Overview of Differences and Similarities of Published Mixed Treatment Comparisons on Pharmaceutical Interventions for Multiple Sclerosis

Springer Science and Business Media LLC - Tập 9 - Trang 335-358 - 2020
Maria Pia Sormani1, Robert Wolff2, Shona Lang2, Steven Duffy2, Robert Hyde3, Elizabeth Kinter3, Craig Wakeford3, Gavin Giovannoni4, Jos Kleijnen5
1Department of Health Sciences, University of Genoa, Genoa, Italy
2Kleijnen Systematic Reviews Ltd, York, UK
3Biogen, Cambridge, USA
4Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
5School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands

Tóm tắt

Mixed treatment comparisons (MTCs) are increasingly important in the assessment of the benefit–risk profile of pharmaceutical treatments for relapsing–remitting multiple sclerosis (RRMS). Interpretation of MTCs requires a clear understanding of the methods of analysis and population studied. The objectives of this work were to compare MTCs of pharmaceutical treatments for RRMS, including a detailed description of differences in populations, treatments assessed, methods used and findings; and to discuss key considerations when conducting an MTC. Fourteen databases were searched until July 2019 to identify MTCs (published during or after 2010) in adults (at least 18 years of age) with RRMS or rapidly evolving severe RRMS treated with any form of pharmaceutical treatment. No language restriction was imposed. Twenty-seven MTCs assessing 21 treatments were identified. Comparison highlighted many differences in conduct and reporting between MTCs relating to the patient populations or treatments included, duration of follow-up and outcomes of interest measured. The lack of similarity between the MTCs leads to questions about variability in the robustness of analyses and makes comparisons between studies challenging. Given the importance of MTCs for healthcare decision-making, it is imperative that reporting of methods, results and assumptions is clear and transparent to allow accurate interpretation of findings. For MTCs to be relevant, the choice of outcome measures should reflect clinical practice. Combination of treatments or of outcomes measured at different points of time should be avoided, as should imputation without justification. Furthermore, all approved treatment options should be included and updates of MTCs should be conducted when data for new treatments are published.

Tài liệu tham khảo

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