Demographics of US Pediatric Contact Dermatitis Registry Providers
Bibliographic record
Abstract
BACKGROUND: Children are as likely as adults to be sensitized and reactive to contact allergens. However, the prevailing data on pediatric allergic contact dermatitis are quantitatively and qualitatively limited because of a narrow geographic localization of data-reporting providers. OBJECTIVE: The aim of the study was to present the first quarter results from the Loma Linda Pediatric Contact Dermatitis Registry focused on registered providers who self-identified as providing care for pediatric allergic contact dermatitis (ACD) within the United States. METHODS: The US providers were invited to join the registry via completion of an online, secure, 11-question registration survey addressing demographics and clinical practice essentials. The presented results reflect data gathered within the first quarter of registry recruitment; registration is ongoing. RESULTS: Of 169 responders from 48 states, the majority of providers were female (60.4%), academic (55.6%), and dermatologists (76.3%). Based on individual provider averages, the minimum cumulative number of pediatric patch-test evaluations performed each year ranged between 1372 and 3468 children. CONCLUSIONS: The Pediatric Contact Dermatitis Registry provides a description of the current leaders in the realm of pediatric ACD and gaps, which are in need of attention. The registry allows for a collaborative effort to exchange information, educate providers, and foster investigative research with the hope of legislation that can reduce the disease burden of ACD in US children.
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How this classification was reachedexpand
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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".