Evidence map›Paper›PMID 40594289›Full record

Trial reportScientific reports2025

Virtual reality-based training to augment recovery of hand dexterity after surgery for degenerative cervical myelopathy.

Viprav B Raju, Roxanne Hauer, Mohammad Ghassemi, Anjishnu Banerjee, Derek Kamper, Brian D Schmit, Aditya Vedantam

Abstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

7 authors.

Viprav B RajuDepartment of Neurosurgery, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI, 53226, USA.
Roxanne HauerJoint Department of Biomedical Engineering, Marquette University- Medical College of Wisconsin, Milwaukee, WI, USA.
Mohammad GhassemiJoint Department of Biomedical Engineering, North Carolina State University - University of North Carolina at Chapel Hill, Raleigh, Chapel Hill, NC, USA.
Anjishnu BanerjeeDepartment of Biostatistics, Medical College of Wisconsin, Milwaukee, WI, USA.
Derek KamperJoint Department of Biomedical Engineering, North Carolina State University - University of North Carolina at Chapel Hill, Raleigh, Chapel Hill, NC, USA.
Brian D SchmitJoint Department of Biomedical Engineering, Marquette University- Medical College of Wisconsin, Milwaukee, WI, USA.
Aditya VedantamDepartment of Neurosurgery, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI, 53226, USA. avedantam@mcw.edu.

Funding

A multimodal intervention to improve manual dexterity in subacute stroke survivorsR21HD105874 · NICHD · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI KAMPER, DEREK · 2021 to 2022
$397k
National Center for Medical Rehabilitation Research 1R21HD105874-01NICHD NIH HHS R21 HD105874
6 · The paper itself

Abstract

Degenerative cervical myelopathy (DCM), the leading cause of non-traumatic spinal cord injury, frequently results in impaired hand dexterity. While surgical decompression is the primary treatment, over 40% of patients report residual hand disability after surgery. There are no therapies to restore hand function after surgery for DCM. In this single-arm clinical trial, post-surgical DCM participants (within 12 months after surgery) underwent a 4-week VR training protocol using the Virtual Keyboard system, which promotes practice of finger individuation. Assessments of hand dexterity were performed at baseline (at week 1), post-training (at week 6) and follow-up (at week 10). The primary outcome measure for hand dexterity assessment was the Jebsen-Taylor Hand Function Test (JTHFT). Twenty-two post-surgical DCM participants were included in the final analysis. Statistically significant improvement in the JTHFT was observed at both post-training (p < 0.001, Δ= -15.21s) and follow-up (p < 0.001, Δ= -17.84s), with changes exceeding the Minimal Clinically Important Difference (MCID) at both time points. VR hand training also produced significant, sustained and clinically meaningful improvements in quantitative hand dexterity tests and health-related quality of life. The results of this uncontrolled, single-arm study demonstrate the feasibility and efficacy of targeted neurorehabilitation to augment post-surgical neurological recovery in people with DCM.

Indexed as

Cervical VertebraeHandSpinal Cord DiseasesVirtual RealityAdultAgedDecompression, SurgicalFemaleHumansMaleMiddle AgedRecovery of FunctionTreatment OutcomeDegenerative cervical myelopathyHand dexterityPost-Surgical rehabilitationVirtual reality

Identifiers

PMID40594289
PMCPMC12217608

What Socratic 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 Socratic graph.