A real-world study of dupilumab in patients with atopic dermatitis including patients with malignancy and other medical comorbidities
Bibliographic record
Abstract
Background: Dupilumab is a monoclonal antibody approved for the treatment of moderate-to-severe atopic dermatitis (MtS-AD). Various clinical trials have established the effectiveness and safety of dupilumab for the treatment MtS-AD; however, the real-world experiences of patients treated with dupilumab with malignancy and other comorbidities are lacking. Objective: To assess the real-life effectiveness and safety of dupilumab in the treatment of MtS-AD within Canadian adult patient population, including those with other significant comorbidities such as malignancy. Methods: In this retrospective study, records of adult patients diagnosed with MtS-AD, with a Physician Global Assessment (PGA) score of 3 or 4, and treated with dupilumab for 52 weeks were reviewed and collected. Results: A total of 155 adult patients with atopic dermatitis (AD) treated with dupilumab were included in the study. Asthma was the most common comorbidity. One hundred twenty-three (80%) patients received either phototherapy and/or at least 1 systemic agent (methotrexate and cyclosporine) before initiation of dupilumab. PGA score of 0 or 1 was achieved by 64% of patients at week 52. Adverse effects including injection site reactions, ocular surface disease, facial and neck redness, and arthropathy occurred in 6%, 10%, 8%, and 6% of patients, respectively. Three patients continued receiving dupilumab throughout pregnancy, all maintaining PGA score of 0 or 1 with no impact on pregnancy, delivery, or the newborn. Twelve patients with prior or active malignancy were included, with no reported negative impact on malignancy. Conclusion: Dupilumab is an effective and safe option for patients with AD in real life, including patients with malignancy and other medical comorbidities.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".