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P266 Secukinumab provides clinical improvements in patients with active oligoarticular psoriatic arthritis: results from a pooled analysis of five phase 3 studies

2022· article· en· W4293181458 on OpenAlexaff
Laura C. Coates, Alexis Ogdie, Dafna D. Gladman, Effie Pournara, Xiangyi Meng, B. Parikh, Philip J. Mease

Bibliographic record

VenueLara D. Veeken · 2022
Typearticle
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsToronto Western Hospital
Fundersnot available
KeywordsSecukinumabMedicinePsoriatic arthritisInternal medicineLogistic regressionRheumatoid arthritis

Abstract

fetched live from OpenAlex

Abstract Background/Aims Evidence for the efficacy of biologics in patients with oligoarticular psoriatic arthritis (PsA) is limited. We evaluated the efficacy of the interleukin 17 inhibitor secukinumab in patients with oligoarticular PsA pooled from 5 phase 3 studies. Methods This post hoc analysis included patients with oligoarticular PsA from the FUTURE 2-5 and MAXIMISE trials (NCT01649375, NCT01989468, NCT02294227, NCT02404350, and NCT02721966). Oligoarticular PsA was defined as the presence of 1-4 tender joints and 1-4 swollen joints at baseline as measured by the tender joint count of 78 joints (TJC78) and the swollen joint count of 76 joints (SJC76), respectively. Patients were pooled by treatment received at week 12 and week 52 in the following groups: week 12 (secukinumab 300 mg, secukinumab 150 mg with or without loading dose [LD], or placebo) and week 52 (any secukinumab 300 mg or any secukinumab 150 mg). Efficacy was assessed by the proportion of patients achieving 50% improvement in Disease Activity in Psoriatic Arthritis (DAPSA50), DAPSA75, DAPSA-based low disease activity (LDA; DAPSA ≤14) and remission (REM; DAPSA ≤4), resolution of TJC78, resolution of SJC76, and a ≥ 0.35-point improvement in the Health Assessment Questionnaire-Disability Index score. Descriptive statistics are provided for each endpoint. Logistic regression analysis was used to identify potential predictors of DAPSA response at weeks 12 and 52; multivariate logistic regression analyses were performed thereafter. Results 84 patients were included: 48 with active PsA from the FUTURE 2-5 trials and 36 with active PsA and axial manifestations from the MAXIMISE trial. Demographics and baseline disease characteristics were comparable across groups. At week 12, notable improvements were observed for the secukinumab 300 and 150 mg versus placebo groups across all the assessed outcome measures and were sustained or increased through week 52. More than 78% of patients who received secukinumab 300 mg or secukinumab 150 mg achieved LDA or REM at week 12. More than 90% of patients who received any secukinumab 300 mg or secukinumab 150 mg achieved LDA or REM at week 52. At week 52, a higher proportion of patients who received any secukinumab 300 mg versus any secukinumab 150 mg achieved higher hurdle endpoints of DAPSA75 (58.1% versus 43.6%, respectively) and DAPSA REM (61.3% versus 37.5%, respectively). At week 12, younger age was a predictor for the achievement of DAPSA LDA or REM and the achievement of DAPSA50, while lower baseline SJC was a predictor of the achievement of DAPSA REM (P < 0.05). No predictors were identified at week 52. Conclusion Secukinumab provides greater improvements versus placebo across a number of disease activity and physical function outcome measures in patients with oligoarticular PsA at week 12, with sustained responses through week 52. Disclosure L.C. Coates: Honoraria; AbbVie, Amgen, Celgene, Galapagos, Gilead, Janssen, Eli Lilly, Novartis, Pfizer, UCB. Grants/research support; AbbVie, Celgene, Eli Lilly, Novartis, Pfizer. A. Ogdie: Consultancies; Amgen, AbbVie, BMS, Celgene, Novartis, Lilly, Janssen, Gilead, Pfizer, UCB. Grants/research support; National Institutes of Health/National Institute of Arthritis and Musculoskeletal and Skin Diseases, Rheumatology Research Foundation, National Psoriasis Foundation, Amgen, Pfizer, Novartis. D.D. Gladman: Consultancies; AbbVie, Amgen, Bristol Myers Squibb, Celgene, Galapagos, Gilead, Janssen, Eli Lilly, Novartis, Pfizer, UCB. Grants/research support; AbbVie, Amgen, Celgene, Eli Lilly, Novartis, Pfizer, UCB. E. Pournara: Shareholder/stock ownership; Novartis. Other; Employee of Novartis. X. Meng: Other; Employee of Novartis. B. Parikh: Other; Employee of Novartis. P.J. Mease: Consultancies; AbbVie, Amgen, Boehringer Ingelheim, Bristol Myers Squibb, Celgene, Galapagos, Gilead, GlaxoSmithKline, Janssen, Eli Lilly, Novartis, Pfizer, Sun Pharma, UCB. Member of speakers’ bureau; AbbVie, Amgen, Janssen, Eli Lilly, Novartis, Pfizer, UCB. Grants/research support; AbbVie, Amgen, Bristol Myers Squibb, Celgene, Gilead, Janssen, Eli Lilly, Novartis, Pfizer, Sun Pharma, UCB.

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)0.019
metaresearch head score (Gemma)0.015
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: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.015
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0070.018
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.018
GPT teacher head0.315
Teacher spread0.297 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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