Group transdiagnostic cognitive-behavior therapy for anxiety disorders: a pragmatic randomized clinical trial
Bibliographic record
Abstract
Abstract Background Transdiagnostic group cognitive-behavioral therapy (tCBT) is a delivery model that could help overcome barriers to large-scale implementation of evidence-based psychotherapy for anxiety disorders. The aim of this study was to assess the effectiveness of combining group tCBT with treatment-as-usual (TAU), compared to TAU, for the treatment of anxiety disorders in community-based mental health care. Methods In a multicenter single-blind, two-arm pragmatic superiority randomized trial, we recruited participants aged 18–65 who met DSM-5 criteria for principal diagnoses of generalized anxiety disorder, social anxiety disorder, panic disorder, or agoraphobia. Group tCBT consisted of 12 weekly 2 h sessions. There were no restrictions for TAU. The primary outcome measures were the Beck Anxiety Inventory (BAI) and clinician severity rating from the Anxiety and Related Disorders Interview Schedule for DSM-5 (ADIS-5) for the principal anxiety disorder at post-treatment, with intention-to-treat analysis. Results A total of 231 participants were randomized to either tCBT + TAU (117) or TAU (114), with outcome data available for, respectively, 95 and 106. Results of the mixed-effects regression models showed superior improvement at post-treatment for participants in tCBT + TAU, compared to TAU, for BAI [ p < 0.001; unadjusted post-treatment mean ( s.d. ): 13.20 (9.13) v. 20.85 (10.96), Cohen's d = 0.76] and ADIS-5 [ p < 0.001; 3.27 (2.19) v. 4.93 (2.00), Cohen's d = 0.79]. Conclusions Our findings suggest that the addition of group tCBT into usual care can reduce symptom severity in patients with anxiety disorders, and support tCBT dissemination in routine community-based care.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 teacher head, 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".