Borderline-Störung: Behandlungsempfehlungen der SGPP
Bibliographic record
Abstract
With 10% in outpatient and 15–25% in inpatient psychiatric care, borderline personality disorder (BPD) is the most clinically relevant personality disorder. There are special treatment difficulties, in the form of self-injury, suicidality, interpersonal problems and comorbid mental illness. Valid diagnosis and early treatment (as early as adolescence) are of particular importance for the prognosis. Treatment guidelines for BPD have been developed in several countries. Only a small proportion of patients, however, receive appropriate treatment. One possible reason for the failure of research results to transfer into practice is that only a few practical recommendations can be derived because of the strict focus of the guidelines on the quality of evidence. For the treatment recommendations of the Swiss Society for Psychiatry and Psychotherapy (SGPP), an extended approach was therefore adopted. On the basis of a synthesis of scientific evidence and good clinical practice, an expert consensus combines the best possible specific statements to optimise the care of patients with BPD in Switzerland. This article summarises the key recommendations.
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 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 | 0.038 | 0.071 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".