Outcome Trajectories and Prognostic Factors for Suicide and Self-Harm Behaviors in Patients With Borderline Personality Disorder Following One Year of Outpatient Psychotherapy
Bibliographic record
Abstract
This study examined suicide and self-harm trajectories in 180 individuals with BPD receiving dialectical behavior therapy or general psychiatric management in a randomized controlled trial. Suicide and self-harm behaviors were assessed at baseline, every four months throughout treatment, and every 6 months over 2 years of follow-up. Latent class growth mixture modeling identified suicide and self-harm trajectories. Multinomial logistic regression analyses examined baseline patient characteristics. Three latent subgroups were identified. The largest responded rapidly to treatment and sustained a favorable response post-discharge. The second progressed slowly during treatment but achieved and maintained a favorable response. A third subgroup showed a rapid favorable response during treatment, however symptoms returned to near baseline levels post-discharge. This third subgroup had higher baseline depression, emergency department visits, and unemployment. BPD patients with high baseline health care utilization, depression, and unemployment may benefit from modifications to treatment specifically targeting these issues.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".