Evidence map›Paper›PMID 33584529›Full record

ArticleFrontiers in neurology2021

Virtual Rehabilitation of the Paretic Hand and Arm in Persons With Stroke: Translation From Laboratory to Rehabilitation Centers and the Patient's Home.

Gerard Fluet, Qinyin Qiu, Jigna Patel, Ashley Mont, Amanda Cronce, Mathew Yarossi, Alma Merians, Sergei Adamovich

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 32% 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.

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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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.

Gerard FluetRutgers Biomedical and Health Sciences, Newark, NJ, United States.
Qinyin QiuRutgers Biomedical and Health Sciences, Newark, NJ, United States.
Jigna PatelRutgers Biomedical and Health Sciences, Newark, NJ, United States.
Ashley MontNew Jersey Institute of Technology, Newark, NJ, United States.
Amanda CronceNew Jersey Institute of Technology, Newark, NJ, United States.
Mathew YarossiDepartment of Physical Therapy, Movement and Rehabilitation Science, Northeastern University, Boston, MA, United States.
Alma MeriansRutgers Biomedical and Health Sciences, Newark, NJ, United States.
Sergei AdamovichRutgers Biomedical and Health Sciences, Newark, NJ, United States.
Rutgers HealthNew Jersey Institute of Technology · USRutgers, The State University of New Jersey · USNortheastern University · US

Funding

Optimizing Hand Rehabilitation Post-Stroke Using Interactive Virtual EnvironmentsR01HD058301 · NICHD · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI ADAMOVICH, SERGEI V, MERIANS, ALMA S · 2009 to 2021
$4.7M
Planning and Updating in Frontoparietal Networks for GraspingR01NS085122 · NINDS · RBHS-SCHOOL/ HEALTH RELATED PROFESSIONS · PI ADAMOVICH, SERGEI V, TUNIK, EUGENE · 2014 to 2025
$3.2M
Utilizing gaming mechanics to optimize telerehabilitation adherence in persons with strokeR15HD095403 · NICHD · RBHS-SCHOOL/ HEALTH RELATED PROFESSIONS · PI FLUET, GERARD · 2019 to 2019
$325k
NICHD NIH HHS R01 HD058301NICHD NIH HHS R15 HD095403NINDS NIH HHS R01 NS085122
6 · The paper itself

Abstract

The anatomical and physiological heterogeneity of strokes and persons with stroke, along with the complexity of normal upper extremity movement make the possibility that any single treatment approach will become the definitive solution for all persons with upper extremity hemiparesis due to stroke unlikely. This situation and the non-inferiority level outcomes identified by many studies of virtual rehabilitation are considered by some to indicate that it is time to consider other treatment modalities. Our group, among others, has endeavored to build on the initial positive outcomes in studies of virtual rehabilitation by identifying patient populations, treatment settings and training schedules that will best leverage virtual rehabilitation's strengths. We feel that data generated by our lab and others suggest that (1) persons with stroke may adapt to virtual rehabilitation of hand function differently based on their level of impairment and stage of recovery and (2) that less expensive, more accessible home based equipment seems to be an effective alternative to clinic based treatment that justifies continued optimism and study.

Indexed as

armhandrehabilitationstrokevirtual reality

Identifiers

PMID33584529
PMCPMC7876436
OpenAlexW3128732366

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.