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P242 CZP improves work and household productivity and social participation over 1 year of treatment in patients with non-radiographic axSpA

2020· article· en· W3018705522 on OpenAlexaff
Karl Gaffney, Atul Deodhar, Lianne S. Gensler, Jonathan Kay, Walter P. Maksymowych, Nigil Haroon, Robert Landewé, Martín Rudwaleit, Stephen Hall, Lars Bauer, Bengt Hoepken, Natasha de Peyrecave, T. Kumke, Désirée van der Heijde

Bibliographic record

VenueLara D. Veeken · 2020
Typearticle
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsUniversity of TorontoUniversity Health NetworkUniversity of Alberta
Fundersnot available
KeywordsMedicineCertolizumab pegolPlaceboWork productivityPhysical therapyInternal medicineBristol-MyersProductivityDiseaseInfliximabAlternative medicine

Abstract

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Abstract Background Certolizumab pegol (CZP) treatment has been shown to significantly improve work and household productivity and social participation compared to placebo in active non-radiographic axial spondyloarthritis (nr-axSpA) patients up to 24 weeks. Here, we report the impact of CZP in combination with non-biologic background medication (NBBM) on signs and symptoms of nr-axSpA compared to placebo+NBBM. Methods C-axSpAnd (NCT02552212) is a 3-year, phase 3, multicentre study including a 52-week double-blind, placebo-controlled period (completed). Patients had active nr-axSpA, objective signs of inflammation (OSI; elevated CRP and/or positive MRI of the sacroiliac joint), previous inadequate response to ≥ 2 NSAIDs and were randomised 1:1 to CZP (400 mg at Weeks 0/2/4, then 200 mg every 2 weeks) or placebo. The validated arthritis-specific Work Productivity Survey (WPS) assessed the impact of nr-axSpA on work and household productivity and social participation. Missing data were imputed using last observation carried forward (LOCF) post hoc in the Full Analysis Set (randomised patients who received ≥1 dose of CZP). Results 317 patients were randomised (CZP: 159; placebo: 158). Mean age at baseline was 37.3 years and 51.4% of patients were female. At baseline, most patients were employed (CZP: 124 [77.8%]; placebo: 123 [78.0%]) and reported a mean 3.7 (CZP) and 3.5 (placebo) workdays missed per month due to disease (Table 1). By Week 12, work absenteeism substantially improved in the CZP group compared with placebo (0.9 vs 2.1 days missed per month, LOCF), with further improvements at Week 52 (0.3 vs 2.0 days missed per month, LOCF). Between Week 12 and Week 52, most placebo patients (104, 65.8%) switched to open-label CZP, impacting Week 52 imputed outcomes. Despite this, similar patterns of improvement following CZP treatment were seen for absenteeism, workdays with impaired productivity, household days with missed/reduced productivity and social participation between imputed and observed case data (Table 1). Improvements were similar between male and female patients (data not shown). Conclusion CZP treatment resulted in improvements in work and household productivity and social participation for nr-axSpA patients as early as Week 12 compared to background medication only, with benefits maintained to Week 52. Disclosures K. Gaffney: Other; Research Grants/Consultancy Fees from Abbvie, Biogen, Celgene, Gilead, Izana, Janssen, Lilly, Novartis, Pfizer, UCB Pharma. A. Deodhar: Consultancies; AbbVie, Amgen, Boehringer Ingelheim, Bristol Myers Squibb, Eli Lilly, Glaxo Smith and Klein, Janssen, Novartis, Pfizer and UCB. Grants/research support; BMS, Eli Lilly, Glaxo Smith & Kline, Janssen, Novartis, Pfizer and UCB. L. Gensler: Consultancies; Galapagos, Eli Lilly and Janssen. Grants/research support; AbbVie, Amgen, Novartis, UCB Pharma. J. Kay: Consultancies; AbbVie, Boehringer Ingelheim, Celltrion Healthcare, Horizon Therapeutics, Merck Sharp & Dohme, MorphoSys, Novartis, Pfizer, Samsung Bioepis, Sandoz and UCB Pharma. Grants/research support; Gilead Sciences, Novartis AG, Pfizer and UCB Pharma. W. Maksymowych: Other; Consultant and/or speaker fees and/or grants from AbbVie, Amgen, Eli Lilly, Janssen, Merck, Pfizer, Synarc, Sanofi and UCB Pharma. N. Haroon: Consultancies; Abbvie, Amgen, Eli Lilly, Janssen, Novartis and UCB Pharma. R. Landewé: Consultancies; Abbott, Ablynx, Amgen, Astra-Zeneca, Bristol Myers Squibb, Centocor, GlaxoSmithKline, Novartis, Merck, Pfizer, Roche, Schering-Plough, UCB Pharma, Wyeth. Member of speakers’ bureau; Abbott, Amgen, Bristol Myers Squibb, Centocor, Merck, Pfizer, Roche, Schering-Plough, UCB Pharma, Wyeth. Grants/research support; Abbott, Amgen, Centocor, Novartis, Pfizer, Roche, Schering-Plough, UCB Pharma, Wyeth. M. Rudwaleit: Consultancies; Abbott, Bristol-Myers Squibb, Janssen, MSD, Pfizer, Roche, UCB Pharma. S. Hall: Other; Consulting fees/ research grants from AbbVie, Eli Lilly, Novartis, and UCB Pharma. L. Bauer: Other; Employee of UCB Pharma. B. Hoepken: Other; Employee of UCB Pharma. N. de Peyrecave: Other; Employee of UCB Pharma. T. Kumke: Other; Employee of UCB Pharma. D. van der Heijde: Consultancies; AbbVie, Amgen, Astellas, AstraZeneca, Bristol-Myers Squibb, Boehringer Ingelheim, Celgene, Daiichi, Eli Lilly, Galapagos, Gilead, Janssen, Merck, Novartis, Pfizer, Regeneron, Roche, Sanofi, and UCB. Other; Director of Imaging Rheumatology BV.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.237
Teacher spread0.220 · 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 designNon-randomized trial
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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Citations2
Published2020
Admission routes1
Has abstractyes

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