Identification of categories at risk for high quality of life impairment in patients with vitiligo
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Quality of life (QoL) in patients with vitiligo is strongly impaired. Therefore, it seems inadequate to describe the severity of the disease using only physical indicators. OBJECTIVES: To investigate the QoL of patients with vitiligo, identifying categories at risk for high impairment, also analysing single questions from a QoL instrument. METHODS: The Skindex-29 questionnaire, a QoL dermatology-specific instrument, was completed by 181 consecutive patients with vitiligo. Answers to the Skindex-29 items were given on a five-point scale, from 'never' to 'all the time'. Results The QoL problems more frequently experienced 'often' or 'all the time' were: worry of the disease getting worse (60%), anger (37%), embarrassment (34%), depression (31%), having social life affected (28%), and shame (28%). The prevalence of patients with probable depression or anxiety, evaluated using the 12-item General Health Questionnaire, was 39%, and the prevalence of patients with alexithymia, evaluated using the 20-item Toronto Alexithymia Scale, was 24%. The association of QoL impairment with psychological problems was very strong for all the items, and remained significant also when taking into account simultaneously gender, age, clinical severity, family history, and localization of vitiligo. CONCLUSIONS: Detailed information on QoL in patients with vitiligo may lead dermatologists to pay particular attention to patient categories at risk for a high QoL impairment.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 it