Evidence map›Paper›PMID 34848527›Full record

ArticleBMJ open2021

Adjunctive virtual reality pain relief following traumatic injury: protocol for a randomised within-subjects clinical trial.

Ryan B Felix, Aniruddha Rao, Mazhar Khalid, Yang Wang, Luana Colloca, Sarah B Murthi, Nicholas A Morris

Registry-linked trialOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04356963 (Adjunct Virtual Reality Pain Management in Acute Brain Injury), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 20% 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.

NCT04356963 nacompletednot on this map

Adjunct Virtual Reality Pain Management in Acute Brain Injury

TypeinterventionalSponsorUniversity of Maryland, BaltimoreRan2020 to 2022Enrolled60ConditionsTraumatic Brain Injury, Headaches Posttraumatic, Trauma, Pain, AcuteArmsVirtual Reality Session (VR Blu), Tablet-based Session (Tablet Blu), Use of Virtual Reality Head Mounted Display without Content (VR Blank)
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 1 institution in 1 country.

Ryan B FelixDepartment of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-5375-1313
Aniruddha RaoDepartment of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Mazhar KhalidDepartment of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Yang WangDepartment of Pain and Translational Symptom Science, University of Maryland School of Nursing, Baltimore, Maryland, USA.
Luana CollocaDepartment of Pain and Translational Symptom Science, University of Maryland School of Nursing, Baltimore, Maryland, USA.
Sarah B MurthiDepartment of Surgery, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Nicholas A MorrisDepartment of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, USA nicholas.morris@som.umaryland.edu.
University of Maryland, Baltimore · US

Funding

QAQC Johns Hopkins Institute for Clinical and Translational ResearchUL1TR003098 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2019 to 2023
$57.7M
NCATS NIH HHS UL1 TR003098
6 · The paper itself

Abstract

introductionThe annual mortality and national expense of the opioid crisis continue to rise in the USA (130 deaths/day, $50 billion/year). Opioid use disorder usually starts with the prescription of opioids for a medical condition. Its risk is associated with greater pain intensity and coping strategies characterised by pain catastrophising. Non-pharmacological analgesics in the hospital setting are critical to abate the opioid epidemic. One promising intervention is virtual reality (VR) therapy. It has performed well as a distraction tool and pain modifier during medical procedures; however, little is known about VR in the acute pain setting following traumatic injury. Furthermore, no studies have investigated VR in the setting of traumatic brain injury (TBI). This study aims to establish the safety and effect of VR therapy in the inpatient setting for acute traumatic injuries, including TBI. METHODS AND ANALYSIS: In this randomised within-subjects clinical study, immersive VR therapy will be compared with two controls in patients with traumatic injury, including TBI. Affective measures including pain catastrophising, trait anxiety and depression will be captured prior to beginning sessions. Before and after each session, we will capture pain intensity and unpleasantness, additional affective measures and physiological measures associated with pain response, such as heart rate and variability, pupillometry and respiratory rate. The primary outcome is the change in pain intensity of the VR session compared with controls. ETHICS AND DISSEMINATION: Dissemination of this protocol will allow researchers and funding bodies to stay abreast in their fields through exposure to research not otherwise widely publicised. Study protocols are compliant with federal regulation and University of Maryland Baltimore's Human Research Protections and Institutional Review Board (protocol number HP-00090603). Study results will be published on completion of enrolment and analysis, and deidentified data can be shared by request to the corresponding author. TRIAL REGISTRATION NUMBER: NCT04356963; Pre-results.

Indexed as

Acute PainVirtual RealityAnalgesics, OpioidHumansPain ManagementPain MeasurementRandomized Controlled Trials as TopicAnalgesics, Opioidclinical trialsneurological injuryneurological painpain managementtrauma management

Identifiers

PMID34848527
PMCPMC8634353
OpenAlexW3215624669

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.