Evidence map›Paper›PMID 39744548›Full record

SynthesisFrontiers in psychiatry2024

Evaluating virtual reality technology in psychotherapy: impacts on anxiety, depression, and ADHD.

Peng Wang, Xiaowen Ai, Xiyang Zhang, Fei Ma, Yan Zhuang, Suogang Wang

Registry-linked trialAbstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07223879 (Single Blind, Parallel Group Trial of Novel, On-Demand Virtual Reality to Amplify Practice Efficacy), which is not on this map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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.

NCT07223879 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

Single Blind, Parallel Group Trial of Novel, On-Demand Virtual Reality to Amplify Practice Efficacy (NO VAPE) Added to Cognitive Behavioral Therapy for Nicotine Vaping Cessation

TypeinterventionalSponsorCharles River AnalyticsRan2025 to 2028Enrolled90ConditionsNO VAPE + 12 Weeks of Standard CBT, Sham NO VAPE + 12 Weeks Standard CBTArmsNO VAPE VR app with CBT-embedded content with a 12-session individual CBT treatment program, Sham VR app without CBT-embedded content with a 12-session individual CBT treatment program
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. 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

6 authors.

Peng WangNeuroengineering Laboratory, School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China.
Xiaowen AiNeuroengineering Laboratory, School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China.
Xiyang ZhangNeuroengineering Laboratory, School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China.
Fei MaSchool of Big Data Intelligent Diagnosis & Treatment Industry, Taiyuan University, Taiyuan, China.
Yan ZhuangMedical Psychology Department, Taiyuan Mental Hospital, Taiyuan, China.
Suogang WangNeuroengineering Laboratory, School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mental health issues pose a significant challenge for medical providers and the general public. The World Health Organization predicts that by 2030, mental health problems will become the leading cause of global disease burden, highlighting the urgent need for effective mental health interventions. Virtual reality-cognitive behavioral therapy (VR-CBT) has emerged as a promising treatment for neuropsychiatric disorders, offering immersive and engaging therapeutic experiences. Objective: This study aims to assess the advancements in applying virtual reality (VR) technology for diagnosing and treating mental illnesses such as anxiety, depression, and attention deficit hyperactivity disorder (ADHD). It also explores the integration of artificial intelligence (AI) with VR technology in mental health treatment and introduces the CBT-CHAT Treatment Framework to enhance cognitive behavioral therapy. Method: A systematic search was conducted across the databases of Google Scholar, PubMed, and Web of Science, followed by a scoping review. Duplicates were removed using the EndNote literature management software. Each article was then carefully read and evaluated for its research content, methodology, results, and contribution to the application of VR technology in mental health domains. Results: The search retrieved 686 articles, and after applying inclusion and exclusion criteria, 32 articles were ultimately selected. These articles covered the application of VR in anxiety, depression, and ADHD. The research results indicate that VR shows promising outcomes in the diagnosis, treatment, and rehabilitation of anxiety, depression, and ADHD, particularly in the diagnosis, treatment, and rehabilitation of ADHD. Conclusion: The previously published studies consistently demonstrate that VR is an effective tool for supporting the treatment of mental illnesses across various settings and recommend its incorporation into clinical practice.

Indexed as

ADHDanxietyartificial intelligencedepressionVR-CBT

Identifiers

PMID39744548
PMCPMC11688485

What OpenQuestion holds

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Registered trials

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.