Effects of three PTSD treatments on anger and guilt: Exposure therapy, eye movement desensitization and reprocessing, and relaxation training
Bibliographic record
Abstract
This study sought to investigate the efficacy of prolonged exposure, eye movement desensitization and reprocessing, and relaxation training on trait anger and guilt and on trauma-related anger and guilt within the context of posttraumatic stress disorder (PTSD) treatment. Fifteen PTSD patients completed each treatment and were assessed at posttreatment and at 3-month follow-up. All three treatments were associated with significant reductions in all measures of anger and guilt, with gains maintained at follow-up. There were no significant treatment differences in efficacy or in the proportion of patients who worsened on anger or guilt measures over the course of treatment. Between-treatment effect sizes were generally very small. Results suggest that all three treatments are associated with reductions in anger and guilt, even for patients who initially have high levels of these emotions. However, these PTSD therapies may not be sufficient for treating anger and guilt; additional interventions may be required.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".