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Reliability in long-term clinical studies of disease-modifying therapies for relapsing-remitting multiple sclerosis: A systematic review.

Rosa Camila LucchettaLetícia P LeonartMarcus V M GonçalvesJefferson BeckerRoberto PontaroloFernando Fernandez-LlimósAstrid Wiens
Published in: PloS one (2020)
The currently available long-term data for patients with RRMS exhibit serious or critical risks of bias that preclude robust comparisons between long-term studies. High quality comparative observational studies with long-term follow-ups or RCT extensions with intention-to-treat analyses are needed to support clinical and regulatory practice. Until reliable long-term evidence is available, neurologists should continue to base their conduct on mid-term studies, patient`s experience and, most importantly, patient`s needs and predictor factors, according to personalized medicine.
Keyphrases
  • multiple sclerosis
  • primary care
  • healthcare
  • rheumatoid arthritis
  • machine learning
  • risk assessment
  • white matter
  • deep learning
  • quality improvement
  • case control
  • disease activity
  • electronic health record