Comparative Efficacy of Seven Biologics for Chronic Rhinosinusitis With Nasal Polyps: A Network Meta‐Analysis

医学 慢性鼻-鼻窦炎 鼻息肉 鼻塞 内科学 哮喘 随机对照试验 临床试验 鼻窦炎 鼻子 皮肤病科 梅德林 内型 显著性差异 子群分析 考试(生物学)
作者
Shenglong Xu,Shiru Cai,Yan Zhao,Luo Zhang
出处
期刊:Allergy [Wiley]
卷期号:81 (5): 1605-1616
标识
DOI:10.1111/all.70352
摘要

BACKGROUND: Multiple randomized controlled trials (RCTs) of biologics for chronic rhinosinusitis with nasal polyps (CRSwNP) have expanded treatment options. This network meta-analysis (NMA) aimed to synthesize available evidence to compare the efficacy of these biologics. METHODS: A systematic literature search was conducted. Primary outcomes were nasal polyp score (NPS) and nasal congestion score (NCS), while secondary outcomes included the 22-item Sino-Nasal Outcome Test score, loss of smell score, the University of Pennsylvania Smell Identification Test score, and the Lund-Mackay score. A Bayesian random-effects NMA model was applied. Rank probabilities and mean differences were calculated to compare the biologics at Week 24 and at the end of follow-up (> 48 weeks), and the probabilities that the top-ranked biologic exceeded others by the between-group minimal important difference (MID) were estimated. RESULTS: A total of 13 trials involving seven biologics were included. Dupilumab, stapokibart, and tezepelumab demonstrated more favorable efficacy profiles across NPS, NCS, and secondary outcomes compared with omalizumab, mepolizumab, depemokimab, and benralizumab, forming a distinct top tier. The probabilities of exceeding MID thresholds between these three biologics were generally low, suggesting limited clinically meaningful differences among them. Subgroup analyses showed no significant differences in treatment effects between patients with and without comorbid asthma or prior nasal surgery. CONCLUSIONS: Dupilumab, stapokibart, and tezepelumab may be considered leading options for patients with CRSwNP. Nevertheless, additional head-to-head trials and real-world studies are warranted to further validate these findings and inform optimal biologic selection.
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