2019
DOI: 10.1016/j.msard.2019.07.006
|View full text |Cite
|
Sign up to set email alerts
|

Observational designs in clinical multiple sclerosis research: Particulars, practices and potentialities

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2020
2020
2021
2021

Publication Types

Select...
2

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 95 publications
(133 reference statements)
0
2
0
Order By: Relevance
“…National registries from European countries, including Sweden, France and Italy have significantly improved our understanding of MS disease trajectories and the influence of treatment on these. 2 MSBase is a collaborative, international disease registry, which captures a range of MS-related data from a large number of countries. 3 More recently, processes for formal data sharing have started to enable the pooling of data from five large registries (Sweden, France, Italy, Denmark, MSBase).…”
Section: Strengths and Limitations Of This Studymentioning
confidence: 99%
“…National registries from European countries, including Sweden, France and Italy have significantly improved our understanding of MS disease trajectories and the influence of treatment on these. 2 MSBase is a collaborative, international disease registry, which captures a range of MS-related data from a large number of countries. 3 More recently, processes for formal data sharing have started to enable the pooling of data from five large registries (Sweden, France, Italy, Denmark, MSBase).…”
Section: Strengths and Limitations Of This Studymentioning
confidence: 99%
“…Moreover, the external validity of trial results is not self-evident, given that patient preferences may differ between regions or countries and preferences may change over time and the ongoing development of the tools. Therefore, prospective observational studies in real-world settings and retrospective studies using large databases are increasingly being considered as alternatives for obtaining actionable data [56,57].…”
Section: Comparison With Prior Workmentioning
confidence: 99%