Assessment of Serum 25-Hydroxyvitamin D Levels in Children with Atopic Dermatitis
Bibliographic record
Abstract
BACKGROUND: Atopic dermatitis (AD) is a chronic inflammatory skin disorder with an immunologic basis. It may have negative medical and social impacts on a patient and his family. OBJECTIVES: To assess serum level of vitamin D among children with AD and determine its association with AD severity using the AD Scoring System Index. STUDY DESIGN: A case-control study. PATIENTS AND METHODS: Twenty-nine patients with AD in the age group between 2 and 12 years were enrolled in the study. The severity of the disease was determined by the AD scoring system. Thirty controls were recruited. Serum levels of 25-hydroxyvitamin D3 [25(OH)D3] were tested using commercial automated chemiluminescent microparticle immunoassay. RESULTS: The mean value of vitamin D in children with AD was much lower than normal value, and there was a significant difference in the mean values of vitamin D between children with AD (5.4±1.9 ng/mL) and the controls (28.9±2.4 ng/mL). Serum 25(OH)D levels were found to be significantly higher in mild AD (14.6±3.5 ng/mL) compared with moderate (5.5±3.1 ng/mL) or severe AD (0.3±0.1 ng/mL); P<0.001. CONCLUSION: Patients with AD have lower serum vitamin D levels than normal. Vitamin D deficiency might be related to the severity of AD.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".