Evidence map›Paper›PMID 29057195›Full record

ArticleInternational journal on disability and human development : IJDHD2014

Movement rehabilitation in virtual reality from then to now: how are we doing?

Alma S Merians, Gerard Fluet, Eugene Tunik, Q Qiu, Soha Saleh, Sergei Adamovich

Abstract read
In one paragraph

Article in International journal on disability and human development : IJDHD, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  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

6 authors.

Alma S MeriansDepartment of Rehabilitation and Movement Sciences, University of Medicine and Dentistry of New Jersey, 65 Bergen Street, Newark, NJ 07107, USA.
Gerard FluetDepartment of Rehabilitation and Movement Sciences, University of Medicine and Dentistry of New Jersey, Newark, NJ, USA.
Eugene TunikDepartment of Rehabilitation and Movement Sciences, University of Medicine and Dentistry of New Jersey, Newark, NJ, USA.
Q QiuDepartment of Rehabilitation and Movement Sciences, University of Medicine and Dentistry of New Jersey, Newark, NJ, USA.
Soha SalehDepartment of Rehabilitation and Movement Sciences, University of Medicine and Dentistry of New Jersey, Newark, NJ, USA.
Sergei AdamovichDepartment of Rehabilitation and Movement Sciences, University of Medicine and Dentistry of New Jersey, Newark, NJ, USA; and New Jersey Institute of Technology, Department of Biomedical Engineering, Newark, NJ, USA.

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
Virtual reality rehabilitation of hand use after strokeR03HD042161 · NICHD · RUTGERS THE STATE UNIV OF NJ NEWARK · PI ADAMOVICH, SERGEI V · 2003 to 2004
$148k
NICHD NIH HHS R01 HD058301NICHD NIH HHS R03 HD042161
6 · The paper itself

Abstract

During the past decade, there has been a continuous exploration of how virtual environments can be used to facilitate motor recovery and relearning after neurological impairment. There are two goals for using virtual environments: to improve patients' rehabilitation outcomes beyond our current capabilities or to supplement labor-intensive and time consuming therapies with technology-based interventions. After over a decade of investigation, it seems appropriate to determine whether we are succeeding in meeting such goals.

Indexed as

hemiplegiamotor rehabilitationstrokevirtual reality

Identifiers

PMID29057195
PMCPMC5648340

What OpenQuestion holds

Textmetadata
LicenceTDM
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.