Tolerability of and Adherence to Topical Treatments in Atopic Dermatitis: A Narrative Review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 it