Atopic Dermatitis Part 1: Pathophysiology, Clinical Manifestations, and Associations
Bibliographic record
Abstract
Atopic dermatitis (AD), or eczema, is a common, chronic inflammatory skin condition resulting in recurrent flares of itch and rash. This review discusses current literature regarding epidemiology, pathophysiology, etiology, comorbidities, clinical presentation, and impact on quality of life with the goal of addressing common gaps in understanding. Onset is usually early in life, but it is not uncommon to persist into adulthood, despite a common assumption that children outgrow AD. The primary drivers of its pathophysiology are skin barrier dysfunction and immune dysregulation, which are complex and interrelated. The etiology is influenced by genetic, microbial, immunological, and possibly environmental factors. A notable predictor of AD is a family history of atopic disease. Comorbidity with other atopic diseases including asthma and food allergies is common. Nonatopic comorbidities common in AD include autoimmune conditions and psychiatric diseases. Clinical manifestations include the almost universal feature of pruritus, which can be seen without rash. Rash can include classic dermatitis, but other morphologies including those more common in patients with skin of color should be recognized. Complications such as secondary infection are common, often related to the complex role Staphylococcus aureus plays in AD. Living with AD places a significant burden on the patient's quality of life including significant impacts on sleep. Assessment of severity includes assessing itch severity and impact on quality of life. Tools such as a numeric rating scale for itch severity may be useful in clinical practice.
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How this classification was reachedexpand
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".