Evidence map›Paper›PMID 42558192›Full record

ArticleJournal of medical extended reality2025

Integrating Telemedicine and Embodied Virtual Reality: A Novel Functional Training Intervention for Chronic Shoulder Pain.

Kristine Beebe, Anthony Alvarez, Lincoln Nguyen, James Petros, Michael Trujillo, Oytun Aygün

Abstract read
In one paragraph

Article in Journal of medical extended reality, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kristine BeebeKaruna Labs. Inc., San Francisco, California, USA.
Anthony AlvarezKaruna Labs. Inc., San Francisco, California, USA.
Lincoln NguyenKaruna Labs. Inc., San Francisco, California, USA.
James PetrosKaruna Labs. Inc., San Francisco, California, USA.
Michael TrujilloKaruna Labs. Inc., San Francisco, California, USA.
Oytun AygünKaruna Labs. Inc., San Francisco, California, USA.ORCID https://orcid.org/0000-0002-4909-8876

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic shoulder pain is a common musculoskeletal pain condition that can have a profound impact on a sufferer's life and a large socioeconomic health care burden to society. The aim of this study was to investigate the effects of a functional rehabilitation therapy using virtual embodiment in VR, on chronic shoulder pain, delivered in a telemedicine format. Ten chronic shoulder pain patients were recruited from local pain clinics. Patients engaged in three rehabilitation sessions per week over the course of 8 weeks. Rehabilitation sessions were delivered using an Oculus Quest head-mounted display and hand controllers. Rehabilitation exercises (virtual embodiment training) leverage techniques from graded motor imagery, such as visual mirror feedback and augmentation of the virtual avatar's movements. Eight assessments on function and psychological aspects relevant to chronic pain were measured prior to the first session, at week 4, and at the end of 8 weeks in order to investigate the effect of the virtual embodiment training on the symptoms of chronic shoulder pain. Range of motion was measured within the virtual environment at each exercise session for shoulder flexion, scaption, and abduction. A one-way repeated measure analysis of variance revealed that virtual embodiment training improved symptoms of disability measured by the disabilities of the arm, shoulder and hand questionnaire (F(2, 9) = 8.054,

Indexed as

chronic paindigital therapeuticsfunctional rehabilitationtelehealthtelemedicine

Identifiers

PMID42558192
PMCPMC13387264

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.