Alexithymia and Plaque Psoriasis: Preliminary Investigation in a Clinical Sample of 250 Patients
Bibliographic record
Abstract
BACKGROUND/AIMS: Psoriasis as a dermatological disorder has complex effects on mental health and the psychological status of the patient. Many authors proposed that assessing how psoriasis affects a patient's life is better than a body surface area measurement for delineating psoriasis severity. Alexithymia is a personality dimension characterized by difficulty identifying feelings, difficulty describing feelings, and externally oriented thinking observed in many clinical conditions, especially in psychosomatic disorders. This study aimed to determine the prevalence of alexithymia in patients with plaque psoriasis compared with healthy participants, while taking into consideration demographic and clinical variables. METHODS: We enrolled 250 patients with chronic plaque psoriasis, naïve to any systemic treatment, and 215 healthy individuals. The 20-item Toronto Alexithymia Scale (TAS-20) was used to assess alexithymia. Data analysis was done. RESULTS: The mean TAS score was 53.5 (±15.3) for the patient group and 45.1 (±10.8) for controls (p < 0.0001). Compared to controls, the psoriasis group showed significant alexithymic features (32.4 vs. 9.3%), and no significant differences of alexithymia between patients with severe and mild psoriasis were observed. A significant relationship was determined between alexithymia and female gender and sensitive area involvement, such as the face, hands, and genital area. CONCLUSION: This study suggests that the assessment of alexithymia should be a part of the comprehensive care of patients with moderate to severe psoriasis. For this purpose, the TAS-20 is a useful and simple tool to be used in daily clinical practice.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".