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Record W4405229705 · doi:10.1093/bjd/ljae360.145

P115 Real-world experience of bimekizumab for plaque psoriasis in adult patients with prior exposure to interleukin-23 inhibitors: a 52-week multicentre retrospective review

2024· article· en· W4405229705 on OpenAlexfundno aff

Bibliographic record

VenueBritish Journal of Dermatology · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsnot available
FundersUniversity of TorontoWomen's College HospitalMcMaster University
KeywordsMedicineDiscontinuationPsoriasisInternal medicinePsoriasis Area and Severity IndexAdverse effectPlaque psoriasisBody surface areaGastroenterologyInterleukin 17Retrospective cohort studyDermatologyCytokine

Abstract

fetched live from OpenAlex

Abstract For adult patients with plaque psoriasis, limited information exists on switching between classes from an IL-23 inhibitor (IL-23i) to bimekizumab. We conducted a real-world, multicentre, retrospective study of bimekizumab following IL-23i exposure. Twenty-three subjects with prior exposure to an IL-23i were identified. Effectiveness outcomes included Investigator Global Assessment (IGA), psoriasis area and severity index (PASI), body surface area (BSA), and IGA × BSA scores. Safety was assessed via treatment-related adverse events (AEs). For 23 patients included, the mean age was 43 (range: 20–73) years, with 56.5% (13/23) being male. Prior IL-23i exposures included guselkumab only (52.2%, 12/23), risankizumab only (21.7%, 5/23), and both guselkumab and risankizumab (26.1%, 6/23). Reasons for discontinuation included lack of efficacy (95.7%, 22/23) and persistent psoriatic arthritis (4.3%, 1/23). Primary non-response to prior IL-23i was defined as lack of IGA 0/1 and/or 75% improvement in PASI (PASI75) at Week 16, whereas secondary non-response to prior IL-17i was defined as loss of IGA 0/1 and/or PASI75 response at any point afterwards. At Weeks 52 ± 6: IGA 0/1 was achieved by 66.7% (12/18); mean PASI, BSA, and IGA × BSA improvements from baseline were 69.6% (8.5–0.8), 71.8% (8.2–0.7%), and 74.6% (22.6–1.4), respectively; 65.2% (15/23), 56.5% (13/23), and 47.8% (11/23) achieved PASI75, 90% improvement in PASI (PASI90), and 100% improvement in PASI (PASI100), respectively; 78.3% (18/23), 69.6% (16/23), and 65.2% (14/23) achieved absolute PASI scores <3, <2, and <1; and 73.9% (17/23) achieved BSA <1%. In prior IL-23i primary non-responders (n = 6), 83.3% (5/6) achieved IGA 0/1 and/or PASI90 and 50% (3/6) achieved PASI100 with bimekizumab at Week 52 ± 6. In prior IL-23i secondary non-responders (n = 12), 66.7% (8/12) achieved IGA 0/1 and/or PASI90 and 50% (6/12) achieved PASI100 with bimekizumab at Week 52 ± 6. Four treatment-related AEs occurred (17.4%, 4/23), including oral candidiasis (8.7%, 2/23) and bacterial folliculitis (4.3%, 1/23). There were 3 (13%) treatment-related discontinuations [lack of efficacy (n = 2); AE: anxiety (n = 1)]. While our real-world results of patients with prior IL-23i exposure demonstrated lower achievement of effectiveness endpoints (IGA 0/1: 66.7%; PASI90: 56.5%; PASI100: 47.8%) at Week 52 ± 6 as compared with clinical trials, the discrepancy between clinical trials and this study may be explained by a more difficult-to-treat population with multiple biologic failures (56.5% utilized >3 biologics and 26.1% used several IL-23i). Our real-world study also included patients with >1 biologic failure, while Phase III clinical trials excluded this population. Our results highlight the long-term utility of bimekizumab in the setting of prior IL-23i exposure. Study limitations include its small sample and retrospective nature.

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)0.006
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.006
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.009
GPT teacher head0.246
Teacher spread0.238 · 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 designObservational
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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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