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3 results on '"Benanti, Paolo"'

1. Robot-assisted rehabilitation for children with neurological disabilities: Results of the Italian consensus conference CICERONE

Author

Saviola, Donatella, Castelli, Enrico, Beretta, Elena, De Tanti, Antonio, Arduini, Francesca, Biffi, Emilia, Colazza, Alessandra, Di Pede, Chiara, Guzzetta, Andrea, Lucarini, Ludovica, Maghini, Irene, Mandalà, Martina, Nespoli, Maurizio, Pavarelli, Claudia, Policastro, Francesca, Polverelli, Marco, Rossi, Andrea, Dei Bambini, Ospedale, Sgandurra, Giuseppina, Boldrini, Paolo, Bonaiuti, Donatella, Mazzoleni, Stefano, Posteraro, Federico, Benanti, Paolo, Draicchio, Francesco, Falabella, Vincenzo, Galeri, Silvia, Gimigliano, Francesca, Grigioni, Mauro, Mazzon, Stefano, Molteni, Franco, Morone, Giovanni, Petrarca, Maurizio, Picelli, Alessandro, Senatore, Michele, Turchetti, Giuseppe, Castelli, E., Beretta, E., De Tanti, A., Arduini, F., Biffi, E., Colazza, A., Di Pede, C., Guzzetta, A., Lucarini, L., Maghini, I., Mandala, M., Nespoli, M., Pavarelli, C., Policastro, F., Polverelli, M., Rossi, A., Sgandurra, G., Boldrini, P., Bonaiuti, D., Mazzoleni, S., Posteraro, F., Benanti, P., Draicchio, F., Falabella, V., Galeri, S., Gimigliano, F., Grigioni, M., Mazzon, S., Molteni, F., Morone, G., Petrarca, M., Picelli, A., Senatore, M., Turchetti, G., and Saviola, D.

Subjects
children, Robot, robots, lower limb, Physical Therapy, Sports Therapy and Rehabilitation, Neurology (clinical), upper limb, gait, Robots, rehabilitation
Abstract

BACKGROUND: The use of robotic technologies in pediatric rehabilitation has seen a large increase, but with a lack of a comprehensive framework about their effectiveness. OBJECTIVE: An Italian Consensus Conference has been promoted to develop recommendations on these technologies: definitions and classification criteria of devices, indications and limits of their use in neurological diseases, theoretical models, ethical and legal implications. In this paper, we present the results for the pediatric age. METHODS: A systematic search on Cochrane Library, PEDro and PubMed was performed. Papers published up to March 1st, 2020, in English, were included and analyzed using the methodology of the Centre for Evidence-Based Medicine in Oxford, AMSTAR2 and PEDro scales for systematic reviews and RCT, respectively. RESULTS: Some positives aspects emerged in the area of gait: an increased number of children reaching the stance, an improvement in walking distance, speed and endurance. Critical aspects include the heterogeneity of the studied cases, measurements and training protocols. CONCLUSION: Many studies demonstrate the benefits of robotic training in developmental age. However, it is necessary to increase the number of trials to achieve greater homogeneity between protocols and to confirm the effectiveness of pediatric robotic rehabilitation.

Published
2022

2. Balance Rehabilitation through Robot-Assisted Gait Training in Post-Stroke Patients: A Systematic Review and Meta-Analysis.

Author

Loro, Alberto, Borg, Margherita Beatrice, Battaglia, Marco, Amico, Angelo Paolo, Antenucci, Roberto, Benanti, Paolo, Bertoni, Michele, Bissolotti, Luciano, Boldrini, Paolo, Bonaiuti, Donatella, Bowman, Thomas, Capecci, Marianna, Castelli, Enrico, Cavalli, Loredana, Cinone, Nicoletta, Cosenza, Lucia, Di Censo, Rita, Di Stefano, Giuseppina, Draicchio, Francesco, and Falabella, Vincenzo

Subjects
BODY-weight-supported treadmill training, GAIT in humans, CLINICAL trials, REHABILITATION, STROKE
Abstract

Background: Balance impairment is a common disability in post-stroke survivors, leading to reduced mobility and increased fall risk. Robotic gait training (RAGT) is largely used, along with traditional training. There is, however, no strong evidence about RAGT superiority, especially on balance. This study aims to determine RAGT efficacy on balance of post-stroke survivors. Methods: PubMed, Cochrane Library, and PeDRO databases were investigated. Randomized clinical trials evaluating RAGT efficacy on post-stroke survivor balance with Berg Balance Scale (BBS) or Timed Up and Go test (TUG) were searched. Meta-regression analyses were performed, considering weekly sessions, single-session duration, and robotic device used. Results: A total of 18 trials have been included. BBS pre-post treatment mean difference is higher in RAGT-treated patients, with a pMD of 2.17 (95% CI 0.79; 3.55). TUG pre-post mean difference is in favor of RAGT, but not statistically, with a pMD of −0.62 (95%CI − 3.66; 2.43). Meta-regression analyses showed no relevant association, except for TUG and treatment duration (β = −1.019, 95% CI − 1.827; −0.210, p-value = 0.0135). Conclusions: RAGT efficacy is equal to traditional therapy, while the combination of the two seems to lead to better outcomes than each individually performed. Robot-assisted balance training should be the focus of experimentation in the following years, given the great results in the first available trials. Given the massive heterogeneity of included patients, trials with more strict inclusion criteria (especially time from stroke) must be performed to finally define if and when RAGT is superior to traditional therapy. [ABSTRACT FROM AUTHOR]

Published
2023
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3. Balance Rehabilitation through Robot-Assisted Gait Training in Post-Stroke Patients: A Systematic Review and Meta-Analysis

Author

Alberto Loro, Margherita Beatrice Borg, Marco Battaglia, Angelo Paolo Amico, Roberto Antenucci, Paolo Benanti, Michele Bertoni, Luciano Bissolotti, Paolo Boldrini, Donatella Bonaiuti, Thomas Bowman, Marianna Capecci, Enrico Castelli, Loredana Cavalli, Nicoletta Cinone, Lucia Cosenza, Rita Di Censo, Giuseppina Di Stefano, Francesco Draicchio, Vincenzo Falabella, Mirko Filippetti, Silvia Galeri, Francesca Gimigliano, Mauro Grigioni, Marco Invernizzi, Johanna Jonsdottir, Carmelo Lentino, Perla Massai, Stefano Mazzoleni, Stefano Mazzon, Franco Molteni, Sandra Morelli, Giovanni Morone, Antonio Nardone, Daniele Panzeri, Maurizio Petrarca, Federico Posteraro, Andrea Santamato, Lorenza Scotti, Michele Senatore, Stefania Spina, Elisa Taglione, Giuseppe Turchetti, Valentina Varalta, Alessandro Picelli, Alessio Baricich, Loro, Alberto, Borg, Margherita Beatrice, Battaglia, Marco, Amico, Angelo Paolo, Antenucci, Roberto, Benanti, Paolo, Bertoni, Michele, Bissolotti, Luciano, Boldrini, Paolo, Bonaiuti, Donatella, Bowman, Thoma, Capecci, Marianna, Castelli, Enrico, Cavalli, Loredana, Cinone, Nicoletta, Cosenza, Lucia, Di Censo, Rita, Di Stefano, Giuseppina, Draicchio, Francesco, Falabella, Vincenzo, Filippetti, Mirko, Galeri, Silvia, Gimigliano, Francesca, Grigioni, Mauro, Invernizzi, Marco, Jonsdottir, Johanna, Lentino, Carmelo, Massai, Perla, Mazzoleni, Stefano, Mazzon, Stefano, Molteni, Franco, Morelli, Sandra, Morone, Giovanni, Nardone, Antonio, Panzeri, Daniele, Petrarca, Maurizio, Posteraro, Federico, Santamato, Andrea, Scotti, Lorenza, Senatore, Michele, Spina, Stefania, Taglione, Elisa, Turchetti, Giuseppe, Varalta, Valentina, Picelli, Alessandro, and Baricich, Alessio

Subjects
balance, gait, rehabilitation, robotics, stroke, robotic, General Neuroscience
Abstract

Background: Balance impairment is a common disability in post-stroke survivors, leading to reduced mobility and increased fall risk. Robotic gait training (RAGT) is largely used, along with traditional training. There is, however, no strong evidence about RAGT superiority, especially on balance. This study aims to determine RAGT efficacy on balance of post-stroke survivors. Methods: PubMed, Cochrane Library, and PeDRO databases were investigated. Randomized clinical trials evaluating RAGT efficacy on post-stroke survivor balance with Berg Balance Scale (BBS) or Timed Up and Go test (TUG) were searched. Meta-regression analyses were performed, considering weekly sessions, single-session duration, and robotic device used. Results: A total of 18 trials have been included. BBS pre-post treatment mean difference is higher in RAGT-treated patients, with a pMD of 2.17 (95% CI 0.79; 3.55). TUG pre-post mean difference is in favor of RAGT, but not statistically, with a pMD of −0.62 (95%CI − 3.66; 2.43). Meta-regression analyses showed no relevant association, except for TUG and treatment duration (β = −1.019, 95% CI − 1.827; −0.210, p-value = 0.0135). Conclusions: RAGT efficacy is equal to traditional therapy, while the combination of the two seems to lead to better outcomes than each individually performed. Robot-assisted balance training should be the focus of experimentation in the following years, given the great results in the first available trials. Given the massive heterogeneity of included patients, trials with more strict inclusion criteria (especially time from stroke) must be performed to finally define if and when RAGT is superior to traditional therapy.

Published
2023

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