Predictors of Relapsing MOGAD: A Scoping Review
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Publication date
2024-03-01Creators
Tanasescu, Radu
Human, Matthew
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Before This scoping review was conducted with the aim of generating an understanding of the current literature about predictors of relapsing myelin oligodendrocyte glycoprotein antibody associated disease (R-MOGAD). The primary outcome was to identify the most suitable predictors to be inputted into the primary analysis of the statistical model for the Study Protocol - modelling predictors for relapsing disease in MOGAD, doi.org/10.17639/nott.7368. Choosing the right independent variables that are causative and not confounding is key to a successful logistic regression model. The secondary outcome was to find alternative, less investigated potential predictors to be inputted into the model as a sensitivity analysis. It also provided guidance on what future research should focus on by contextualising each predictor and their given parameters.
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Subjects
- Central nervous system -- Diseases
- Autoimmune diseases
- Diseases -- Relapse
- Immunologic Diseases
- Autoimmune Diseases of the Nervous System
- mogad, relapse, myelin oligodendrocyte glycoprotein antibodies
- Subjects Allied to Medicine::Anatomy, physiology & pathology::Pathology
- W Medicine and related subjects (NLM Classification)::WL Nervous system
Divisions
- University of Nottingham, UK Campus
- University of Nottingham, UK Campus::Faculty of Medicine and Health Sciences::School of Health Sciences
Deposit date
2024-03-01Data type
scoping reviewFunders
- Medical Research Council
- MRC
Grant number
- MR/T024402/1
Collection dates
- up to 12/10/2023
Data collection method
database searchResource languages
- en