Evidence map›Paper›PMID 31900169›Full record

Trial reportJournal of neuroengineering and rehabilitation2020

Reliability, validity and discriminant ability of a robotic device for finger training in patients with subacute stroke.

Marco Germanotta, Valerio Gower, Dionysia Papadopoulou, Arianna Cruciani, Cristiano Pecchioli, Rita Mosca, Gabriele Speranza, Catuscia Falsini, Francesca Cecchi, Federica Vannetti and 5 more

Abstract readMulticenter StudyRandomized Controlled TrialValidation Study
In one paragraph

Trial report in Journal of neuroengineering and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Technology-assisted assessment of spasticity: a systematic review.Journal of neuroengineering and rehabilitation · 2022
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  13. Learning Hand Kinematics for Parkinson's Disease Assessment Using a Multimodal Sensor Glove.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
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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

15 authors.

Marco GermanottaIRCCS Fondazione Don Carlo Gnocchi, Via di Scandicci, 269, 50143, Florence, Italy. mgermanotta@dongnocchi.it.ORCID 0000-0002-0747-831X
Valerio GowerIRCCS Fondazione Don Carlo Gnocchi, Piazzale Morandi 6, 20121, Milan, Italy.
Dionysia PapadopoulouIRCCS Fondazione Don Carlo Gnocchi, Piazzale Morandi 6, 20121, Milan, Italy.
Arianna CrucianiIRCCS Fondazione Don Carlo Gnocchi, Piazzale Morandi 6, 20121, Milan, Italy.
Cristiano PecchioliIRCCS Fondazione Don Carlo Gnocchi, Piazzale Morandi 6, 20121, Milan, Italy.
Rita MoscaIRCCS Fondazione Don Carlo Gnocchi, Piazzale Morandi 6, 20121, Milan, Italy.
Gabriele SperanzaIRCCS Fondazione Don Carlo Gnocchi, Piazzale Morandi 6, 20121, Milan, Italy.
Catuscia FalsiniIRCCS Fondazione Don Carlo Gnocchi, Via di Scandicci, 269, 50143, Florence, Italy.
Francesca CecchiIRCCS Fondazione Don Carlo Gnocchi, Via di Scandicci, 269, 50143, Florence, Italy.
Federica VannettiIRCCS Fondazione Don Carlo Gnocchi, Via di Scandicci, 269, 50143, Florence, Italy.
Angelo MontesanoIRCCS Fondazione Don Carlo Gnocchi, Piazzale Morandi 6, 20121, Milan, Italy.
Silvia GaleriIRCCS Fondazione Don Carlo Gnocchi, Piazzale Morandi 6, 20121, Milan, Italy.
Furio GramaticaIRCCS Fondazione Don Carlo Gnocchi, Piazzale Morandi 6, 20121, Milan, Italy.
Irene AprileIRCCS Fondazione Don Carlo Gnocchi, Piazzale Morandi 6, 20121, Milan, Italy.
FDG Robotic Rehabilitation Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe majority of stroke survivors experiences significant hand impairments, as weakness and spasticity, with a severe impact on the activity of daily living. To objectively evaluate hand deficits, quantitative measures are needed. The aim of this study is to assess the reliability, the validity and the discriminant ability of the instrumental measures provided by a robotic device for hand rehabilitation, in a sample of patients with subacute stroke. MATERIAL AND

methodsIn this study, 120 patients with stroke and 40 controls were enrolled. Clinical evaluation included finger flexion and extension strength (using the Medical Research Council, MRC), finger spasticity (using the Modified Ashworth Scale, MAS) and motor control and dexterity during ADL performance (by means of the Frenchay Arm Test, FAT). Robotic evaluations included finger flexion and extension strength, muscle tone at rest, and instrumented MAS and Modified Tardieu Scale. Subjects were evaluated twice, one day apart, to assess the test-retest reliability of the robotic measures, using the Intraclass Correlation Coefficient (ICC). To estimate the response stability, the standard errors of measurement and the minimum detectable change (MDC) were also calculated. Validity was assessed by analyzing the correlations between the robotic metrics and the clinical scales, using the Spearman's Correlation Coefficient (r). Finally, we investigated the ability of the robotic measures to distinguish between patients with stroke and healthy subjects, by means of Mann-Whitney U tests.

resultsAll the investigated measures were able to discriminate patients with stroke from healthy subjects (p < 0.001). Test-retest reliability was found to be excellent for finger strength (in both flexion and extension) and muscle tone, with ICCs higher than 0.9. MDCs were equal to 10.6 N for finger flexion, 3.4 N for finger extension, and 14.3 N for muscle tone. Conversely, test-retest reliability of the spasticity measures was poor. Finally, finger strength (in both flexion and extension) was correlated with the clinical scales (r of about 0.7 with MRC, and about 0.5 with FAT). DISCUSSION: Finger strength (in both flexion and extension) and muscle tone, as provided by a robotic device for hand rehabilitation, are reliable and sensitive measures. Moreover, finger strength is strongly correlated with clinical scales. Changes higher than the obtained MDC in these robotic measures could be considered as clinically relevant and used to assess the effect of a rehabilitation treatment in patients with subacute stroke.

Indexed as

Exoskeleton DeviceAgedFemaleFingersHumansMaleMiddle AgedMuscle SpasticityRange of Motion, ArticularReproducibility of ResultsRoboticsStrokeStroke RehabilitationDiscriminant abilityHandRehabilitationReliabilityRoboticsStrokeUpper extremityValidity

Identifiers

PMID31900169
PMCPMC6942416

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.