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Published on: September 12, 2016
Immunomodulators and immunosuppressants for relapsing-remitting multiple sclerosis: a network meta-analysis
Marien Gonzalez-Lorenzo1, Ben Ridley2, Silvia Minozzi3
1Laboratorio di Metodologia delle revisioni sistematiche e produzione di Linee Guida, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
This network meta-analysis found that natalizumab, cladribine, and alemtuzumab significantly reduce relapses in relapsing-remitting multiple sclerosis (RRMS) over two years. However, most disease-modifying therapies (DMTs) increase treatment discontinuation due to adverse events.
Area of Science:
- Neurology
- Immunology
- Pharmacology
Background:
- Relapsing-remitting multiple sclerosis (RRMS) has multiple therapeutic strategies, including immunomodulators, immunosuppressants, and biological agents.
- The comparative efficacy and safety of these diverse treatments for RRMS remain unclear.
- This study updates a previous Cochrane review to provide current evidence on RRMS therapies.
Approach:
- A network meta-analysis was conducted, synthesizing data from 50 randomized controlled trials involving 36,541 participants.
- Direct and indirect evidence were considered, with placebo serving as the common comparator.
- The GRADE approach was used to assess the certainty of the evidence for various outcomes.
Key Points:
- High-certainty evidence shows natalizumab, cladribine, and alemtuzumab significantly reduce relapses at 24 months.
- Moderate-certainty evidence suggests natalizumab may slow disability worsening over 24 months.
- Most disease-modifying therapies (DMTs) are associated with increased treatment discontinuation due to adverse events, with alemtuzumab showing fewer discontinuations.
Conclusions:
- Natalizumab, cladribine, and alemtuzumab are highly effective in reducing relapses in RRMS over two years.
- Long-term efficacy and safety data beyond two years are insufficient, highlighting a need for longer follow-up studies.
- Future research should focus on direct comparisons between active agents and patient-relevant outcomes like quality of life.
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