[Pubmed] Regimen-stratified Bayesian model-based meta-analysis of targeted biologics in generalised myasthenia gravis: e
-
RSS-Bot
Auteur du sujet - Ami(e) de Diamant

- Messages : 6501
- Enregistré le : 31 mai 2020 09:57
- 6
- Zodiaque :
- Âge : 22
- Contact :
[Pubmed] Regimen-stratified Bayesian model-based meta-analysis of targeted biologics in generalised myasthenia gravis: e
Naunyn Schmiedebergs Arch Pharmacol. 2026 Sep 22. doi: 10.1007/s00210-026-05939-w. Online ahead of print.
ABSTRACT
Nine targeted biologics spanning four mechanisms have reached phase III development for generalised myasthenia gravis, yet no cross-programme comparison accounts for the distinct continuous versus cyclical dosing patterns or integrates both patient-reported (MG-ADL) and clinician-assessed (QMG) scales. We performed a regimen-stratified Bayesian model-based meta-analysis (MBMA) to compare efficacy, evaluate mechanism-level class differences, and inform trial design. Longitudinal MG-ADL and QMG data were extracted from nine placebo-controlled phase III trials. Six hierarchical nonlinear Emax models were fitted with inverse-variance weighting. Drug-specific maximum efficacy, net benefit over placebo, week 26 predictions, time to the minimum clinically important difference (MCID), cumulative efficacy, ranking probabilities, and mechanism-level class contrasts were derived. Robustness was assessed via model comparison, prior sensitivity, and Leave-one-study-out analyses on both scales. Endpoint-sensitivity simulation and a treatment-selection framework were appended. The study was registered with PROSPERO: CRD420261288549. On MG-ADL, zilucoplan led with the highest Emax (4.8 points; 95% CrI: 4.2-5.4) and largest net benefit (2.5; 2.0-3.1). On QMG, batoclimab led (Emax 5.9; 4.4-9.5; net benefit 4.1; 2.7-7.7). Efgartigimod achieved the fastest onset on both scales (≤ 1.6 weeks). At the mechanism class level, neonatal Fc receptor (FcRn) inhibitors demonstrated decisive superiority over complement inhibitors on QMG (mean Emax 5.28 vs 3.99; posterior probability 99.7%) while no class difference was observed on MG-ADL (52.5%), identifying a scale-dependent mechanism-efficacy dissociation. The regimen-stratified architecture was decisively favoured over a pooled model (Δ Expected log pointwise predictive density [ELPD] = + 19.8). Drug rankings were invariant across prior specifications and Leave-one-study-out permutations on both scales (maximum rank shift: 1 position). For rozanolixizumab on MG-ADL, snapshot week 26 endpoints were underpowered (65%); integrated endpoints recovered power to 94-95%. In the treatment-selection framework, batoclimab held the highest composite score in all eight priority profiles, while the identity of the runner-up varied with clinical priority. This analysis identifies a novel scale-dependent mechanism-level class effect - FcRn inhibitors outperform complement blockade on objective motor endpoints with near-certainty, while both classes improve patient-reported function equally. Across the multi dimensional treatment-selection framework integrating efficacy, safety, tolerability, and convenience, batoclimab emerged as the highest-ranked agent in all eight clinical priority profiles. These findings provide a pharmacodynamic evidence base for mechanism-guided treatment individualisation and endpoint optimisation in generalised myasthenia gravis.
PMID:42768201 | DOI:10.1007/s00210-026-05939-w
Source: https://pubmed.ncbi.nlm.nih.gov/4276820 ... 1&v=2.20.1
Si vous appréciez notre travail, merci de nous soutenir un petit don en cliquant ICI
Pour obtenir la traduction en français,
cliquez sur le bouton situé dans la barre des menus en haut de cette page

Pour les donateurs, si cet article vous intéresse, nous pouvons faire l’acquisition d'un tiré-à-part.
Merci d'en faire la demande sur [email protected]
Bonne lecture...
Pour obtenir la traduction en français,
cliquez sur le bouton situé dans la barre des menus en haut de cette page

Pour les donateurs, si cet article vous intéresse, nous pouvons faire l’acquisition d'un tiré-à-part.
Merci d'en faire la demande sur [email protected]
Bonne lecture...





