Efficacy and safety of advanced therapies for moderately to severely active ulcerative colitis in induction and maintenance: systematic literature review and Bayesian network meta-analysis
Pourquoi ce travail est dans la base
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Notice bibliographique
Résumé
Aim: Several therapies have recently been licensed for the treatment of patients with moderately to severely active ulcerative colitis (UC). To provide comparative evidence of newly available treatments, Bayesian network meta-analyses were conducted to compare their relative efficacy and safety profiles in both the induction and maintenance phases. Materials & methods: A systematic literature review was conducted to identify the available literature on randomized controlled trials for advanced treatments (AT) of moderately to severely active UC. Bayesian network meta-analyses were used to synthesize evidence on prespecified efficacy and safety outcomes. Primary efficacy end points clinical response and clinical remission were measured at the end of induction and clinical response and clinical remission among induction phase responders were assessed at the end of the maintenance period. Efficacy outcomes were analyzed separately for AT-naive and -experienced populations. Safety outcomes included serious infections over the induction period, and serious infections among others over the maintenance period. Treat-through trial outcomes were adjusted to align with responder rerandomized trial outcomes. Results: The systematic review identified 58 relevant trials of which 28 met criteria for inclusion in the main analysis networks. At the end of the induction period, all treatments were efficacious against placebo for both AT-naive and AT-experienced populations. Upadacitinib 45 mg demonstrated a higher likelihood of clinical response and remission compared with other treatments. Adalimumab had less favorable performance over the induction period. Among induction phase responders, most treatments demonstrated similar efficacy at the end of the maintenance period. Tofacitinib 10 mg was more likely to achieve clinical response and remission than several other treatments in the AT-naive population. In the AT-experienced population, upadacitinib 30 mg demonstrated a higher likelihood of clinical response and remission compared with other treatments. The safety outcomes among treatments were similar. Conclusion: This study provides an updated comparison of treatments for moderately to severely active UC. Most treatments demonstrated comparable efficacy at the end of maintenance. The findings from this study can inform decision making in treatment choice for patients with moderately to severely active UC.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,005 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
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 découle