Evaluation of the reconsolidation of traumatic memories protocol for the treatment of PTSD: a randomized, wait-list-controlled trial
Bibliographic record
Abstract
Introduction: The reconsolidation of traumatic memories (RTM) is a cognitive intervention for post-traumatic stress disorder (PTSD) believed to employ reconsolidation blockade with significant potential as a cost-effective and empirically supported treatment. This is the second empirical evaluation of the intervention. Methods: This study used a randomized wait-list-controlled design ( n=30) to examine the efficacy of three sessions of RTM among male Veterans having high symptom scores on the PTSD Symptom Scale Interview (PSS-I) and the PTSD Checklist – military version (PCL-M) with current-month flashbacks and nightmares. Of the 55 volunteers, 30 met inclusion criteria and participated in the study, 15 each were randomly assigned to treatment and control conditions. After completing a six-week wait period, control subjects also received the intervention. Results: Data analyses suggest that RTM was superior to control. There were significant pre-post treatment improvements across measures of PTSD. Gains were maintained at 6 and 12-month follow-ups. At six months post, within group RTM effect sizes (Hedges' g) ranged from 2.79 to 5.33. Further, at six months post, 88% of those treated had lost the DSM diagnosis for PTSD: 15% had lost DSM diagnosis (CPL-M<50 and DSM criteria not met) and 73% were in complete remission from all symptoms (PCL-M<30). Therapist competence and adherence to treatment protocols were both strong. Patient satisfaction with the intervention was high. Discussion: Study limitations and implications for the assessment and treatment of Veterans with PTSD are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| 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 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".