Treatments for generalized anxiety disorder
Bibliographic record
Abstract
Generalized anxiety disorder is characterized by excessive chronic anxiety in association with many somatic symptoms. The disorder has pervasive effects on quality of life, including work, social and educational aspects and requires long-term therapy. Available studies in patients are the Diagnostic and Statistical Manual of Mental Disorders, third edition-revised and fourth edition, which have defined generalized anxiety disorder and demonstrate the efficacy of benzodiazepines, azapirones, some antidepressants and psychotherapy. Benzodiazepines are effective anxiolytics for short-term use but are accompanied by many adverse events. The antidepressants, paroxetine and venlafaxine (Efexor), have demonstrated efficacy in patients with generalized anxiety disorder with mild side-effect profiles. They have the additional benefit of efficacy in depression, which frequently occurs comorbidly in these patients. Long-term efficacy has been shown with venlafaxine in the treatment of this chronic condition, confirming that as in depression, the goal must not just be remission beyond simple symptom resolution but also on to improved functioning and quality of life. Psychotherapy with applied relaxation, cognitive therapy and cognitive behavioral therapy show the most promise in resolving and maintaining treatment gains in the long-term. These approaches may be useful alone or in combination with adjunctive pharmacotherapy to achieve remission. Based on current evidence, the recommended approach to achieving long-term benefits for patients with generalized anxiety disorder is antidepressant therapy with paroxetine or venlafaxine in combination with cognitive behavioral therapy.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.004 |
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".