Drug survival and safety of biosimilars for treating psoriasis compared with originator adalimumab: a multinational cohort study
Bibliographic record
Abstract
BACKGROUND: The lack of evidence from routine clinical settings has limited the widespread adoption of adalimumab biosimilars for the treatment of psoriasis. OBJECTIVES: To compare the drug survival and safety of adalimumab biosimilars with Humira® in psoriasis. METHODS: We conducted a prevalent new-user cohort study using data from the French National Health Data System (SNDS), the British Association of Dermatologists Biologics and Immunomodulators Register (BADBIR) and the Spanish Registry of Systemic Therapy in Psoriasis (BIOBADADERM). Adalimumab-naïve patients initiating adalimumab biosimilars (new users) were compared with Humira new users. Patients switching from Humira to biosimilars (switchers) were compared with those who continued Humira treatment. Patients were matched 1 : 1 based on previous adalimumab exposure time to create equal-sized cohorts of biosimilar and Humira users. Co-primary outcomes included drug discontinuation and serious adverse events (SAEs). Hazard ratios (HRs) were calculated using Cox proportional hazard models. Meta-analyses using random-effect models were performed to combine results from the three databases. RESULTS: In total, 7387 biosimilar new users and 3654 switchers were matched and compared with Humira users. No differences in all-cause discontinuation were found between biosimilar and Humira new users [HR 0.99, 95% confidence interval (CI) 0.94-1.04]. Switching from Humira to biosimilars was associated with a higher discontinuation rate than remaining on Humira (HR 1.35, 95% CI 1.19-1.52). Similar results were observed for discontinuation due to ineffectiveness or adverse events. Risks of SAEs were similar between biosimilar new users and Humira new users [incidence rate ratio (IRR) 0.91, 95% CI 0.80-1.05] or between switchers and continuous Humira users (IRR 0.92, 95% CI 0.83-1.01). CONCLUSIONS: Adalimumab biosimilars can be considered viable alternatives to Humira for new patients, with comparable effectiveness and safety. However, owing to the higher likelihood of discontinuation, patients who switch from Humira to biosimilars may require closer monitoring and support.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".