ArticleBMJ open2022
Effectiveness of virtual reality-based interventions in rehabilitation management of breast cancer survivors: protocol of a systematic review and meta-analysis.
Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed, 8 citations in OpenAlex.
- The use of virtual reality in cancer patient health education: A scoping review.International journal of nursing sciences · 2026Review
- [An Integrated Audio-Visual-Olfactory Virtual Reality False Feeding Device: Research, Development, and Design].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2023Article
- Phytochemical characterization and bioactivity toward breast cancer cells of unhydrolyzed and acid-hydrolyzed extracts ofNatural product communications · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionBreast cancer is the leading cause of global cancer incidence and represents 11.7% of all new cancer cases. However, breast cancer survivors (BCS) suffer from many intense physical and psychological symptoms, functional deficits and adverse effects during and after treatment, significantly affecting their quality of life. Virtual reality (VR) technology uses computer technology to create an interactive three-dimensional world by visual, audio and touch simulation and is being used in breast cancer rehabilitation management. This paper reports on the protocol for a systematic review and meta-analysis exploring the efficacy of VR-based interventions in the rehabilitation management of BCS. METHODS AND ANALYSIS: This protocol for conducting a systematic review and meta-analysis was prepared according to the recommendations of the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols 2015 statement. Web of Science, PubMed, Embase, CINAHL, Cochrane Central Register of Controlled Trials, CNKI, Wanfang, VIP and SinoMed will be used in the search. The search will include randomised controlled trials, quasi-experimental studies and case-controlled trials published in English and Chinese. Further, the risk of bias of the studies included in the systematic review and meta-analysis will be assessed using the Cochrane risk-of-bias tool. The statistical program Review Manager V.5.3 will be used in the meta-analysis. The I² test will be used to determine statistical heterogeneity among the included studies. ETHICS AND DISSEMINATION: Ethics approval will not be needed because the data to be used in this systematic review and meta-analysis will be extracted from published studies. The systematic review and meta-analysis will focus on whether VR-based interventions are effective in the rehabilitation management of BCS. It will be disseminated by publication in a peer-reviewed journal. PROSPERO REGISTRATION NUMBER: CRD42021250727.
Indexed as
Identifiers
What OpenQuestion holds
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.