Alexithymia, suicide ideation, affective temperaments and homocysteine levels in drug naïve patients with post-traumatic stress disorder: an exploratory study in the everyday 'real world' clinical practice
Bibliographic record
Abstract
Alexithymia, suicide ideation, affective temperaments and homocysteine levels in drug naïve patients with post-traumatic stress disorder: an exploratory study in the everyday ‘real world’ clinical practice Objective: The present exploratory study aimed to investigate relationships between alexithymia, suicide ideation, affective temperaments and homocysteine levels among drug-naïve adult outpatients with Post- Traumatic Stress Disorder (PTSD) in an everyday ‘real world’ clinical setting. Method: Sixty-four adult outpatients with PTSD were evaluated using the Davidson Trauma Scale (DTS), the Toronto Alexithymia Scale (TAS–20), the Scale of Suicide Ideation (SSI), the Temperament Evaluation of the Memphis, Pisa, Paris and San Diego-Autoquestionnaire. As well, homocysteine levels were measured. Results: Alexithymic subjects showed higher values on all scales but not homocysteine levels. Partial correlations showed that almost all studied variables were correlated with each other, except homocysteine levels. Regression analysis showed that higher disorder severity as measured by DTS and TAS-20 ‘Difficulty in Identifying Feelings’ dimension was associated with higher SSI scores. Conclusions: In conclusion, alexithymic PTSD outpatients may be characterised by higher disorder severity and difficulty in identifying feelings that may be linked to increased suicide ideation, regardless of affective temperaments or homocysteine levels. Homocysteine levels were not related to any studied variable. However, study limitations are discussed and must be considered.
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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) | 0.001 | 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".