Alexithymia as a predictor of outcome of psychodynamically oriented inpatient treatment
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This naturalistic study aimed to determine whether the initial degree of alexithymia can predict treatment outcome of psychodynamically oriented multimodal therapy. The Toronto Alexithymia Scale-26, the Global Severity Index (GSI), and the Depression subscale of the Symptom Checklist-90-Revised were administered at hospital admission and at discharge to 480 inpatients with various psychological disorders. GSI and depressive symptoms decreased significantly during treatment. High initial alexithymia total scores significantly predicted treatment outcome, especially in patients with somatoform disorders. Difficulties in verbalizing feelings had the strongest association with less favourable symptom improvement. Although significant, the predictive values were relatively small, and patients with alexithymia indeed benefited from therapy. Implications of these results are discussed for the specificity of disorders and therapeutic approach.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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 it