Impact of group transdiagnostic cognitive‐behavior therapy for anxiety disorders on comorbid diagnoses: Results from a pragmatic randomized clinical trial in primary care
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Anxiety and depressive disorders are the most common mental illnesses worldwide, with most individuals meeting criteria for more than one diagnosis. Most cognitive-behavioral therapy (CBT) approaches target only one disorder at a time, resulting in the need to treat comorbid diagnoses sequentially. Transdiagnostic CBT protocols have been developed that simultaneously treat principal and comorbid disorders. METHOD: The current study reports on a secondary analysis of data from a pragmatic effectiveness randomized trial of group tCBT in comparison to treatment-as-usual (TAU) in primary care. Of the trial sample of 231 patients, 191 had at least one comorbid diagnosis of clinical severity at T0. RESULTS: Overall rates of comorbidity decreased over time (82.0% at T0, 45.0% at T1, 45.7% at T3) and those receiving tCBT showed a significantly lower rate of comorbidity at T1 (33.7%) than TAU (55.7%) and at T3 (tCBT: 27.9%, TAU: 60.2%). Comorbid diagnosis severity ratings reduced to a significantly greater extent in tCBT than in TAU. CONCLUSIONS: tCBT is effective in promoting remission of and reducing the severity of comorbid diagnoses. Implications for the treatment of whole persons as opposed to specific diagnoses is discussed.
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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 | 0.001 | 0.004 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it