Filippi M, Bar-Or A, Piehl F, Preziosa P, Solari A, Vukusic S, Rocca MA (2018) Multiple sclerosis. Nat Rev Dis Primers 4(1):43. https://doi.org/10.1038/s41572-018-0041-4. (Erratum.In:NatRevDisPrimers.2018Nov22;4(1):49)

Article  PubMed  Google Scholar 

Walton C, King R, Rechtman L, Kaye W, Leray E, Marrie RA, Robertson N, La Rocca N, Uitdehaag B, van der Mei I, Wallin M, Helme A, Angood Napier C, Rijke N, Baneke P (2020) Rising prevalence of multiple sclerosis worldwide: Insights from the Atlas of MS, third edition. Mult Scler 26(14):1816–1821. https://doi.org/10.1177/1352458520970841

Article  PubMed  PubMed Central  Google Scholar 

GBD 2015 Neurological Disorders Collaborator Group (2017) Global, regional, and national burden of neurological disorders during 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet Neurol 16(11):877–897. https://doi.org/10.1016/S1474-4422(17)30299-5

Article  Google Scholar 

Cameron MH, Nilsagard Y (2018) Balance, gait, and falls in multiple sclerosis. Handb Clin Neurol 159:237–250. https://doi.org/10.1016/B978-0-444-63916-5.00015-X

Article  PubMed  Google Scholar 

Gustavsen S, Olsson A, Søndergaard HB, Andresen SR, Sørensen PS, Sellebjerg F, Oturai A (2021) The association of selected multiple sclerosis symptoms with disability and quality of life: a large Danish self-report survey. BMC Neurol 21(1):317. https://doi.org/10.1186/s12883-021-02344-z

Article  CAS  PubMed  PubMed Central  Google Scholar 

Goldschmidt C, McGinley MP (2021) Advances in the treatment of multiple sclerosis. Neurol Clin 39(1):21–33. https://doi.org/10.1016/j.ncl.2020.09.002

Article  PubMed  Google Scholar 

Lunde HMB, Assmus J, Myhr KM, Bø L, Grytten N (2017) Survival and cause of death in multiple sclerosis: a 60-year longitudinal population study. J Neurol Neurosurg Psychiatry 88(8):621–625. https://doi.org/10.1136/jnnp-2016-315238

Article  PubMed  Google Scholar 

Fakolade A, Akbar N, Mehelay S, Phadke S, Tang M, Alqahtani A, Pullattayil AK, Busse M (2023) Mapping two decades of multiple sclerosis rehabilitation trials: a systematic scoping review and call to action to advance the study of race and ethnicity in rehabilitation research. Mult Scler Relat Disord 72:104606. https://doi.org/10.1016/j.msard.2023.104606

Article  PubMed  Google Scholar 

Amatya B, Khan F, Galea M (2019) Rehabilitation for people with multiple sclerosis: an overview of Cochrane reviews. Cochrane Database Syst Rev 1(1):C012732. https://doi.org/10.1002/14651858.CD012732.pub2

Article  Google Scholar 

Zielińska-Nowak E, Włodarczyk L, Kostka J, Miller E (2020) New Strategies for rehabilitation and pharmacological treatment of fatigue syndrome in multiple sclerosis. J Clin Med 9(11):3592. https://doi.org/10.3390/jcm9113592

Article  CAS  PubMed  PubMed Central  Google Scholar 

Cordani C, Valsasina P, Preziosa P, Meani A, Filippi M, Rocca MA (2021) Action observation training promotes motor improvement and modulates functional network dynamic connectivity in multiple sclerosis. Mult Scler 27(1):139–146. https://doi.org/10.1177/1352458519887332

Article  CAS  PubMed  Google Scholar 

Feinstein A, Amato MP, Brichetto G, Chataway J, Chiaravalloti ND, Cutter G, Dalgas U, DeLuca J, Farrell R, Feys P, Filippi M, Freeman J, Inglese M, Meza C, Motl RW, Rocca MA, Sandroff BM, Salter A, CogEx Research Team (2023) Cognitive rehabilitation and aerobic exercise for cognitive impairment in people with progressive multiple sclerosis (CogEx): a randomised, blinded, sham-controlled trial. Lancet Neurol 22(10):912–924. https://doi.org/10.1016/S1474-4422(23)00280-6

Article  PubMed  Google Scholar 

Rocca MA, Valsasina P, Romanò F, Tedone N, Amato MP, Brichetto G, Boccia VD, Chataway J, Chiaravalloti ND, Cutter G, Dalgas U, DeLuca J, Farrell RA, Feys P, Freeman J, Inglese M, Meza C, Motl RW, Salter A, Sandroff BM, Feinstein A, Filippi M, Cogex Research Team (2024) Cognitive rehabilitation effects on grey matter volume and Go-NoGo activity in progressive multiple sclerosis: results from the CogEx trial. J Neurol Neurosurg Psychiatry. https://doi.org/10.1136/jnnp-2024-333460

Article  PubMed  Google Scholar 

Rocca MA, Romanò F, Tedone N, Filippi M (2024) Advanced neuroimaging techniques to explore the effects of motor and cognitive rehabilitation in multiple sclerosis. J Neurol. https://doi.org/10.1007/s00415-024-12395-0

Article  PubMed  PubMed Central  Google Scholar 

Binshalan T, Nair KPS, McNeill A (2022) The effectiveness of physiotherapy interventions for mobility in severe multiple sclerosis: a systematic review and meta-analysis. Mult Scler Int 11(2022):2357785. https://doi.org/10.1155/2022/2357785

Article  Google Scholar 

Bonanno M, Maggio MG, Ciatto L, De Luca R, Quartarone A, Alibrandi A, Calabrò RS (2024) Can robotic gait training with end effectors improve lower-limb functions in patients affected by multiple sclerosis? results from a retrospective case-control study. J Clin Med 13(6):1545. https://doi.org/10.3390/jcm13061545

Article  PubMed  PubMed Central  Google Scholar 

Warutkar V, Dadgal R, Mangulkar UR (2022) Use of robotics in gait rehabilitation following stroke: a review. Cureus 14(11):e31075. https://doi.org/10.7759/cureus.31075

Article  PubMed  PubMed Central  Google Scholar 

Bin L, Wang X, Jiatong H, Donghua F, Qiang W, Yingchao S, Yiming M, Yong M (2023) The effect of robot-assisted gait training for patients with spinal cord injury: a systematic review and meta-analysis. Front Neurosci 22(17):1252651. https://doi.org/10.3389/fnins.2023.1252651

Article  Google Scholar 

Yang FA, Lin CL, Huang WC, Wang HY, Peng CW, Chen HC (2023) Effect of robot-assisted gait training on multiple sclerosis: a systematic review and meta-analysis of randomized controlled trials. Neurorehabil Neural Repair 37(4):228–239. https://doi.org/10.1177/15459683231167850

Article  PubMed  Google Scholar 

Calabro RS, Cassio A, Mazzoli D, Andrenelli E, Bizzarini E, Campanini I et al. (2021) What does evidence tell us about the use of gait robotic devices in patients with multiple sclerosis? A comprehensive systematic review on functional outcomes and clinical recommendations. Eur J Phys Rehabil Med 57(5):841–849. https://doi.org/10.23736/S1973-9087.21.06915-X

Article  PubMed  Google Scholar 

Moher D, Liberati A, Tetzlaff J, Altman DG, PRISMA Group (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med 6(7):e1000097. https://doi.org/10.1371/journal.pmed.1000097

Article  PubMed  PubMed Central  Google Scholar 

Thompson AJ, Banwell BL, Barkhof F, Carroll WM, Coetzee T, Comi G, Correale J, Fazekas F, Filippi M, Freedman MS, Fujihara K, Galetta SL, Hartung HP, Kappos L, Lublin FD, Marrie RA, Miller AE, Miller DH, Montalban X, Mowry EM, Sorensen PS, Tintoré M, Traboulsee AL, Trojano M, Uitdehaag BMJ, Vukusic S, Waubant E, Weinshenker BG, Reingold SC, Cohen JA (2018) Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol 17(2):162–173. https://doi.org/10.1016/S1474-4422(17)30470-2

Article  PubMed  Google Scholar 

Veerbeek JM, Langbroek-Amersfoort AC, van Wegen EE, Meskers CG, Kwakkel G (2017) Effects of robot-assisted therapy for the upper limb after stroke. Neurorehabil Neural Repair 31(2):107–121. https://doi.org/10.1177/1545968316666957

Article  PubMed  Google Scholar 

Mehrholz J, Pohl M, Platz T, Kugler J, Elsner B (2018) Electromechanical and robot-assisted arm training for improving activities of daily living, arm function, and arm muscle strength after stroke. Cochrane Database Syst Rev 9:CD006876. https://doi.org/10.1002/14651858.CD006876.pub5

Article  PubMed  Google Scholar 

Arienti C, Buraschi R, Pollet J, Lazzarini SG, Cordani C, Negrini S, Gobbo M (2022) A systematic review opens the black box of “usual care” in stroke rehabilitation control groups and finds a black hole. Eur J Phys Rehabil Med 58(4):520–529. https://doi.org/10.23736/S1973-9087.22.07413-5

Article  PubMed  PubMed Central  Google Scholar 

Bramer WM, Giustini D, de Jonge GB, Holland L, Bekhuis T (2016) De-duplication of database search results for systematic reviews in EndNote. J Med Libr Assoc 104(3):240–243. https://doi.org/10.3163/1536-5050.104.3.014

Article  PubMed  PubMed Central  Google Scholar 

Higgins JPT, Altman DG, Sterne JAC, (editors). Chapter 8: Assessing risk of bias in included studies. In: Higgins JPT, Churchill R, Chandler J, Cumpston MS (editors), Cochrane Handbook for Systematic Reviews of Interventions version 5.2.0 (updated June 2017). The Cochrane Collaboration, 2017. Available from www.training.cochrane.org/handbook/archive/v5.2/.

DerSimonian R, Laird N (1986) Meta-analysis in clinical trials. Control Clin Trials 7(3):177–188. https://doi.org/10.1016/0197-2456(86)90046-2

Article  CAS  PubMed  Google Scholar 

Higgins JPT, Li T, Deeks JJ, (editors). Chapter 6: Choosing effect measures and computing estimates of effect. In: Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA (editors). Cochrane Handbook for Systematic Reviews of Interventions version 6.4 (updated August 2023). Cochrane, 2023. Available from www.training.cochrane.org/handbook.

Deeks JJ, Higgins JPT, Altman DG, (editors). Chapter 10: Analysing data and undertaking meta-analyses. In: Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA (editors). Cochrane Handbook for Systematic Reviews of Interventions version 6.4 (updated August 2023). Cochrane, 2023. Available from www.training.cochrane.org/handbook.