Comparative Study of Quality of Life and Obsessive-Compulsive Tendencies in Patients With Chronic Hand Eczema and Lichen Simplex Chronicus
Bibliographic record
Abstract
BACKGROUND: Lichen simplex chronicus (LSC) and chronic hand eczema (CHE) are 2 common dermatological disorders that affect physical, social, and psychological aspects of life. The aim of this study was to compare quality of life and obsessive-compulsive tendencies between patients with LSC and patients with CHE. MATERIALS AND METHODS: Sixty patients with LSC, 60 patients with CHE, and 60 healthy controls were included in the study. Quality of life was evaluated according to the Dermatology Life Quality Index (DLQI). Patients were also assessed for compulsive behavior with the Leyton Trait Scale. RESULTS: Patients with LSC (13.00 [1.41]) had a statistically significant higher mean (SD) DLQI compared with patients with CHE (11.33 [1.53]). Patients with LSC (13.97 [2.14]) presented statistically significant higher levels of obsessive-compulsive personality traits than patients with CHE (12.48 [2.69]), whereas both groups also differed from the healthy controls (10.68 [3.87]). The DLQI was not correlated with the Leyton Trait Scale in either the patients with LSC (r = 0.10, P = 0.50, not significant [NS]) or in the CHE patients (r = 0.01, P = 0.92, NS). CONCLUSIONS: Although both LSC and CHE are associated with impaired quality of life and obsessive-compulsive tendencies, significantly higher scores were recorded in patients with LSC.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".