Evidence map›Paper›PMID 38645380›Full record

ArticleGeneral psychiatry2024

Virtual reality-based cognitive-behavioural therapy for the treatment of anxiety in patients with acute myocardial infarction: a randomised clinical trial.

Yuan Yuan Li, Juan Peng, Yuan Yang Ping, Weng Jia Jun, Yan'e Lu, Jia Jia Liu, Shi Kun Xu, Li Hua Guan, Dong Huang, Qi Bing Wang and 5 more

Open access · diamondAbstract read
In one paragraph

Article in General psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 3 pooled it
6.4field-weighted citation impact, top 3% 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.

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

6 citing papers in PubMed, 3 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Review
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

15 authors at 3 institutions in 1 country.

Yuan Yuan Li *Department of Psychological Medicine, Zhongshan Hospital Fudan University, Shanghai, China.
Juan Peng *Department of Cardiology, Zhongshan Hospital Fudan University, Shanghai, China.
Yuan Yang PingDepartment of Psychological Medicine, Zhongshan Hospital Fudan University, Shanghai, China.
Weng Jia JunDepartment of Psychological Medicine, Zhongshan Hospital Fudan University, Shanghai, China.
Yan'e LuSchool of Nursing, Peking University, Beijing, China.
Jia Jia LiuSchool of Nursing, Peking University, Beijing, China.
Shi Kun XuZhongshan Hospital Fudan University, Shanghai, China.
Li Hua GuanDepartment of Cardiology, Zhongshan Hospital Fudan University, Shanghai, China.
Dong HuangDepartment of Cardiology, Zhongshan Hospital Fudan University, Shanghai, China.
Qi Bing WangDepartment of Psychological Medicine, Zhongshan Hospital Fudan University, Shanghai, China.
Ju Ying QianDepartment of Psychological Medicine, Zhongshan Hospital Fudan University, Shanghai, China.
Ze Xin ZhaoDepartment of Psychological Medicine, Zhongshan Hospital Fudan University, Shanghai, China.
Ya Bin WeiBeijing Key Laboratory of Drug Dependence Research, National Institute on Drug Dependence, Peking University, Beijing, China.ORCID 0000-0002-3786-908X
Jun Bo GeDepartment of Cardiology, Zhongshan Hospital Fudan University, Shanghai, China.
Xiao HuangDepartment of Psychological Medicine, Zhongshan Hospital Fudan University, Shanghai, China.
Fudan University · CNSun Yat-sen University · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The presence of mental health conditions is pervasive in patients who experienced acute myocardial infarction (AMI), significantly disrupting their recovery. Providing timely and easily accessible psychological interventions using virtual reality-based cognitive-behavioural therapy (VR-CBT) could potentially improve both acute and long-term symptoms affecting their mental health. Aims: We aim to examine the effectiveness of VR-CBT on anxiety symptoms in patients with AMI who were admitted to the intensive care unit (ICU) during the acute stage of their illness. Methods: In this single-blind randomised clinical trial, participants with anxiety symptoms who were admitted to the ICU due to AMI were continuously recruited from December 2022 to February 2023. Patients who were Han Chinese aged 18-75 years were randomly assigned (1:1) via block randomisation to either the VR-CBT group to receive VR-CBT in addition to standard mental health support, or the control group to receive standard mental health support only. VR-CBT consisted of four modules and was delivered at the bedside over a 1-week period. Assessments were done at baseline, immediately after treatment and at 3-month follow-up. The intention-to-treat analysis began in June 2023. The primary outcome measure was the changes in anxiety symptoms as assessed by the Hamilton Anxiety Rating Scale (HAM-A). Results: Among 148 randomised participants, 70 were assigned to the VR-CBT group and 78 to the control group. The 1-week VR-CBT intervention plus standard mental health support significantly reduced the anxiety symptoms compared with standard mental health support alone in terms of HAM-A scores at both post intervention (Cohen's d=-1.27 (95% confidence interval (CI): -1.64 to -0.90, p<0.001) and 3-month follow-up (Cohen's d=-0.37 (95% CI: -0.72 to -0.01, p=0.024). Of the 70 participants who received VR-CBT, 62 (88.6%) completed the entire intervention. Cybersickness was the main reported adverse event (n=5). Conclusions: Our results indicate that VR-CBT can significantly reduce post-AMI anxiety at the acute stage of the illness; the improvement was maintained at the 3-month follow-up. Trial registration number: The trial was registered at www.chictr.org.cn with the identifier: ChiCTR2200066435.

Indexed as

AnxietyCognitive Behavioural TherapyRandomized Controlled Trials as TopicVirtual Reality Exposure Therapy

Identifiers

PMID38645380
PMCPMC11029180
OpenAlexW4394858226

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.