Alexithymia And Behçet’s Disease
Bibliographic record
Abstract
Objective: Behçet’s Disease (BD) is an immunoinflammatory systemic disease. In young adults, it is seen as genital ulceration, uveitis and oral aphthae. In some patients, BD may affect the central nervous system and some psychiatric symptoms may accompany this disease. There are few studies in the literature evaluating the relationship between BD and alexithymia. In this study, the relationship between BD and alexithymia is evaluated. Methods: Fifty patients diagnosed according to the International Study Group for Behçet’s Disease diagnostic criteria and fifty age and gender-matched healthy individuals were included in the study. Turkish versions of Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), and Toronto Alexithymia Scale (TAS-20) were applied to the patients and controls. Results: According to the TAS-20 scale, alexithymia was classified as: non-alexithymia, moderate and severe alexithymia. In the classification of TAS, there was a significant difference between the cases and the control group (p = 0.019).In patients with BD, alexithymia was 6 times higher than control group (OR = 6.139)(95% CI = 1,657-23.913). Conclusions: Behçet’s disease is strongly associated with alexithymia. Recognizing of these psychiatric symptoms is important for the management of BD patients. Psychotherapeutic interventions should be planned by dermatologists.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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".