Dupilumab: an evidence-based review of its potential in the treatment of atopic dermatitis
Bibliographic record
Abstract
Introduction: Atopic dermatitis (AD) is a recurrent, pruritic inflammatory skin disease with complex immunopathogenesis characterized by a dominant T H 2 response. Dupilumab is an interleukin (IL)-4 receptor alpha antagonist that subsequently blocks IL-4 and IL-13 signaling. It has recently been approved for the treatment of adult patients with moderate-to-severe AD whose current treatment options are limited. Aim: This article reviews the evidence of clinical efficacy, safety, and patient-reported outcome (PRO) measures from Phase I–III trials of dupilumab in adult patients with moderate-to-severe AD. Evidence review: Results from clinical trials of dupilumab in adults with moderate-to-severe AD have shown that weekly or biweekly dupilumab injections significantly improve clinical and PROs. Transcriptome and serum analyses also found that dupilumab significantly modulates the AD molecular signature and other T H 2-associated biomarkers, compared with placebo. Additionally, concomitant use of dupilumab with topical corticosteroids (TCS) results in a greater improvement in signs and symptoms of AD than with dupilumab use alone. Throughout the trials, common adverse events were headaches, conjunctivitis, and injection site reactions. These were consistently mild–moderate and occurred with similar frequency between the treatment and placebo groups. Place in therapy: In adult patients with moderate-to-severe refractory AD, monotherapy or concomitant use of dupilumab with TCS holds great promise to significantly improve clinical outcomes and quality of life of the patient. Ongoing studies of dupilumab will help determine the clinical efficacy and safety profile of its long-term use. Finally, further economic evidence is warranted to compare the long-term costs and benefits of dupilumab with other currently available treatments for moderate-to-severe AD. Keywords: moderate-to-severe atopic dermatitis, biologics, systemic therapy, interleukin-4, interleukin-13, dupilumab
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".