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Record W3120319462 · doi:10.25251/skin.5.supp.21

Bimekizumab Safety in Patients with Moderate to Severe Psoriasis: Analysis of Pooled Data from Phase 2 and 3 Clinical Trials

2021· article· en· W3120319462 on OpenAlexaff
Kristian Reich, Andrew Blauvelt, Mark Lebwohl, KA Papp, Phoebe Rich, Bruce Strober, Dirk De Cuyper, Cindy Madden, Luke Peterson, Veerle Vanvoorden, Richard B. Warren

Bibliographic record

VenueSKIN The Journal of Cutaneous Medicine · 2021
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsProbity Medical Research
Fundersnot available
KeywordsPooled analysisPsoriasisClinical trialMedicinePhase (matter)DermatologyInternal medicineMeta-analysisChemistry

Abstract

fetched live from OpenAlex

ConclusionsBimekizumab was well-tolerated across the plaque psoriasis clinical program; most TEAEs were mild to moderate and discontinuations were low.All candida infections were mucocutaneous in origin, with oral candidiasis being most frequent; oral candidiasis TEAEs were predominantly mild to moderate and the vast majority did not lead to discontinuation. ObjectiveTo report short-and longer-term safety data in bimekizumab-treated patients with moderate to severe plaque psoriasis pooled from eight phase 2/3 trials. Background• Bimekizumab is a monoclonal IgG1 antibody that selectively inhibits interleukin (IL)-17F in addition to IL-17A.1,2 • Given that psoriasis is a chronic disease requiring long-term management, it is important to understand the long-term safety profiles of therapies such as bimekizumab.• We report short-and longer-term safety data in bimekizumab-treated patients with moderate to severe plaque psoriasis, and short-term data from adalimumab, ustekinumab, and placebo phase 3 comparator arms. Methods• Patients were included from four phase 3 trials -BE SURE, BE VIVID, BE READY, and the BE BRIGHT open-label extension (interim cut: November 1, 2019)and four phase 2 studies -BE ABLE 1, BE ABLE 2, PS0016, and PS0018.Patients received bimekizumab 320 mg every 4 or 8 weeks (Q4W/Q8W; additional doses used in phase 2), adalimumab, ustekinumab, or placebo.• Short-term safety from the initial treatment periods (Weeks 0-16) of three of the phase 3 trials (BE SURE, BE VIVID, and BE READY) was evaluated for patients who received ≥1 dose of bimekizumab, adalimumab, ustekinumab, or placebo.• Longer-term safety was also evaluated for patients who received ≥1 dose of bimekizumab in BE SURE, BE VIVID, BE READY, BE BRIGHT, and the four phase 2 trials.• We report treatment emergent adverse events (TEAEs; n [%]) for the initial treatment period for patients receiving bimekizumab 320 mg Q4W, adalimumab, ustekinumab, and placebo, as well as longer-term TEAEs for patients receiving bimekizumab 320 mg Q4W and all other doses of bimekizumab.-Exposure-adjusted incidence rates (EAIRs) are the incidence of new cases per 100 patient-years (PY) in patients receiving bimekizumab 320 mg Q4W (short-term) and all patients receiving any dose of bimekizumab (longer-term).-TEAEs were coded using MedDRA v19.0. Results Patient Population• Over 16 weeks, 989 patients with psoriasis received ≥1 bimekizumab dose, 159 patients received adalimumab, 163 patients received ustekinumab, and 169 patients received placebo.• Patient demographics and baseline disease characteristics are reported in Table 1. Short-Term Safety Outcomes• 593 (60.0%) bimekizumab-treated patients experienced ≥1 TEAE, versus 96 (60.4%) adalimumab-treated patients, 83 (50.9%) ustekinumab-treated patients, and 74 (43.8%) placebo-treated patients (Table 2).• Serious TEAEs occurred in <4% of patients in each treatment group, ranging from 1.5% for bimekizumab to 3.1% for ustekinumab.• Discontinuations due to TEAEs occurred in <5% of patients in each group, ranging from 1.7% for bimekizumab to 4.1% for placebo (Table 2).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.006
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.051
GPT teacher head0.350
Teacher spread0.299 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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