Explore the groundbreaking strides in multiple sclerosis research with our deep dive into the newly recommended core dataset for real-world data, a game-changer for patient registries and cohorts worldwide.
– by James
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Introducing a core dataset for real-world data in multiple sclerosis registries and cohorts: Recommendations from a global task force.
Parciak et al., Mult Scler 2023
DOI: 10.1177/13524585231216004
New Development:
A core dataset for multiple sclerosis (MS) has been established, consisting of 44 variables across eight categories, to standardize real-world data (RWD) collection across observational registries and cohorts.
Importance:
This dataset aims to facilitate data harmonization and enhance scientific collaboration in MS research, which was previously hindered by the lack of a standardized set of data elements.
Contribution to Literature:
The MS Data Alliance Core Dataset provides a structured framework for emerging and existing MS registries and cohorts, promoting consistency in data collection. The process of its development, involving a global multi-stakeholder task force, offers a model for efficient dataset definition in other fields.
Categories in the Core Dataset:
- Demographics and comorbidities
- Disease history
- Disease status
- Relapses
- Magnetic resonance imaging (MRI)
- Treatment data
The dataset has been translated into a data dictionary and is publicly available for use, which is expected to accelerate research efforts and improve the quality of MS data analysis.