Evidence map›Paper›PMID 42438674›Full record

ArticleMethodsX2026

Virtual reality for opioid reduction in postoperative cardiac and thoracic surgery: A randomized controlled trial protocol.

David Duarte de Araujo, Suely Pereira Zeferino, Filomena Regina Barbosa Gomes Galas

Abstract read
In one paragraph

Article in MethodsX, 2026. 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

3 authors.

David Duarte de AraujoDepartment of Surgery, Anesthesiology, Surgical Sciences and Perioperative Medicine Program (ACCEPT), Faculdade de Medicina da Universidade de São Paulo, Av. Dr. Arnaldo, 455, São Paulo, 01246-903, Brazil.
Suely Pereira ZeferinoDepartment of Surgery, Anesthesiology, Surgical Sciences and Perioperative Medicine Program (ACCEPT), Faculdade de Medicina da Universidade de São Paulo, Av. Dr. Arnaldo, 455, São Paulo, 01246-903, Brazil.
Filomena Regina Barbosa Gomes GalasDepartment of Surgery, Anesthesiology, Surgical Sciences and Perioperative Medicine Program (ACCEPT), Faculdade de Medicina da Universidade de São Paulo, Av. Dr. Arnaldo, 455, São Paulo, 01246-903, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This protocol describes a randomized controlled trial designed to evaluate the efficacy of Virtual Reality (VR) as a non-pharmacological intervention for pain management in the immediate postoperative period of cardiac and thoracic surgeries. Postoperative pain in these major procedures is often intense and historically managed with high doses of opioids, which are associated with significant side effects and potential dependence. By leveraging the "limited capacity theory of attention," this study uses immersive and passive VR environments to compete with painful stimuli for cognitive resources, thereby aiming to reduce total opioid consumption. • This protocol establishes a standardized three-arm methodology to compare active VR immersion, passive VR contemplation, and conventional multimodal analgesia in a high-complexity surgical setting. • It provides a detailed framework for integrating digital distraction technology into intensive care unit (ICU) routines, including a rigorous equipment hygiene protocol to ensure patient safety. • The study focuses on a specific younger demographic (16-40 years) to evaluate the impact of VR on recovery outcomes, opioid sparing, and patient satisfaction.

Indexed as

Digital therapeuticsDistraction therapyEnhanced recovery after surgery (ERAS)Immersive technologyPain management

Identifiers

PMID42438674
PMCPMC13356679

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.