ArticleJournal of neurology2025
Immunotherapies in neuromyelitis optica: Bayesian network meta-analysis.
Article in Journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere are numerous immunotherapies that are effective in preventing relapses in neuromyelitis optica spectrum disorder (NMO-SD). With head-to-head clinical trials between immunotherapies lacking, Bayesian network meta-analysis can be used to compare treatment interventions. Previous network meta-analyses have compared monoclonal antibodies but either not included newer complement inhibitors or earlier immunotherapies such as rituximab or tocilizumab.
objectiveTo compare immunosuppressive treatments used in relapse prevention in NMO-SD.
methodsPubMed, EMBASE and Scopus were searched for randomised controlled trials until 20th September, 2024. Search terms strategy included neuromyelitis optica, antibody and relapse. Randomised controlled trials testing immunotherapies used in relapse reduction in NMO-SD were included. Of 550 studies screened, 8 clinical trials initially met inclusion criteria. The study was performed according to PRISMA guidelines by multiple observers. Bayesian fixed-effect network meta-analysis was conducted. The primary outcome was time to relapse. The secondary outcome was annualised relapse rate. Sensitivity analysis was undertaken in seropositive patients. Treatments were ranked using a probability measure called surface under the cumulative rank curve (SUCRA).
resultsEight studies were included that contained a total 851 patients [716 (84%) seropositive]. There were six treatment interventions-ravulizumab, eculizumab, tocilizumab, rituximab, inebilizumab, satralizumab and the control arm (placebo/azathioprine). Ravulizumab was the ideal treatment (HR 0.00 (95%CrI 0.00-0.03), SUCRA 0.99) with a 98% probability of being the superior treatment in increasing time to relapse in NMO-SD. This was supported by secondary analysis of annualised relapse rate and the sensitivity analysis in seropositive patients. DISCUSSION: These findings suggest that ravulizumab had the highest probability of being the most superior treatment in decreasing relapse risk in NMO-SD.
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