A Pilot Study of the Efficacy of the Unified Protocol for Transdiagnostic Treatment of Emotional Disorders in Treating Posttraumatic Psychopathology: A Randomized Controlled Trial
Bibliographic record
Abstract
The Unified Protocol for Transdiagnostic Treatment of Emotional Disorders (UP) is an intervention that targets common mechanisms that maintain symptoms across multiple disorders. The UP has been shown to be effective across many disorders, including generalized anxiety disorder, major depressive episode (MDE), and panic disorder, that commonly codevelop following trauma exposure. The present study represented the first randomized controlled trial of the UP in the treatment of trauma-related psychopathology, including posttraumatic stress disorder (PTSD), depression, and anxiety symptoms. Adults (N = 43) who developed posttraumatic psychopathology that included PTSD, MDE, or an anxiety disorder after sustaining a severe injury were randomly assigned to receive 10-14 weekly, 60-min sessions of UP (n = 22) or usual care (n = 21). The primary treatment outcome was PTSD symptom severity, with secondary outcomes of depression and anxiety symptom severity and loss of diagnosis for any trauma-related psychiatric disorder. Assessments were conducted at intake, posttreatment, and 6-month follow-up. Posttreatment, participants who received the UP showed significantly larger reductions in PTSD, Hedges' g = 1.27; anxiety, Hedges' g = 1.20; and depression symptom severity, Hedges' g = 1.40, compared to those receiving usual care. These treatment effects were maintained at 6-month follow-up for PTSD, anxiety, and depressive symptom severity. Statistically significant posttreatment loss of PTSD, MDE, and agoraphobia diagnoses was observed for participants who received the UP but not usual care. This study provides preliminary evidence that the UP may be an effective non-trauma-focused treatment for PTSD and other trauma-related psychopathology.
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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 | 0.016 | 0.022 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".