Diagnosis and Management of Atopic Dermatitis for Primary Care Providers
Bibliographic record
Abstract
OBJECTIVE: To provide primary care providers an up-to-date approach to the diagnosis and management of atopic dermatitis (AD). QUALITY OF EVIDENCE: PubMed, Cochrane, and MEDLINE databases were searched for relevant meta-analyses, randomized controlled trials, systematic reviews, and observational studies about the diagnosis and management of AD. MAIN MESSAGE: AD is a common chronic skin disease characterized by immune dysregulation and skin barrier dysfunction. It has a substantial impact on quality of life across all ages. Despite this, AD is often still undertreated due to inaccurate diagnoses, even by many experienced dermatologists. Many primary care providers may not be aware of its commonly associated medical and psychiatric comorbidities or be familiar with new treatment options. CONCLUSION: In this clinical review, we describe the pathophysiology, epidemiology, diagnosis, and treatment of AD, specifically highlighting commonly used therapies and novel medications.
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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) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".