placebo-controlled head-to-head comparison studies are needed to draw a definite conclusion.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.052
GPT teacher head0.412
Teacher spread0.360 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
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

Citations35
Published2006
Admission routes1
Has abstractyes

Explore more

Same venuePsychiatry and Clinical NeurosciencesSame topicAnxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesFrench-language works237,207