Evidence map›Paper›PMID 37991836›Full record

ArticleJournal of medical Internet research2023

Medical Extended Reality Trials: Building Robust Comparators, Controls, and Sham.

Susan Persky, Luana Colloca

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Trial
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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

2 authors.

Susan PerskySocial and Behavioral Research Branch, National Human Genome Research Institute, Bethesda, MD, United States.ORCID 0000-0002-7768-5744
Luana CollocaDepartment of Pain and Translational Symptom Science, School of Nursing, University of Maryland Baltimore, Baltimore, MD, United States.ORCID 0000-0002-6503-4709

Funding

Neural Mechanisms of Immersive Virtual Reality in Chronic PainR01AT011347 · NCCIH · UNIVERSITY OF MARYLAND BALTIMORE · PI Luana Colloca · 2021 to 2026
$3.2M
NCCIH NIH HHS R01 AT011347
6 · The paper itself

Abstract

The explosive pace of development and research in medical extended reality (MXR) is a testament to its promise for health care and medicine. In comparison with this growth, there is a relative sparsity of rigorous clinical trials that establish the efficacy and effectiveness of these interventions. Explicating mechanisms of action across clinical areas and MXR applications is another major area of need. A primary impediment to these goals is a lack of frameworks for trial design, more specifically, the selection of appropriate controls that effectively address unique elements of MXR. This paper delineates a framework for designing controls, sham conditions, and comparators, as well as proposed considerations for MXR trial designs. Special consideration is given to the design of sham conditions. Improved designs would enable more robust findings and the development of generalizable knowledge that could be adopted across MXR interventions.

Indexed as

MedicineVirtual RealityDelivery of Health CareHumansKnowledgeaugmented realityclinical trial designcontrol conditionsmedical extended realitysham VRvirtual reality

Identifiers

PMID37991836
PMCPMC10701646

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.