AB0290 EFFECT OF FILGOTINIB ON PAIN IN PATIENTS WITH RHEUMATOID ARTHRITIS IN THE PHASE 3 FINCH 1, 2 AND 3 STUDIES
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,003 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».