Unknown

Dataset Information

Systematic review of prediction models in relapsing remitting multiple sclerosis.


ABSTRACT: The natural history of relapsing remitting multiple sclerosis (RRMS) is variable and prediction of individual prognosis challenging. The inability to reliably predict prognosis at diagnosis has important implications for informed decision making especially in relation to disease modifying therapies. We conducted a systematic review in order to collate, describe and assess the methodological quality of published prediction models in RRMS. We searched Medline, Embase and Web of Science. Two reviewers independently screened abstracts and full text for eligibility and assessed risk of bias. Studies reporting development or validation of prediction models for RRMS in adults were included. Data collection was guided by the checklist for critical appraisal and data extraction for systematic revie

SUBMITTER: Brown FS 

PROVIDER: S-EPMC7250448 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature