Quality of life, emotion dysregulation, attention deficit and psychiatric comorbidity in children and adolescents 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: Vitiligo is an acquired pigmentation disorder, which can have a negative effect on patient quality of life (QoL). AIM: To evaluate QoL and psychiatric comorbidity in paediatric patients with vitiligo. METHODS: In total, 30 patients aged 8-18 years who were diagnosed with vitiligo and 30 age- and sex-matched healthy controls (HCs) were included in the study. The Children's Depression Inventory, Screen for Child Anxiety Related Disorders, State-Trait Anxiety Inventory for Children and Child Somatization Inventory were completed for both patients and controls. The Schedule for Affective Disorders and Schizophrenia for School Age Children-Present and Lifetime Version (K-SADS-PL) was administered to all patients by a child psychiatrist. Families were also asked to complete the Pediatric Quality of Life Inventory and Emotion Regulation Checklist for children. RESULTS: The K-SADS-PL evaluation showed that 90% of the patients in the vitiligo group had at least one psychiatric diagnosis, whereas this rate was 20% in the HCs (P < 0.001). There were statistically significant differences between vitiligo and HCs in terms of anxiety, state and trait anxiety scores (P < 0.05). Attention deficit and hyperactivity disorder (ADHD) was detected in 36.6% of the patients. CONCLUSION: The most important finding of this study is that anxiety disorders are more prominent than depression in childhood vitiligo. Another important finding of this study is that the prevalence of ADHD is significantly higher than the normal population.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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