Tolerability of and Adherence to Topical Treatments in Atopic Dermatitis: A Narrative Review
Bibliographic record
Abstract
Atopic dermatitis (AD) is a common, chronic inflammatory skin disease that oftentimes requires complex therapy. Poor adherence is a major barrier to AD treatment success. An interspecialty, virtual roundtable panel was held, through which clinical dermatologists, allergists, and behavioral and social psychologists discussed AD management and adherence. Relevant literature was reviewed, and the content of this article was organized based on the roundtable discussion. Current guidelines for AD treatment include maintenance and acute therapy for mild-to-severe AD. Therapy is often complex and requires significant patient involvement, which may contribute to poor treatment adherence. Behavioral and social psychology strategies that may help improve adherence include scheduling timely follow-up appointments, using a clearly written eczema action plan (EAP), reducing perceived treatment burden, utilizing anchoring techniques, sharing anecdotes, and rewarding children using positive reinforcement and stickers. There are multiple practical ways by which providers can improve both the management and treatment adherence of patients with AD.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".