Matching-adjusted indirect comparison of benralizumab versus interleukin-5 inhibitors for the treatment of severe asthma: a systematic review
Benralizumab is an interleukin-5 receptor α-directed cytolytic monoclonal antibody that directly depletes eosinophils. Its relative efficacy other IL-5-targeted treatments for patients with severe, uncontrolled asthma is not yet fully characterised.We performed a matching-adjusted indirect compariso...
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Veröffentlicht in: | The European respiratory journal 2018-11, Vol.52 (5), p.1801393 |
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Sprache: | eng |
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Zusammenfassung: | Benralizumab is an interleukin-5 receptor α-directed cytolytic monoclonal antibody that directly depletes eosinophils. Its relative efficacy
other IL-5-targeted treatments for patients with severe, uncontrolled asthma is not yet fully characterised.We performed a matching-adjusted indirect comparison (MAIC) of benralizumab
mepolizumab and reslizumab. Trials were selected through systematic review and evaluation of trial methods. Benralizumab patient-level data were weighted to match treatment-effect-modifying patient characteristics of comparator trials before indirect efficacy comparisons.After matching adjustment, benralizumab and mepolizumab reduced exacerbations
placebo by 52% and 49%, respectively (rate ratio [RR] 0.94, 95% CI 0.78-1.13; n=1524) and reduced the rate of exacerbations requiring hospitalisation/emergency department visit by 52% and 52%, respectively (RR 1.00, 95% CI 0.57-1.75; n=1524). Benralizumab and mepolizumab similarly improved pre-bronchodilator forced expiratory volume in 1 s at 32 weeks (difference 0.03 L, 95% CI -0.06-0.12; n=1443). Benralizumab and reslizumab patient populations were too dissimilar to generate a sufficient effective sample size to produce a reliable estimate for MAIC.MAIC is a robust way to indirectly compare treatment efficacies from trials with heterogeneous patient populations. When baseline patient characteristics were matched across asthma trials, benralizumab and mepolizumab yielded similar efficacy. |
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ISSN: | 0903-1936 1399-3003 |
DOI: | 10.1183/13993003.01393-2018 |