Evidence map›Paper›PMID 42558086›Full record

ArticleJournal of medical extended reality2024

A Personalized Approach Using an N-of-1 Trial of Virtual Reality Hypnosis for Persistent Dyspnea.

Nils Siegenthaler, Hugo Bothorel, Oliver Alan Kannape, Capucine Morelot-Panzini, Dan Adler

Abstract read
In one paragraph

Article in Journal of medical extended reality, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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

5 authors.

Nils SiegenthalerIntensive care Unit, Hôpital de la Tour, Geneva, Switzerland.
Hugo BothorelResearch Department, Hôpital de la Tour, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-6900-3440
Oliver Alan KannapeVirtual Medicine Centre, HUG-NeuroCentre, Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, Switzerland.
Capucine Morelot-PanziniSorbonne Université, INSERM, UMRS 1158, Neurophysiologie Respiratoire Expérimentale et Clinique, Paris, France.
Dan AdlerFaculty of Medicine, University of Geneva, Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Persistent dyspnea is associated with major suffering in chronic obstructive pulmonary disease (COPD) patients. Addressing this clinical challenge requires personalized approaches that account for individual variability in treatment response. N-of-1 trials offer a promising method to evaluate interventions tailored to individual patients. This study utilizes N-of-1 trials to assess the effect of virtual reality hypnosis (VRH) therapy on persistent dyspnea to inform personalized therapeutic decisions. Two COPD patients with persistent dyspnea participated in N-of-1 trials, each consisting of four counterbalanced periods of exposure to different virtual reality conditions (period A: VRH; period B: a distractive, pleasant drone ride) over 2 consecutive days. Through patient-generated problem-specific questionnaires, outcomes were evaluated on a 6-point Likert scale. Results showed significant reductions in dyspnea intensity and improved well-being during VRH for one patient, while the other reported improved well-being without significant changes in dyspnea. Our report illustrates the potential of N-of-1 trials in evaluating personalized treatment efficacy, highlighting the importance of customized approaches when conventional treatments have been exhausted. Incorporating N-of-1 trials of alternative treatments in the dyspnea clinic may enhance patient outcomes and satisfaction by tailoring interventions to individual patient needs.

Indexed as

dyspneaN-of-1 trialvirtual reality hypnosis

Identifiers

PMID42558086
PMCPMC13390696

What OpenQuestion holds

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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 OpenQuestion graph.