Evidence map›Paper›PMID 41487900›Full record

ArticleClinical kidney journal2026

Personalized virtual reality in hemodialysis patients: a multicenter pilot study.

Philipp Russ, Leo T Wenzel, Simon Bedenbender, Michèle Maeske, Jonas Einloft, Hendrik L Meyer, Andre Ganser, Gert Bange, Martin C Hirsch, Andreas Neubauer and 2 more

Abstract read
In one paragraph

Article in Clinical kidney journal, 2026. 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. 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

12 authors.

Philipp RussMarburg University, Department of Internal Medicine and Nephrology, University Hospital Giessen and Marburg, Marburg, Germany.ORCID https://orcid.org/0009-0007-2799-5449
Leo T WenzelMarburg University, Department of Internal Medicine and Nephrology, University Hospital Giessen and Marburg, Marburg, Germany.
Simon BedenbenderMarburg University, Department of Internal Medicine and Nephrology, University Hospital Giessen and Marburg, Marburg, Germany.ORCID https://orcid.org/0009-0001-1839-4947
Michèle MaeskeDepartment of Nephrology, Klinikum Fulda gAG, Marburg University, Campus Fulda, Fulda, Germany.
Jonas EinloftMarburg University, Department of Internal Medicine and Nephrology, University Hospital Giessen and Marburg, Marburg, Germany.
Hendrik L MeyerMarburg University, Department of Internal Medicine and Nephrology, University Hospital Giessen and Marburg, Marburg, Germany.
Andre GanserMarburg University, Department of Internal Medicine and Nephrology, University Hospital Giessen and Marburg, Marburg, Germany.
Gert BangeMax-Planck Institute for Terrestrial Microbiology, Marburg, Germany.
Martin C HirschMarburg University, Institute for Artificial Intelligence in Medicine, University Hospital Giessen and Marburg, Marburg, Germany.
Andreas NeubauerMarburg University, Department of Internal Medicine, Hematology, Oncology and Immunology, University Hospital Giessen and Marburg, Marburg, Germany.
Peter BenoehrDepartment of Nephrology, Klinikum Fulda gAG, Marburg University, Campus Fulda, Fulda, Germany.
Ivica GrgicMarburg University, Department of Internal Medicine and Nephrology, University Hospital Giessen and Marburg, Marburg, Germany.ORCID https://orcid.org/0000-0001-9017-1804

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients undergoing hemodialysis frequently experience stress, physical discomfort, depressive symptoms and prolonged immobility during lengthy treatment sessions. Immersive virtual reality (VR) has shown promise as a non-pharmacological intervention to improve wellbeing in various clinical settings. However, no multicenter study has examined personalized immersive VR in dialysis patients. This study therefore aimed to assess the tolerability and effects of a single personalized VR session on wellbeing, pain and physiological parameters in patients undergoing hemodialysis. Methods: In this pre-post single group pilot study, 148 participants from 12 dialysis centers (10 outpatient, 2 in-hospital) were enrolled. Each patient completed one personalized 20-min VR session, selecting from 20 immersive 360° options. Emotional wellbeing and pain were assessed before and after VR exposure, while treatment tolerance, perceived quality and feasibility were assessed post-session. Physiological parameters (blood pressure, heart rate, oxygen saturation) were recorded before, during and after exposure. Results: Of the 148 enrolled participants, 143 completed the intervention (mean age 62.2 ± 14.5 years; 64.9% male and 35.1% female). Wellbeing improved significantly; among participants reporting pain, scores decreased by ∼50%. Systolic blood pressure declined from 135 to 128 mmHg and diastolic from 72 to 69 mmHg during VR exposure, with heart rate decreasing from a mean of 72 to 67 bpm ( Conclusion: Personalized VR was well tolerated and produced measurable psychological and physiological benefits in dialysis patients, supporting its potential as a feasible non-pharmacological adjunct to routine care.

Indexed as

end stage renal diseasehemodialysisimmersive technologypersonalized medicinevirtual reality (VR)

Identifiers

PMID41487900
PMCPMC12757744

What Socratic 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 Socratic graph.