The importance of collecting structured clinical information on multiple sclerosis
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
Background: Randomized controlled trials (RCTs) are the 'gold standard' in the generation of drug efficacy and safety evidence. However, enrolment criteria, timelines and atypical comparators of RCTs limit their relevance to standard clinical practice. Discussion: Real-world data (RWD) provide longitudinal information on the comparative effectiveness and tolerability of drugs, as well as their impact on resource use, medical costs, and pharmacoeconomic and patient-reported outcomes. This is particularly important in multiple sclerosis (MS), where economic treatment benefits of long-term disability reduction are a cornerstone of payer drug approvals - these are typically not examined in the RCT itself but modelled using real-world datasets. Importantly, surrogate markers used in RCTs to predict the prevention of long-term disability progression can only truly be assessed through RWD methodologies. Summary: We discuss the differences between RCTs and RWD studies, describe how RWD complements the evidence base from RCTs in MS, summarize the different methods of RWD collection, and explain the importance of structuring data analysis to avoid bias. Guidance on performing and identifying high-quality real-world evidence studies is also provided.
Details
Original language | English |
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Article number | 81 |
Journal | BMC medicine |
Volume | 14 |
Issue number | 1 |
Publication status | Published - 31 May 2016 |
Peer-reviewed | Yes |
External IDs
PubMed | 27246898 |
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Keywords
ASJC Scopus subject areas
Keywords
- Multiple sclerosis, Pharmacoeconomics, Randomised controlled trials, Real-world data, Real-world evidence, Registries