A real-world study of dupilumab in patients with atopic dermatitis including patients with malignancy and other medical comorbidities
Why this work is in the frame
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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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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) | 0.000 | 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