The extended-release formulation of quetiapine fumarate (quetiapine XR) adjunctive treatment in partially responsive generalized anxiety disorder (GAD): An open label naturalistic study.
Bibliographic record
Abstract
AIMS: To assess the effect of adjunctive treatment with extended-release formulation of quetiapine fumarate (quetiapine XR) to other antidepressants in the treatment of partially responsive, poorly functioning patients with generalized anxiety disorder was assessed. MATERIALS AND METHODS: Twenty four consenting adult outpatients with confirmed DSM-IV diagnosis of generalized disorder were identified. All patients failed at least one 8-week treatment trial with SSRI or SNRI antidepressant. All were treated with quetiapine XR as an add on treatment to citalopram or vanlafaxine antidepressant for at least 12 weeks. The primary efficacy measure was the Clinical Global Impression Scale (CGI-S). Other scales included; the Hamilton Anxiety Scale (HAM-A) scale, Sheehan Disability Scale, and the Abnormal Involuntary Movement Scale (AIMS). Baseline measures prior to adding quetiapine XR were compared to those at 4, 8 and 12 weeks with the adjunctive treatment. RESULTS: Twenty three patients completed the trial. There was significant rapid resolution of the anxiety symptoms in all effectiveness measures, including the symptoms of anxiety as shown by changes from baseline in HAM-A, and CGI at four weeks. Improvement was maintained to week twelve. Impairments in work, social, and home responsibilities were also reduced significantly, and there were no significant changes in weight at 12 weeks. Patients tolerated the adjunctive treatment well. CONCLUSION: Quetiapine XR may have anxiolytic properties and could be used effectively as adjunctive treatment with SSRIs in GAD patients with partial response to SSRs or SNRISs. However double blind randomized trials are needed to support these results.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".