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Enregistrement W4411412222 · doi:10.1016/j.ard.2025.05.029

OP0006 OBINUTUZUMAB DEMONSTRATES CONSISTENT BENEFIT ACROSS NUMEROUS PRIMARY ENDPOINT DEFINITIONS USING REGENCY STUDY RESULTS OF PATIENTS WITH ACTIVE LUPUS NEPHRITIS

2025· article· en· W4411412222 sur OpenAlexaff
B.H. Rovin, William F. Pendergraft, Liz Lightstone, Z. Amoura, R. Furie, Iftekhar Hassan, Byung Woo Yoo, Edésio Martins, Amneet K. Hans, Theodore A. Omachi, Thomas Schindler, Jay Garg, J. Henes, Ana Malvar

Notice bibliographique

RevueAnnals of the Rheumatic Diseases · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueSystemic Lupus Erythematosus Research
Établissements canadiensRoche (Canada)
Organismes subventionnairesnon disponible
Mots-clésMedicineObinutuzumabLupus nephritisClinical endpointSystemic lupus erythematosusImmunologyInternal medicineClinical trialRituximabLymphomaDisease

Résumé

récupéré en direct d'OpenAlex

Background: Lupus nephritis (LN) is the most common, severe, organ-threatening manifestation of systemic lupus erythematosus (SLE). Improvement or stabilisation of kidney function and improvement of proteinuria, key goals in clinical practice, are commonly included in the composite primary endpoint definitions of complete response in recent LN clinical studies. Nevertheless, as there is no standardised definition of complete response, studies utilise different surrogates of kidney function and set different cut-off values for each of the individual components of the complete response definition. The Phase III REGENCY study (NCT04221477) demonstrated superiority of obinutuzumab over placebo in achieving complete renal response (CRR) at Week 76 when added to standard therapy in patients with active LN. Objectives: To evaluate the effect of obinutuzumab plus standard therapy (mycophenolate mofetil plus glucocorticoids) versus placebo and standard therapy across different renal response definitions used in recent pivotal studies. Methods: REGENCY primary and other pre-specified renal response endpoints, as well as BLISS-LN and AURORA-1 primary or secondary renal endpoint definitions, were used for this post hoc analysis using the REGENCY dataset at Week 76. Endpoint measures were defined according to those listed in Table 1. Analyses were performed in the intention-to-treat population. The proportions of patients achieving CRR in the two groups were compared using a Cochran–Mantel–Haenszel test with region and race as stratification factors with multiple imputation for missing data. All patients met the American College of Rheumatology classification criteria for SLE and had biopsy-proven active LN. Results: In the obinutuzumab (n=135) plus standard therapy and placebo plus standard therapy groups (n=136), respectively, 46.4% and 33.1% of patients achieved CRR at Week 76 (adjusted difference 13.4%, 95% CI, 2.0 to 24.8%; P =0.0232). The proportions of patients at Week 76 achieving i) a modified BLISS-LN primary efficacy renal response were 51.8% and 39.7% (adjusted difference: 12.1%, 95% CI, 0.5 to 23.8%; P =0.0432); ii) a modified BLISS-LN CRR were 48.7% and 33.1% (adjusted difference: 15.7%, 95% CI, 4.3 to 27.2%; P =0.0084); iii) a modified AURORA-1 CRR were 48.7% and 33.8% (adjusted difference: 15.0%, 95% CI, 3.6 to 26.5%; P =0.0117) (Table 2). Additional modified REGENCY CRR definitions were analysed and summarised in Table 2. Conclusion: Obinutuzumab plus standard therapy was significantly superior to placebo plus standard therapy across different renal response definitions at Week 76. Consistent benefit was observed, irrespective of the outcome measure composition as well as the stringency of the individual outcome thresholds. Whilst cross-trial comparisons are challenging, a robust treatment benefit of obinutuzumab plus standard therapy appears to be maintained when applying the modified primary and secondary endpoint definitions from the BLISS-LN and AURORA-1 studies. Furthermore, the effect size of the benefit of obinutuzumab over placebo at Week 76 was consistent (between 13% and 16%) using all of the different definitions of response. REFERENCES: NIL . Acknowledgements: Funded by F. Hoffmann-La Roche Ltd. Editorial assistance was provided by Nucleus Global, an Inizio company, and funded by F. Hoffmann-La Roche Ltd. Disclosure of Interests: Brad H. Rovin received consulting fees F. Hoffmann-La Roche Ltd/Genentech, Inc., William F. Pendergraft III shareholder of F. Hoffmann-La Roche Ltd, employee of Genentech, Inc., Liz Lightstone received consulting fees Alexion, AstraZeneca, F. Hoffmann-La Roche Ltd, GlaxoSmithKline, Kezar, Novartis, Otsuka and Pfizer, Zahir Amoura received consulting fees Amgen, AstraZeneca, Genentech, Inc., GlaxoSmithKline, Kezar and Novartis, Richard A. Furie received consulting fees from GlaxoSmithKline and Genentech, Inc., received research support from GlaxoSmithKline and Genentech, Inc., Imran Hassan employee of F. Hoffmann-La Roche Ltd, Bongin Yoo shareholder of F. Hoffmann-La Roche Ltd, employee of Genentech, Inc., Elsa Martins employee of F. Hoffmann-La Roche Ltd, Ann-Christin Hans employee of F. Hoffmann-La Roche Ltd, Theodore A. Omachi shareholder of F. Hoffmann-La Roche Ltd, employee of Genentech, Inc., Thomas Schindler shareholder of F. Hoffmann-La Roche Ltd, employee of F. Hoffmann-La Roche Ltd, Jay Garg shareholder of F. Hoffmann-La Roche Ltd, employee of Genentech, Inc., Jörg Henes received consulting fees from AbbVie, AstraZeneca, BMS, GlaxoSmithKline, Novartis, Pfizer and UCB, Ana Malvar received consulting fees from F. Hoffmann-La Roche Ltd and Genentech, Inc. © The Authors 2025. This abstract is an open access article published in Annals of Rheumatic Diseases under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Neither EULAR nor the publisher make any representation as to the accuracy of the content. The authors are solely responsible for the content in their abstract including accuracy of the facts, statements, results, conclusion, citing resources etc.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,014
score de la tête « metaresearch » (Gemma)0,012
Version: metacan-v3-hybrid-931329e0061cStatut 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 enseignants0,014
Score d'incertitude au seuil0,073

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0140,012
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,003
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,001
Communication savante0,0020,001
Science ouverte0,0000,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,054
Tête enseignante GPT0,328
Écart entre enseignants0,275 · 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 source (Gemma direct ou Codex distillé), 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

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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