Effectiveness of robotic rehabilitation for gait and balance in people with multiple sclerosis: a systematic review

J Neurol. 2024 Nov;271(11):7141-7155. doi: 10.1007/s00415-024-12715-4. Epub 2024 Oct 10.

Abstract

This review investigated the effectiveness of robotic-assisted gait training (RAGT) in improving gait and balance performance in adults with multiple sclerosis (MS). Databases and registers were searched from inception to December 2023 to identify randomized controlled trials (RCTs) that analyzed the effects of RAGT on gait speed, function, balance, fatigue, and adverse events. Three reviewers screened studies for eligibility and extracted key information such as participants and intervention characteristics, as well as outcomes of interest. The reviewers assessed the risk of bias of included studies using Cochrane Risk of Bias tool. From the 948 records identified, 8 RCTs were included, involving 335 participants. The studies have demonstrated significant heterogeneity in patient characteristics, intervention protocols, and outcomes measured. The risk of bias assessment revealed concerns, mainly in terms of performance and detection bias. The evidence is uncertain on the effectiveness of RAGT on balance and gait in people with MS, but a multimodal rehabilitation approach, including RAGT, should be encouraged. No serious adverse events seem to be associated with RAGT, suggesting that these interventions are generally safe for use in people with MS. Further studies of higher methodological quality should be led to confirm these positive results.

Keywords: Gait; Multiple sclerosis; Rehabilitation; Robotics; Systematic review.

Publication types

  • Systematic Review
  • Review

MeSH terms

  • Exercise Therapy / methods
  • Gait / physiology
  • Gait Disorders, Neurologic* / etiology
  • Gait Disorders, Neurologic* / rehabilitation
  • Humans
  • Multiple Sclerosis* / complications
  • Multiple Sclerosis* / rehabilitation
  • Neurological Rehabilitation / methods
  • Postural Balance* / physiology
  • Robotics*