Bimekizumab for patients with moderate to severe plaque psoriasis: 60-week results from BE ABLE 2, a randomized, double-blinded, placebo-controlled, phase 2b extension study
Bibliographic record
Abstract
BACKGROUND: Dual neutralization of both interleukin 17A and 17F with the monoclonal antibody bimekizumab may have greater efficacy in psoriasis than neutralization of interleukin 17A alone. OBJECTIVE: To provide longer-term efficacy and safety data for bimekizumab from a phase 2b extension study in patients with moderate to severe psoriasis (BE ABLE 2). METHODS: After the 12-week initial study (BE ABLE 1), patients who had a 90% improvement in Psoriasis Area and Severity Index (PASI 90) at week 12 received bimekizumab 64, 160, or 320 mg for an additional 48 weeks (60 weeks in total). The primary objective was safety. RESULTS: Across all dose groups (N = 217), initial PASI 90 responders generally maintained high levels of efficacy through week 60: PASI 90, 80% to 100%; 100% improvement in PASI, 69% to 83%; Investigator's Global Assessment score 0 or 1, 78% to 100% (all nonresponder imputation). Incidence of serious treatment-emergent adverse events was 15/217 (6.9%). No cases of inflammatory bowel disease, major adverse cardiovascular events, or suicidal ideation or behavior were reported. LIMITATIONS: Low numbers in the bimekizumab 64 mg group (n = 15). The majority of 60-week data reported here are primarily for the week 12 PASI 90 responders only. CONCLUSION: Bimekizumab response rates were maintained through week 60. A substantial proportion of patients achieved complete skin clearance. Bimekizumab was generally well tolerated.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| 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".