Alexithymia affects patients with hidradenitis suppurativa
Bibliographic record
Abstract
BACKGROUND: Hidradenitis suppurativa (HS) is a chronic inflammatory skin disease that impairs patients' quality of life. Various psychiatric or psychological conditions have been associated with HS, however, no data are available on alexithymia, a psychological construct characterized by the inability to express, describe, and recognize feelings. OBJECTIVES: To assess the presence of alexithymia in HS patients. MATERIALS & METHODS: Demographic and clinical data from patients with HS were collected. Alexithymia was assessed using the Toronto Alexithymia Scale (TAS)-20 questionnaire to define non-alexithymic subjects (scoring 20-50), borderline (possible) alexithymia subjects (scoring 51-60), and alexithymic subjects (scoring ≥61). The alexithymic personality trait is identified based on TAS-20 score ≥51. RESULTS: This multicentre study included 86 HS patients, 100 obese individuals, and 85 healthy control subjects. The mean TAS-20 score was significantly higher in the HS patient cohort (55.37 ±13.42) than in the control group (40.96±10.47) (p<0.001). Compared to the healthy and obese control groups, the prevalence of alexithymic personality trait in HS patients was 61.6% versus 21.95% and 32%, respectively (p<0.001). Of the HS patients, 37.2% were classified as alexithymic and 24.4% as borderline alexithymia. CONCLUSIONS: This is the first study in which an association between HS and alexithymia has been reported, expanding the spectrum of psychological disorders associated with HS.
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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 | 0.001 |
| 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) | 0.002 | 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".