POS1088 EFFICACY OF SUBCUTANEOUS TANEZUMAB FOR THE TREATMENT OF OSTEOARTHRITIS OF THE KNEE OR HIP: A POST-HOC SUBGROUP ANALYSIS OF PATIENTS FROM A RANDOMIZED, NSAID-CONTROLLED STUDY WITH A HISTORY OF DEPRESSION, ANXIETY, OR INSOMNIA
Notice bibliographique
Résumé
Background: Tanezumab is a monoclonal antibody directed against nerve growth factor. It is in development for the treatment of moderate to severe chronic pain associated with osteoarthritis (OA) in adult patients for whom other treatments are ineffective or not appropriate. Phase 3 clinical trials have demonstrated the efficacy of subcutaneous tanezumab versus placebo for pain and function outcomes over various timepoints. Largely similar change from baseline was demonstrated in an oral nonsteroidal anti-inflammatory drug (NSAID)-controlled study.1,2,3,4 The efficacy of some other OA therapies can be dampened in patients with depression, anxiety, or insomnia.5,6,7 Objectives: A post-hoc analysis to explore the efficacy of subcutaneous tanezumab after 16 weeks treatment, as compared to oral NSAID, in patients with OA and a history of depression, anxiety, or insomnia at baseline. Methods: Subgroup analysis of data from a randomized, double-blind, double-dummy, active-controlled phase 3 study of subcutaneous tanezumab (2.5 mg or 5 mg every 8 weeks) vs twice daily oral NSAID in patients (≥18 years) with radiographically-confirmed moderate to severe hip or knee OA (Kellgren-Lawrence grade ≥2; NCT02528188).4 Co-primary efficacy endpoints were change from baseline to week 16 in Western Ontario and McMaster Universities OA Index (WOMAC*) Pain and Physical Function subscale scores (both ≥5/10 at randomisation; increasing score indicates increasing pain/disability), and Patient’s Global Assessment of OA (PGA-OA, ≥3/5 at randomisation; increasing score indicates poorer condition). Enrolled patients had a history of inadequate pain relief with acetaminophen; inadequate pain relief with/intolerance to/contraindication to tramadol or opioids; or an unwillingness to take opioids. Patients were on a stable dose of NSAID for ≥30 days before screening. Data are presented as least squares (LS) mean change from baseline to week 16 for the whole population and for subgroups of patients with/without a history of depression, anxiety, or insomnia at baseline. Exploratory statistical analysis was conducted by analysis of covariance. P values were not adjusted for multiplicity. This exploratory post-hoc analysis was not part of the pre-specified hypothesis testing plan or included in any sample size calculations; therefore, comparisons between treatment arms or patient subgroups should be interpreted with caution. Results: Overall, 2996 patients were randomized and received at least one dose of study treatment (subcutaneous tanezumab 2.5 mg: n=1002; subcutaneous tanezumab 5 mg: n=998; oral NSAID: n=996). In this population (comprising patients with or without a history of anxiety, depression or insomnia), all treatments were associated with notable and largely similar magnitude improvements in WOMAC Pain, WOMAC Physical Function, and PGA-OA at week 16 (Figure 1). Across treatment groups, differences in LS mean change from baseline in patients with and without a history of depression, anxiety or insomnia ranged between 0 - 0.34 for WOMAC Pain and Physical Function and 0 - 0.19 for PGA-OA. Conclusion: Patients with a history of depression, anxiety, or insomnia did not appear to experience dampened improvements in pain or function with tanezumab or NSAID, as compared to those without. References: [1]Schnitzer T, et al. JAMA. 2019;322(1):37-48; [2]Berenbaum F, et al. Ann Rheum Dis. 2020;79(6):800-10; [3]Schnitzer T, et al. Semin Arthritis Rheum. 2020;50(3):387-93; [4]Hochberg M, et al. Arthritis Rheumatol. In Press; [5]Sharma A, et al. Open Access Rheumatol. 2016;31(8):103-13; [6]Mallen C, et al. PLoS Med. 2017;14(4):e1002273; [7]Campbell C, et al. Arthritis Care Res. 2015;67(10):1387-96. Acknowledgements: Study sponsored by Pfizer and Eli Lilly and Company. Editorial support was provided by Jennifer Bodkin of Engage Scientific Solutions and funded by Pfizer and Eli Lilly and Company. Disclosure of Interests: Philip J Mease Speakers bureau: AbbVie, Amgen, Bristol Myers Squibb, Celgene, Janssen, Eli Lilly and Company, Novartis, Pfizer, UCB, Consultant of: AbbVie, Amgen, Boehringer Ingelheim, Bristol Myers Squibb, Celgene, Galapagos, Gilead, GlaxoSmithKline, Janssen, Eli Lilly and Company, Novartis, Pfizer, Sun, UCB, Grant/research support from: AbbVie, Amgen, Bristol Myers Squibb, Celgene, Janssen, Eli Lilly and Company, Novartis, Pfizer, Sun, UCB, Theresa Mallick-Searle Speakers bureau: Allergan, Abbvie, Eli Lilly and Company, Salix, Consultant of: Pfizer, Eli Lilly and Company, Elizabeth Johnston Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Lars Viktrup Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Dominique Menuet Employee of: Pfizer, Ruoyong Yang Employee of: Pfizer, Robert J Fountaine Shareholder of: Pfizer, Employee of: Pfizer.
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 | 0,008 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,007 | 0,019 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,003 |
| 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 ».