Evidence map›Paper›PMID 35301201›Full record

SynthesisBMJ open2022

Efficacy of virtual reality-based interventions for patients with breast cancer symptom and rehabilitation management: a systematic review and meta-analysis.

Huayi Zhang, Hui Xu, Zhen-Xiang Zhang, Qiushi Zhang

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 4 pooled it
4.0field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 4 syntheses or guidelines pooled it, 39 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. The influence of virtual reality on anxiety and pain in breast cancer patients: A systematic review.Technical innovations & patient support in radiation oncology · 2026
    Review
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  7. Review
  8. Article
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  10. Article
  11. Article
  12. Article
  13. Review
  14. Virtual reality-based supportive care interventions for patients with cancer: an umbrella review of systematic reviews and meta-analyses.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Review
  15. Review
  16. Article
  17. Review
  18. Article
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  20. 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

4 authors at 1 institution in 1 country.

Huayi ZhangSchool of Nursing and Health, Zhengzhou University, Zhengzhou, Henan, China.ORCID 0000-0002-1573-9110
Hui XuDepartment of Fundmental Nursing, Zhengzhou University, Zhengzhou, China.
Zhen-Xiang ZhangZhengzhou University, Zhengzhou, China.
Qiushi ZhangDepartment of Fundmental Nursing, Zhengzhou University, Zhengzhou, China qiutiandeguozi@126.com.
Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine the effectiveness of virtual reality (VR)-based intervention on the symptoms and rehabilitation management in patients with breast cancer.

designSystematic review and meta-analysis. STUDY SELECTION: We included all eligible randomised controlled trials and quasi-experimental studies (published in English and Chinese).

participantsPatients with breast cancer (≥18 years) undergoing cancer treatment.

interventionsAny intervention administered to improve the symptoms and rehabilitation of patients with breast cancer. The control group was given conventional care. OUTCOMES: All outcomes were as follows: pain, fatigue, anxiety, depressive symptoms, cognitive function, and range of motion of upper limb in patients with breast cancer. DATA SOURCES: We searched PubMed, Embase, CENTRAL and SinoMed, four electronic databases, covering the database establishment period to January 2022. REVIEW

methodsTwo reviewers independently extracted content and data consistent with the prespecified framework and assessed risk bias. Random-effects meta-analysis was used to pool data across trials. Meta-analysis was performed using Review Manager V.5.4.

resultsA total of eight studies met the eligibility criteria and were included in this study. The combined effect size showed that VR was positive for improving patients' anxiety(standard mean differenc (SMD)=-2.07, 95% CI= (-3.81 to -0.34), I

conclusionsVR technology has a good effect on symptoms and rehabilitation management of patients with breast cancer, but the quality of evidence is low, and the sample size is small. To date, there are few intervention studies, therefore, giving precise recommendation or conclusion is difficult. We have a favourable view of this, and more clinical studies are needed in the future to improve the credibility of the results.

Indexed as

Breast NeoplasmsVirtual RealityActivities of Daily LivingFatigueFemaleHumansUpper Extremitybreast cancermeta-analysisvirtual reality

Identifiers

PMID35301201
PMCPMC8932270
OpenAlexW4220717482

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.