Evidence map›Paper›PMID 34963502›Full record

ArticleBioelectronic medicine2021

Robotic Kinematic measures of the arm in chronic Stroke: part 2 - strong correlation with clinical outcome measures.

Caio B Moretti, Taya Hamilton, Dylan J Edwards, Avrielle Rykman Peltz, Johanna L Chang, Mar Cortes, Alexandre C B Delbe, Bruce T Volpe, Hermano I Krebs

2 registry-linked trialsOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioelectronic medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 23% 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.

NCT01726673 phase2completednot on this map

Effects of Transcranial Direct Current Stimulation Paired With Robotic Arm Therapy on Recovery of Upper Extremity Motor Function in Stroke Patients

TypeinterventionalSponsorNorthwell HealthRan2012 to 2018Enrolled54ConditionsStrokeArmsTranscranial Direct Current Stimulation (tDCS), Placebo sham
NCT03562663 nacompletednot on this map

Transcranial Direct Current Stimulation and Robotic Training in Chronic Stroke

TypeinterventionalSponsorBurke Medical Research InstituteRan2012 to 2016Enrolled82ConditionsChronic StrokeArmsTranscranial direct current stimulation, Upper extremity robotics
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  3. Review
  4. Article
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

9 authors at 5 institutions in 2 countries.

Caio B MorettiDepartment of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
Taya HamiltonDepartment of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
Dylan J EdwardsMoss Rehabilitation Research Institute, 60 Township Line Rd, Elkins Park, PA, 19027, USA.
Avrielle Rykman PeltzRehabologym, 90 N Broadway, Irvington, NY, 10533, USA.
Johanna L ChangFeinstein Institute for Medical Research, 350 Community Dr, Manhasset, NY, 11030, USA.
Mar CortesIcahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY, 10029, USA.
Alexandre C B DelbeUniversidade de Sao Paulo, Avenida Trabalhador Saocarlense - 400, Sao Carlos, SP, Brazil.
Bruce T VolpeFeinstein Institute for Medical Research, 350 Community Dr, Manhasset, NY, 11030, USA.
Hermano I KrebsDepartment of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA. hikrebs@mt.edu.
Massachusetts Institute of Technology · USFeinstein Institute for Medical Research · USIcahn School of Medicine at Mount Sinai · USMoss Rehabilitation Hospital · USUniversidade de São Paulo · BR

Funding

Transcranial Direct Current Stimulation and Robotic Training in Chronic StrokeR01HD069776 · NICHD · WINIFRED MASTERSON BURKE MED RES INST · PI EDWARDS, DYLAN JAMES · 2012 to 2016
$3.2M
Eunice Kennedy Shriver National Institute of Child Health and Human Development R01HD069776FAPESP 2019/06551-5MISTI-Brazil, Massachusetts Institute of Technology 2160632NICHD NIH HHS R01 HD069776
6 · The paper itself

Abstract

backgroundA detailed sensorimotor evaluation is essential in planning effective, individualized therapy post-stroke. Robotic kinematic assay may offer better accuracy and resolution to understand stroke recovery. Here we investigate the added value of distal wrist measurement to a proximal robotic kinematic assay to improve its correlation with clinical upper extremity measures in chronic stroke. Secondly, we compare linear and nonlinear regression models.

methodsData was sourced from a multicenter randomized controlled trial conducted from 2012 to 2016, investigating the combined effect of robotic therapy and transcranial direct current stimulation (tDCS). 24 kinematic metrics were derived from 4 shoulder-elbow tasks and 35 metrics from 3 wrist and forearm evaluation tasks. A correlation-based feature selection was performed, keeping only features substantially correlated with the target attribute (R > 0.5.) Nonlinear models took the form of a multilayer perceptron neural network: one hidden layer and one linear output.

resultsShoulder-elbow metrics showed a significant correlation with the Fugl Meyer Assessment (upper extremity, FMA-UE), with a R = 0.82 (P < 0.001) for the linear model and R = 0.88 (P < 0.001) for the nonlinear model. Similarly, a high correlation was found for wrist kinematics and the FMA-UE (R = 0.91 (P < 0.001) and R = 0.92 (P < 0.001) for the linear and nonlinear model respectively). The combined analysis produced a correlation of R = 0.91 (P < 0.001) for the linear model and R = 0.91 (P < 0.001) for the nonlinear model.

conclusionsDistal wrist kinematics were highly correlated to clinical outcomes, warranting future investigation to explore our nonlinear wrist model with acute or subacute stroke populations.

trial registrationhttp://www.clinicaltrials.gov . Actual study start date September 2012. First registered on 15 November 2012. Retrospectively registered. Unique identifiers: NCT01726673 and NCT03562663 .

Indexed as

CorrelationKinematicsOutcome measuresRoboticsStroketDCS

Identifiers

PMID34963502
PMCPMC8715630
OpenAlexW4200401615

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.