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P166 Effectiveness of b/tsDMARDs including ixekizumab per line of therapy and concomitant csDMARD in psoriatic arthritis: real-world data from a prospective observational study

2025· article· en· W4409899324 on OpenAlexaboutno aff
Philipp Sewerin, Nicola Gullick, H.H. Russ, Khai Jing Ng, Sebastián Moyano, Federica Giurdanella, Adela Gallego-Flores, Francesco Ciccia

Bibliographic record

VenueLara D. Veeken · 2025
Typearticle
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsnot available
FundersCelgeneSanofiAmgenPfizerXBiotechTeva Pharmaceutical IndustriesEli Lilly and Company
KeywordsPsoriatic arthritisIxekizumabMedicineObservational studyConcomitantInternal medicineArthritisPhysical therapySecukinumab

Abstract

fetched live from OpenAlex

Abstract Background/Aims Treatment (tx) guidelines for PsA recommend biologic DMARDs (bDMARDs) or targeted synthetic (ts) DMARDs after inadequate response to conventional synthetic DMARDs (csDMARDs). In clinical studies, ixekizumab (IXE) has shown efficacy in patients (pts) with PsA who were bDMARD-naive, TNFi-experienced, and with and without concomitant csDMARDs. Data from real-world studies are limited. This interim analysis reports the effectiveness of IXE and other b/tsDMARDs in b/tsDMARD-naive (naive) and -experienced (exp) pts as well as in monotherapy (mono) and in combination (comb) with any csDMARD at 12 months (M) in a real-world setting. Methods In PRO-SPIRIT, pts with PsA who initiated or switched to new b/tsDMARDs were evaluated in five European countries and Canada. Pts were categorised by prior b/tsDMARD tx and concomitant csDMARD use at baseline (BL), respectively. Descriptive data for the analysis population at 12 M are presented. Mixed models for repeated measures (MMRM) were used to assess change from BL (CFB). Missing data were handled using multiple imputation. Results Of 1192 pts, TNF inhibitors (TNFis) (68.6%) and secukinumab (SEC) group (33.5%) had the highest proportion of naive pts, whereas TNFi (53.5%) and JAKi (46.8%) had the highest proportion of comb pts. At 12 M, similar mean CFB was observed in pts treated with IXE for clinical Disease Activity in Psoriatic Arthritis (cDAPSA) in the naïve (-13.6), exp (-12.1), mono (-12.3), and comb (-12.4) subgroups (subsequently reported in that order, herein); as well as for body surface area (BSA) (-5.0), (-3.6) (-4.4) and (-3.9). Similar trends were observed in tender joint counts and swollen joint counts. However, mean CFB in cDAPSA was lower in exp versus (vs) naive pts treated with SEC ( -8.9 vs -12.8), IL-12/23i (-7.4 vs -16.2) and IL-23i (-10.1 vs -17.2) and lower in mono vs combo in TNFi (-12.5 vs -15.2) and IL-23i (-11.0 vs -12.6). Mean CFB in BSA was lower in exp vs naive pts treated with TNFi (-2.8 vs -5.4), and IL-23i (-2.0 vs -5.3). Conclusion In the real-world setting, IXE demonstrated similar effectiveness on joints and skin regardless of therapy line and concomitant csDMARDs, confirming findings from IXE clinical trials. Other treatments showed less consistent results either on exp pts (SEC, IL-12/23i, IL-23i) or in mono (TNFi, IL-23i). Disclosure P. Sewerin: Consultancies; AbbVie, Amgen, AXIOM Health, Celgene, Chugai, Deutscher Psoriasis-Bund, Eli Lilly and Company, Gilead Sciences, Hexal Pharma, Janssen, Johnson & Johnson, Mediri GmbH, Novartis, Onkowissen GmbH, Pfizer, Pharma Marketing Ltd/Chugai Europe, Rheumazentrum Rhein-Ruhr, Roche, Sanofi-Genzyme, Spirit Medical Communication, Swedish Orphan Biovitrum, and UCB Pharma. Honoraria; AbbVie, Amgen, Biogen, Bristol Myers Squibb, Celgene, Eli Lilly and Company, Gilead Sciences, Hexal Pharma, Janssen, Johnson & Johnson, Novartis, Pfizer, Rheumazentrum Rhein-Ruhr, Roche, Sanofi-Genzyme, Swedish Orphan Biovitrum, and UCB Pharma. N. Gullick: Consultancies; AbbVie, Alphasigma, Janssen, Eli Lilly and Company, Novartis, and UCB Pharma. Grants/research support; AbbVie, Astra Zeneca, Galapagos NV, Janssen, Eli Lilly and Company, Novartis, and UCB Pharma. H. Russ: Corporate appointments; Eli Lilly and Company. Shareholder/stock ownership; Eli Lilly and Company. K. Ng: Corporate appointments; Eli Lilly and Company. Shareholder/stock ownership; Eli Lilly and Company. M. O’Neill: Corporate appointments; Eli Lilly and Company. Shareholder/stock ownership; Eli Lilly and Company. S. Moyano: Corporate appointments; Eli Lilly and Company. Shareholder/stock ownership; Eli Lilly and Company. F. Giurdanella: Corporate appointments; Eli Lilly and Company. Shareholder/stock ownership; Eli Lilly and Company. A. Gallego-Flores: None. F. Ciccia: Consultancies; AbbVie, Eli Lilly and Company, Galapagos, Janssen, Novartis, and UCB Pharma. Honoraria; AbbVie, Eli Lilly and Company, Galapagos, Janssen, Novartis, and UCB Pharma.

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)0.005
metaresearch head score (Gemma)0.009
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: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.095
GPT teacher head0.370
Teacher spread0.275 · 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
Published2025
Admission routes1
Has abstractyes

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