Literature DB >> 30849306

Systematic Reviews of Clinical Benefits of Exoskeleton Use for Gait and Mobility in Neurologic Disorders: A Tertiary Study.

Marcel P Dijkers1, Katherine G Akers2, Sabrina Dieffenbach3, Sujay S Galen4.   

Abstract

OBJECTIVE: To describe systematic reviews (SRs) of the use of exoskeletons for gait and mobility by persons with neurologic disorders and to evaluate their quality as guidance for research and clinical practice. DATA SOURCES: PubMed, EMBASE, Web of Science, CINAHL Complete, PsycINFO, Cochrane Database of Systematic Reviews, PEDro, and Google Scholar were searched from database inception to January 23, 2018. STUDY SELECTION: A total of 331 deduplicated abstracts from bibliographic database and ancestor searching were independently screened by 2 reviewers, resulting in 109 articles for which full text was obtained. Independent screening of those 109 articles by 2 reviewers resulted in a final selection of 17 SRs. DATA EXTRACTION: Data were extracted by 1 reviewer using a pretested Excel form with 158 fields and checked by a second reviewer. Key data included the purpose of the SR, methods used, outcome measures presented, and conclusions. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses and A MeaSurement Tool to Assess Systematic Reviews version 2 were used to evaluate reporting and methodological quality, respectively, of the SRs. DATA SYNTHESIS: The SRs generally were of poor methodological and reporting quality. They failed to report some information on patients (eg, height, weight, baseline ambulatory status) and interventions (eg, treatment hours or sessions planned and delivered) that clinicians and other stakeholders might want to have, and often failed to notice that the primary studies duplicated subjects.
CONCLUSIONS: Published SRs on exoskeletons have many weaknesses in design and execution; clinicians, researchers, and other stakeholders should be cautious in relying on them to make decisions on the use of this technology. Future primary and secondary studies need to address the multiple methodological limitations.
Copyright © 2019 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Exoskeleton device; Nervous system diseases; Patient outcome assessment; Rehabilitation; Review; Review literature as topic; Spinal cord injuries; Stroke; Treatment outcome

Year:  2019        PMID: 30849306     DOI: 10.1016/j.apmr.2019.01.025

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  5 in total

Review 1.  Efficacy of Overground Robotic Gait Training on Balance in Stroke Survivors: A Systematic Review and Meta-Analysis.

Authors:  Matteo Lorusso; Marco Tramontano; Matteo Casciello; Andrea Pece; Nicola Smania; Giovanni Morone; Federica Tamburella
Journal:  Brain Sci       Date:  2022-05-31

2.  ALICE: Conceptual Development of a Lower Limb Exoskeleton Robot Driven by an On-Board Musculoskeletal Simulator.

Authors:  Manuel Cardona; Cecilia E García Cena; Fernando Serrano; Roque Saltaren
Journal:  Sensors (Basel)       Date:  2020-01-31       Impact factor: 3.576

Review 3.  Overground robotic training effects on walking and secondary health conditions in individuals with spinal cord injury: systematic review.

Authors:  Federica Tamburella; Matteo Lorusso; Marco Tramontano; Silvia Fadlun; Marcella Masciullo; Giorgio Scivoletto
Journal:  J Neuroeng Rehabil       Date:  2022-03-15       Impact factor: 4.262

4.  Impact of industry sponsorship on the quality of systematic reviews of vaccines: a cross-sectional analysis of studies published from 2016 to 2019.

Authors:  Dawid Pieper; Irma Hellbrecht; Linlu Zhao; Clemens Baur; Georgia Pick; Sarah Schneider; Thomas Harder; Kelsey Young; Andrea C Tricco; Ella Westhaver; Matthew Tunis
Journal:  Syst Rev       Date:  2022-08-22

5.  Predictors of Functional Outcome in a Cohort of Hispanic Patients Using Exoskeleton Rehabilitation for Cerebrovascular Accidents and Traumatic Brain Injury.

Authors:  Lisa R Treviño; Peter Roberge; Michael E Auer; Angela Morales; Annelyn Torres-Reveron
Journal:  Front Neurorobot       Date:  2021-06-10       Impact factor: 2.650

  5 in total

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