Evidence map›Paper›PMID 39390289›Full record

SynthesisJournal of neurology2024

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

Salvatore Facciorusso, Calogero Malfitano, Martino Giordano, Matteo Johann Del Furia, Bianca Mosconi, Chiara Arienti, Claudio Cordani

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Electromechanical-assisted training for walking after stroke.The Cochrane database of systematic reviews · 2025
    Pooled it
  2. Trial
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Salvatore Facciorusso *Spasticity and Movement Disorders "ReSTaRt", Physical Medicine and Rehabilitation Section, Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy.
Calogero Malfitano *Department of Biomedical Sciences for Health, University "La Statale", Milan, Italy.
Martino GiordanoUnit of Pulmonary Rehabilitation, Research Hospital of Casatenovo, Italian National Research Centre on Aging (INRCA), Casatenovo, Italy.
Matteo Johann Del FuriaDepartment of Biomedical, Surgical and Dental Sciences, University "La Statale", Milan, Italy.
Bianca MosconiIRCCS Fondazione Don Carlo Gnocchi, Via A. Capecelatro 66, 20148, Milan, Italy. bmosconi@dongnocchi.it.ORCID http://orcid.org/0000-0002-9916-5600
Chiara ArientiClinical Epidemiology and Research Center, Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
Claudio CordaniDepartment of Biomedical, Surgical and Dental Sciences, University "La Statale", Milan, Italy.

Funding

Ministero della Salute Ricerca corrente
6 · The paper itself

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.

Indexed as

Gait Disorders, NeurologicMultiple SclerosisPostural BalanceRoboticsExercise TherapyGaitHumansNeurological RehabilitationGaitMultiple sclerosisRehabilitationRoboticsSystematic review

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.