Intensive Short-Term Dynamic Psychotherapy for Complex, Chronic, and Treatment-Resistant Conditions
Bibliographic record
Abstract
Over the past 50 years, intensive short-term dynamic psychotherapy (ISTDP) has been developed, implemented, and evaluated with respect to the treatment of a broad spectrum of complex, chronic, and treatment-resistant conditions. This therapy was developed specifically to treat a range of patients, including those who are highly defensive, those who experience the repression of emotions, and those who have cognitive-perceptual disruptions along with primitive defenses. These three groups of patients are characterized by patterns of attachment trauma and deficits related to neglect. Among the many categories of mental illness with these features that ISTDP can treat, personality disorders, treatment-resistant depression, and somatic symptoms have been the most frequently studied. In this article, the authors provide an overview of the ISTDP treatment method with regard to complex, chronic, and treatment-resistant conditions and summarize evidence for its effectiveness for diverse patient populations. On the basis of the available evidence, ISTDP warrants consideration as a tool for the management of diverse populations who have chronic and complex conditions and have not responded to other treatments.
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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 | 0.000 |
| 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".