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Enregistrement W4404932315 · doi:10.1007/s12325-024-03042-1

Comparison of On-Label Treatment Persistence in Real-World Patients with Psoriatic Arthritis Receiving Guselkumab Versus Subcutaneous Interleukin-17A Inhibitors

2024· article· en· W4404932315 sur OpenAlexaff
Philip J. Mease, Shannon Ferrante, Natalie J. Shiff, Timothy Fitzgerald, Soumya D. Chakravarty, Jessica A. Walsh

Notice bibliographique

RevueAdvances in Therapy · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueSpondyloarthritis Studies and Treatments
Établissements canadiensUniversity of SaskatchewanSaskatchewan Health Authority
Organismes subventionnairesJanssen Scientific Affairs
Mots-clésMedicineSecukinumabPsoriatic arthritisDiscontinuationIxekizumabInternal medicineCohortArthritis

Résumé

récupéré en direct d'OpenAlex

Psoriatic arthritis (PsA) is a chronic, multidomain, inflammatory disease requiring long-term treatment. Guselkumab, a fully human interleukin [IL]-23p19-subunit inhibitor, and the IL-17A inhibitors (IL-17Ai) ixekizumab and secukinumab are approved by the US Food and Drug Administration (FDA) for adults with active PsA. Real-world data evaluating on-label treatment persistence is an important consideration for patients. This retrospective claim-based analysis (IQVIA PharMetrics® Plus) included adults with PsA receiving guselkumab or their first subcutaneous (SC) IL-17Ai (ixekizumab/secukinumab) per FDA label (“on-label”) between July 14, 2020, and June 30, 2022. Baseline demographic and disease characteristics were collected in the 12 months preceding the index date (date of first guselkumab or SC IL-17Ai claim); follow-up extended through the earlier of the end of continuous insurance eligibility or end of data availability. Baseline characteristics were balanced between the cohorts by propensity score weighting (standardized mortality ratio [SMR]). Discontinuation was defined as a gap 2 × the FDA-approved maintenance dosing interval (guselkumab:112 days; SC IL-17Ai: 56 days); on-label persistence in the weighted cohorts was assessed using Kaplan-Meier curves and compared with a Cox proportional hazards model. Weighted demographic and disease characteristics were well balanced between the cohorts (guselkumab: N = 910, mean age = 50.4 years, 60.4% female; SC IL-17Ai: N = 2740, mean age = 50.2, 59.4% female). At 12 months, the guselkumab cohort was 1.85 × more likely to remain persistent with on-label therapy vs the SC IL-17Ai cohort (p < 0.001); median time to discontinuation was not reached for guselkumab and was 12.3 months for SC IL-17Ai. At 3, 6, 9, and 12 months, persistence rates in the weighted cohorts were higher with guselkumab than with SC IL-17Ai (p < 0.001). In this real-world claims data analysis in adults with PsA, on-label persistence rates were statistically significantly higher with guselkumab, as early as 3 months, with ~ 2 × greater likelihood of persistence at 12 months relative to SC IL-17Ai. Psoriatic arthritis is a chronic, progressive, inflammatory disease that requires long-term treatment. Overproduction of proteins called cytokines, including interleukin (IL)-23 and IL-17A, are known to be involved in psoriatic arthritis. Current treatment guidelines for patients with psoriatic arthritis recommend using medications made from antibodies (biologics), including those that inhibit IL-23 and IL-17A, for some patients. Guselkumab is an antibody medication that blocks IL-23; ixekizumab and secukinumab are antibody medications that block IL-17A. All three treatments are approved by the United States Food and Drug Administration for the treatment of psoriatic arthritis and are given subcutaneously at specific dosing regimens (referred to as “on-label”). This study used information collected from health insurance prescription claims to measure how many patients who started taking guselkumab, ixekizumab, or secukinumab using an on-label dosage were still taking this medication after 12 months. Anonymous patient information was selected from the database for adults who had at least two claims for psoriatic arthritis and started taking either guselkumab or one of the two IL-17A blockers (ixekizumab, secukinumab) between July 14, 2020 and June 30, 2022. Medication claims were included from 910 patients taking guselkumab and 2740 patients taking an IL-17 blocker. The characteristics of these groups (e.g., age, comorbidities, prior psoriatic arthritis treatments) were balanced between the two groups using a statistical method called propensity score weighting. At 1 year, patients in the guselkumab group were almost twice as likely to still be using their medication as the patients using ixekizumab or secukinumab.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,649
Score d'incertitude au seuil0,807

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,036
Tête enseignante GPT0,345
Écart entre enseignants0,309 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations6
Publié2024
Routes d'admission1
Résumé présentoui

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