Bibliographic record
Abstract
As defined Hand eczema (HE) is a widespread dermatological condition that severely affects patients' quality of life where our This study sets out to analyze the demographic, clinical, and psychosocial characteristics of hand eczema patients in Iraq and designed according to A cross-sectional study conducted from January 2024 to January 2025 included 280 patients from Al-Najaf Teaching Hospital and Al-Sadr Teaching Hospital in Najaf Governorate, with Participants were 18 years old and above with a clinically established hand eczema diagnosis. Excluding conditions were given for active infection currently on immunosuppressants systemically, and complicated skin conditions in addition to Data were collected from structured interviews, medical records, clinical assessments to assess demographic and clinical information, psychological assessment, and quality of life by DLQI in addition to were Eczema severity was assessed by using the SCORAD index, through our outcomes found The average age of participants was 34.5 years (SD 11.2) moreover The most frequent types of eczema were irritant contact eczema (50.0%) and allergic contact eczema (32.1%), were also Upon assessment of severity, 42.9% were mildly affected, 39.3% moderately affected, and 17.8% severely affected while found also Psychological analysis revealed that 75% reported some anxiety or depression, with 28.6% experiencing moderate to severe symptoms in contrast Diabetes (OR 2.0), smoking (OR 1.8), and food allergen sensitivity (OR 1.6) were established through logistic regression as risk factors associated with an exacerbation of severity so finally The findings warrant increased research on the psychosocial aspect of eczema, with larger samples and randomization of great importance for validating the present study
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.537 | 0.222 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".