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AB0290 EFFECT OF FILGOTINIB ON PAIN IN PATIENTS WITH RHEUMATOID ARTHRITIS IN THE PHASE 3 FINCH 1, 2 AND 3 STUDIES

2023· article· en· W4379650133 on OpenAlexaff
Peter C. Taylor, Arthur Kavanaugh, Peter Nash, Janet Pope, Georg Pongratz, Bruno Fautrel, Rieke Alten, Ken Hasegawa, S. Rao, D. de Vries, P. J. Stiers, C. Watson, René Westhovens

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsWestern University
FundersUCB PharmaNordic Pharma GroupCelgeneGilead SciencesSanofiGalápagosAmgenPfizerEli Lilly and CompanyBiogenGlaxoSmithKline
KeywordsMedicineAdalimumabRheumatoid arthritisPlaceboInternal medicineMethotrexateVisual analogue scaleArthritisGastroenterologyPhysical therapyPathology

Abstract

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Background Patients (pts) with rheumatoid arthritis (RA) often experience substantial pain despite treatment, and pain control is considered an important treatment outcome. The FINCH 1–3 studies demonstrated the efficacy and acceptable safety of the preferential Janus kinase (JAK) 1 inhibitor filgotinib (FIL) in pts living with RA. Objectives This post-hoc analysis of the FINCH studies assessed specific effects of FIL on pain. Methods FINCH 1–3 (NCT02889796, NCT02873936, NCT02886728) were Phase 3, randomized, double-blind trials of FIL 100 mg and 200 mg (FIL100/200). In FINCH 1, pts with an inadequate response (IR) to methotrexate (MTX) received FIL, adalimumab (ADA) or placebo (PBO) + MTX for 52 weeks. In FINCH 2, pts with an IR to biologic disease-modifying anti-rheumatic drugs (DMARDs) received FIL or PBO + conventional synthetic DMARDs for 24 weeks. In FINCH 3, MTX-naïve pts received FIL ± MTX or MTX for 52 weeks. For each treatment group, pts reported pain on a 100-mm visual analog scale (VAS). Scores of ≤10 mm reflected limited to no pain; scores of ≤20 mm indicated health status was not negatively affected by pain.[1] Time to first VAS score of ≤10 mm was assessed. The proportion of pts who achieved remission (as per Disease Activity Score 28 with C-reactive protein [DAS28-CRP] <2.6 or Clinical Disease Activity Index [CDAI] ≤2.8) at Week 24 was evaluated. Of pts who achieved DAS28-CRP or CDAI remission, the proportion who also reported VAS pain scores of ≤10 mm or ≤20 mm was determined. Results In FINCH 1, there was a higher probability of achieving a VAS pain score of ≤10 mm with FIL200, vs ADA + MTX or PBO + MTX; responses were better or comparable with FIL100 vs other treatment arms (Figure 1). Similar findings were observed in FINCH 2 and 3 for FIL vs PBO and MTX, respectively. In FINCH 1, the proportion of pts achieving DAS28-CRP remission was greater with FIL200 + MTX (48.4%) and comparable for the FIL100 + MTX (35.2%) vs ADA + MTX arms (35.7%; Table 1). Further, the proportion of pts who achieved VAS pain scores of ≤10 mm and ≤20 mm in addition to DAS28-CRP remission was 26.3% and 35.8%, respectively, in the FIL200 + MTX group, compared with 17.2% and 24.6% in the ADA + MTX group (Table 1). In FINCH 2 and 3, a greater proportion of pts in the FIL groups achieved remission vs the PBO or MTX arms, respectively. A greater proportion of pts achieved pain responses in addition to DAS28-CRP remission in the FIL groups of FINCH 2 and FINCH 3 compared with PBO or MTX, respectively. Findings were similar when CDAI remission was assessed. Conclusion FIL positively affected pain parameters across the FINCH studies as early as Week 2, with responses sustained over time (up to Week 52 [FINCH 1 and 3] and Week 24 [FINCH 2]). In FINCH 1, FIL200 had a particularly favorable impact when pain response and remission were assessed together. Similar findings were seen with FIL compared with PBO and MTX in FINCH 2 and 3, respectively. These findings suggest that JAK inhibition may offer potential added value with respect to patient-reported pain outcomes when treat-to-target goals are met. Reference [1] Taylor PC, et al. J Clin Med 2019;8:831 Acknowledgements The authors thank the physicians and patients who participated in the studies. The studies were funded by Gilead Sciences (Foster City, CA, USA) and Galapagos NV (Mechelen, Belgium). Publication coordination was provided by Fabien Debailleul, PhD, of Galapagos NV. Writing support was provided by Debbie Sherwood, BSc, CMPP (Aspire Scientific, Bollington, UK), and was funded by Galapagos NV. Disclosure of Interests Peter C. Taylor Speakers bureau: AbbVie, Consultant of: AbbVie, Biogen, Fresenius, Galapagos, Gilead, GlaxoSmithKline, Janssen, Lilly, Nordic Pharma, Pfizer, Sanofi, UCB Pharma, Grant/research support from: Galapagos, Arthur Kavanaugh Consultant of: AbbVie, Amgen, BMS, Janssen, Novartis, Pfizer, UCB, Peter Nash Speakers bureau: AbbVie, Amgen, BMS, Celgene, Gilead/Galapagos, Janssen, Lilly, Novartis, Pfizer, Consultant of: AbbVie, Amgen, BMS, Celgene, Gilead/Galapagos, Janssen, Lilly, Novartis, Pfizer, Grant/research support from: AbbVie, Amgen, BMS, Celgene, Gilead/Galapagos, Janssen, Lilly, Novartis, Pfizer, Janet Pope: None declared, Georg Pongratz Speakers bureau: AbbVie, Boehringer, Lilly, Pfizer, Roche, Sanofi, Paid instructor for: Lilly, Roche, Consultant of: AbbVie, Boehringer, Galapagos, Lilly, Pfizer, Roche, Bruno Fautrel Consultant of: AbbVie, Amgen, Biogen, BMS, Celgene, Celltrion, Fresenius Kabi, Gilead, Janssen, Lilly, Medac, MSD, Mylan, Nordic Pharma, Novartis, Pfizer, Roche, Sandoz, Sanofi-Genzyme, Sobi, UCB, Grant/research support from: AbbVie, Lilly, MSD, Pfizer, Rieke Alten Consultant of: AbbVie, Amgen, Biogen, BMS, Celltrion, Gilead, Janssen, Lilly, Medac, MSD, Mylan, Novartis, Pfizer, Roche, Sandoz, Sanofi-Genzyme, UCB, Viatris, Ken Hasegawa Shareholder of: Gilead, Employee of: Gilead, Shangbang Rao Employee of: Gilead, Dick de Vries Shareholder of: Galapagos, Employee of: Galapagos, Pieter-Jan Stiers Employee of: Galapagos, Chris Watson Shareholder of: Galapagos, Employee of: Galapagos, Rene Westhovens Speakers bureau: Celltrion, Galapagos, Gilead, Consultant of: Celltrion, Galapagos, Gilead.

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)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.017
GPT teacher head0.334
Teacher spread0.316 · 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 designRandomized 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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Citations1
Published2023
Admission routes1
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