Evidence map›Paper›PMID 24904361›Full record

ArticleFrontiers in human neuroscience2014

Robot-assisted vs. sensory integration training in treating gait and balance dysfunctions in patients with multiple sclerosis: a randomized controlled trial.

Marialuisa Gandolfi, Christian Geroin, Alessandro Picelli, Daniele Munari, Andreas Waldner, Stefano Tamburin, Fabio Marchioretto, Nicola Smania

3 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 37 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 7 pooled it
5.5field-weighted citation impact, top 4% of its field
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.

NCT03801473 nacompletednot on this mapstarted 2019, after this paper: background citation

Comparison of Robot-Assisted Gait Training and Conventional Therapy in Multiple Sclerosis Patients

TypeinterventionalSponsorSultan Abdulhamid Han Training and Research Hospital, Istanbul, TurkeyRan2019 to 2020Enrolled42ConditionsMultiple SclerosisArmsrobot assisted gait therapy, Conventional rehabilitation
NCT03805009 nacompletednot on this map

Efficacy of End-Effector Robot-Assisted Gait Training in Subacute Stroke Patients: Clinical and Gait Outcomes

TypeinterventionalSponsorIRCCS San Raffaele RomaRan2013 to 2018Enrolled26ConditionsSevere Stroke, Acute Stroke, Mild Stroke, Central Nervous System DiseasesArmsRobot-Assisted Gait Training (RAGT)
NCT06485115 naunknown statusnot on this mapstarted 2024, after this paper: background citation

The Effectiveness of Combining a Home-based Digital Motor Telerehabilitation Program With Conventional Therapy in Progressive Multiple Sclerosis: a Multicentre, Randomized Controlled Trial

TypeinterventionalSponsorUniversita di VeronaRan2024 to 2026Enrolled78ConditionsProgressive Multiple SclerosisArmsDigital Telerehabilitation (Euleria Home), Conventional therapy
3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 7 syntheses or guidelines pooled it, 98 citations in OpenAlex.

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  7. Exercise therapy for fatigue in multiple sclerosis.The Cochrane database of systematic reviews · 2015
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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

8 authors at 4 institutions in 1 country.

Marialuisa GandolfiDepartment of Neurological and Movement Sciences, Neuromotor and Cognitive Rehabilitation Research Center, University of Verona Verona, Italy.
Christian GeroinDepartment of Neurological and Movement Sciences, Neuromotor and Cognitive Rehabilitation Research Center, University of Verona Verona, Italy.
Alessandro PicelliDepartment of Neurological and Movement Sciences, Neuromotor and Cognitive Rehabilitation Research Center, University of Verona Verona, Italy.
Daniele MunariDepartment of Neurological and Movement Sciences, Neuromotor and Cognitive Rehabilitation Research Center, University of Verona Verona, Italy.
Andreas WaldnerDepartment of Neurological Rehabilitation, Private Hospital Villa Melitta Bolzano, Italy.
Stefano TamburinNeurology Section, Department of Neurological and Movement Sciences, University of Verona Verona, Italy.
Fabio MarchiorettoNeurological Unit, Sacro Cuore-Don Calabria Hospital Verona, Italy.
Nicola SmaniaDepartment of Neurological and Movement Sciences, Neuromotor and Cognitive Rehabilitation Research Center, University of Verona Verona, Italy ; Neurological Rehabilitation Unit, Azienda Ospedaliera Universitaria Integrata Verona, Italy.
University of Verona · ITAzienda Ospedaliera Universitaria Integrata Verona · ITOspedale Sacro Cuore Don Calabria · ITVilla Melitta · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExtensive research on both healthy subjects and patients with central nervous damage has elucidated a crucial role of postural adjustment reactions and central sensory integration processes in generating and "shaping" locomotor function, respectively. Whether robotic-assisted gait devices might improve these functions in Multiple sclerosis (MS) patients is not fully investigated in literature. PURPOSE: The aim of this study was to compare the effectiveness of end-effector robot-assisted gait training (RAGT) and sensory integration balance training (SIBT) in improving walking and balance performance in patients with MS.

methodsTwenty-two patients with MS (EDSS: 1.5-6.5) were randomly assigned to two groups. The RAGT group (n = 12) underwent end-effector system training. The SIBT group (n = 10) underwent specific balance exercises. Each patient received twelve 50-min treatment sessions (2 days/week). A blinded rater evaluated patients before and after treatment as well as 1 month post treatment. Primary outcomes were walking speed and Berg Balance Scale. Secondary outcomes were the Activities-specific Balance Confidence Scale, Sensory Organization Balance Test, Stabilometric Assessment, Fatigue Severity Scale, cadence, step length, single and double support time, Multiple Sclerosis Quality of Life-54.

resultsBetween groups comparisons showed no significant differences on primary and secondary outcome measures over time. Within group comparisons showed significant improvements in both groups on the Berg Balance Scale (P = 0.001). Changes approaching significance were found on gait speed (P = 0.07) only in the RAGT group. Significant changes in balance task-related domains during standing and walking conditions were found in the SIBT group.

conclusionBalance disorders in patients with MS may be ameliorated by RAGT and by SIBT.

Indexed as

motor skills disordersphysiological adaptationspostural balanceproprioceptionsensory feedback

Identifiers

PMID24904361
PMCPMC4033226
OpenAlexW2128647802

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.