Predictors of Treatment Response in Canadian Combat and Peacekeeping Veterans With Military-Related Posttraumatic Stress Disorder
Bibliographic record
Abstract
Military-related posttraumatic stress disorder (PTSD) is a significant psychiatric condition associated with severe psychosocial dysfunction. This study examined the predictors of treatment outcome in a group of veterans with military-related PTSD. Participants were 102 Canadian combat and peacekeeping veterans who received treatment at a specialized outpatient clinic for veterans with psychiatric disorders resulting from military operation. Analysis demonstrated a significant decrease in PTSD severity during the 1-year period (Yuan-Bentler χ [86, N = 99] = 282.45, p < 0.001). We did not find chronicity, alcohol use, and anxiety or depression severity as significant predictors for PTSD symptom decline. However, initial depression significantly predicted anxiety symptom decline, and initial anxiety predicted depression symptom decline. This study demonstrated that, despite considerable comorbidity, significant treatment gains, including remission of PTSD, can be achieved in an outpatient setting in veterans with chronic military-related PTSD.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".