Contemporary Role of Topical Calcineurin Inhibitors: A Pediatric Dermatology Perspective
Bibliographic record
Abstract
Atopic dermatitis (AD) is the most common pediatric chronic inflammatory skin disease in North America, often involving complex treatment regimens and impairing the quality of life of affected children and their families. Two topical calcineurin inhibitors (TCIs) have been available for the treatment of AD in pediatric patients for more than 15 years, and they continue to represent an important steroid-sparing option for the management of AD. Despite the large body of evidence and extensive clinical experience with these agents, there remain concerns among parents and clinicians regarding the long-term safety of this class of therapy, particularly with respect to the boxed warning about the potential risk of lymphoma and malignancy associated with TCIs. Concerns about burning or stinging with initial applications are also common. This review examines the literature on the clinical effectiveness of TCIs, with a focus on the pivotal research that supports the efficacy of these agents, and the reassuring body of evidence supporting their long-term safety in pediatric patients. Practical recommendations for maximizing the utility of TCIs in pediatric patients, including discussion points to address with parents, are offered.
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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 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".