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For: Calabrò RS, Sorrentino G, Cassio A, Mazzoli D, Andrenelli E, Bizzarini E, Campanini I, Carmignano SM, Cerulli S, Chisari C, Colombo V, Dalise S, Fundarò C, Gazzotti V, Mazzoleni D, Mazzucchelli M, Melegari C, Merlo A, Stampacchia G, Boldrini P, Mazzoleni S, Posteraro F, Benanti P, Castelli E, Draicchio F, Falabella V, Galeri S, Gimigliano F, Grigioni M, Mazzon S, Molteni F, Morone G, Petrarca M, Picelli A, Senatore M, Turchetti G, Bonaiuti D; Italian Consensus Conference on Robotics in Neurorehabilitation (CICERONE). Robotic-assisted gait rehabilitation following stroke: a systematic review of current guidelines and practical clinical recommendations. Eur J Phys Rehabil Med 2021;57:460-71. [PMID: 33947828 DOI: 10.23736/S1973-9087.21.06887-8] [Cited by in Crossref: 10] [Cited by in F6Publishing: 11] [Article Influence: 10.0] [Reference Citation Analysis]
Number Citing Articles
1 Imoto D, Hirano S, Mukaino M, Saitoh E, Otaka Y. A novel gait analysis system for detecting abnormal hemiparetic gait patterns during robot-assisted gait training: A criterion validity study among healthy adults. Front Neurorobot 2022;16. [DOI: 10.3389/fnbot.2022.1047376] [Reference Citation Analysis]
2 Li JQ, Sun YW, So WS, Sidarta A, Kwong PW. A Comprehensive Appraisal of Meta-Analyses of Exercise-Based Stroke Rehabilitation with Trial Sequential Analysis. Healthcare (Basel) 2022;10:1984. [PMID: 36292431 DOI: 10.3390/healthcare10101984] [Reference Citation Analysis]
3 Meng G, Ma X, Chen P, Xu S, Li M, Zhao Y, Jin A, Liu X. Effect of early integrated robot-assisted gait training on motor and balance in patients with acute ischemic stroke: a single-blinded randomized controlled trial. Ther Adv Neurol Disord 2022;15:17562864221123195. [PMID: 36147622 DOI: 10.1177/17562864221123195] [Reference Citation Analysis]
4 Lin W, Meng L, Lou W, Yang P, Huang M, Chen D. Using Logistic Multivariate Analysis to Explore the Effects of Nursing and Psychological Factors on Motor and Cognitive Rehabilitation in Patients with Stroke: Based on a Retrospective Case-Control Study. Computational Intelligence and Neuroscience 2022;2022:1-8. [DOI: 10.1155/2022/1411670] [Reference Citation Analysis]
5 Labruyère R. Robot-assisted gait training: more randomized controlled trials are needed! Or maybe not? J Neuroeng Rehabil 2022;19:58. [PMID: 35676742 DOI: 10.1186/s12984-022-01037-z] [Reference Citation Analysis]
6 Hamedani M, Prada V, Tognetti P, Leoni V, Schenone A. Robot-assisted and traditional intensive rehabilitation therapy in the treatment of post-acute stroke patient: the experience of a standard rehabilitation ward. Neurol Sci 2022;43:3999-4001. [DOI: 10.1007/s10072-022-06041-8] [Reference Citation Analysis]
7 Lorusso M, Tramontano M, Casciello M, Pece A, Smania N, Morone G, Tamburella F. Efficacy of Overground Robotic Gait Training on Balance in Stroke Survivors: A Systematic Review and Meta-Analysis. Brain Sciences 2022;12:713. [DOI: 10.3390/brainsci12060713] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Rupp R, Wirz M. Implementation of Robots into Rehabilitation Programs: Meeting the Requirements and Expectations of Professional and End Users. Neurorehabilitation Technology 2022. [DOI: 10.1007/978-3-031-08995-4_13] [Reference Citation Analysis]
9 Mitsutake T, Imura T, Hori T, Sakamoto M, Tanaka R. Effects of Combining Online Anodal Transcranial Direct Current Stimulation and Gait Training in Stroke Patients: A Systematic Review and Meta-Analysis. Front Hum Neurosci 2021;15:782305. [PMID: 34955795 DOI: 10.3389/fnhum.2021.782305] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
10 Maccioni G, Ruscitto S, Gulino RA, Giansanti D. Opportunities and Problems of the Consensus Conferences in the Care Robotics. Healthcare (Basel) 2021;9:1624. [PMID: 34946350 DOI: 10.3390/healthcare9121624] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
11 Calabrò RS, Morone G, Naro A, Gandolfi M, Liotti V, D'aurizio C, Straudi S, Focacci A, Pournajaf S, Aprile I, Filoni S, Zanetti C, Leo MR, Tedesco L, Spina V, Chisari C, Taveggia G, Mazzoleni S, Smania N, Paolucci S, Franceschini M, Bonaiuti D. Robot-Assisted Training for Upper Limb in Stroke (ROBOTAS): An Observational, Multicenter Study to Identify Determinants of Efficacy. J Clin Med 2021;10:5245. [PMID: 34830527 DOI: 10.3390/jcm10225245] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]