Evidence map›Paper›PMID 41735858›Full record

ArticleBMC cardiovascular disorders2026

Research on the effect of augmented reality based sensory interaction device in rehabilitation training of patients with chronic heart failure.

Qiuqi Zhang, Jinhe Zhao, Li Ma, Haizhen Jia, Jie Zhen

Abstract read
In one paragraph

Article in BMC cardiovascular disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Qiuqi ZhangDepartment of Cardiology, Tianyou Hospital Affiliated to Wuhan University of Science and Technology, No. 9, Tujialing, Dingziqiao, Wuchang District, Wuhan City, 430064, Hubei Province, China.
Jinhe ZhaoDepartment of Cardiology, Tianyou Hospital Affiliated to Wuhan University of Science and Technology, No. 9, Tujialing, Dingziqiao, Wuchang District, Wuhan City, 430064, Hubei Province, China. zhaojinhe008@163.com.
Li MaDepartment of Cardiology, Tianyou Hospital Affiliated to Wuhan University of Science and Technology, No. 9, Tujialing, Dingziqiao, Wuchang District, Wuhan City, 430064, Hubei Province, China.
Haizhen JiaDepartment of Cardiology, Tianyou Hospital Affiliated to Wuhan University of Science and Technology, No. 9, Tujialing, Dingziqiao, Wuchang District, Wuhan City, 430064, Hubei Province, China.
Jie ZhenDepartment of Cardiology, Tianyou Hospital Affiliated to Wuhan University of Science and Technology, No. 9, Tujialing, Dingziqiao, Wuchang District, Wuhan City, 430064, Hubei Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic heart failure (CHF) significantly impacts patient quality of life and presents challenges in healthcare. Innovative rehabilitation strategies, such as augmented reality (AR) technology, offer potential benefits for improving outcomes. This study aims to investigate the effectiveness of an AR-based sensory interaction device in terms of cardiac function, exercise capacity, quality of life, and patient satisfaction in CHF rehabilitation.

methodsA retrospective cohort study enrolled 200 patients with CHF between January 2021 and January 2023. Participants were assigned into a conventional rehabilitation group (n = 86) and an intervention group (n = 114) receiving AR-based somatosensory interactive training. Key measures included general characteristics, complete blood count, cardiac function indicators, 6-minute walking distance (6MWD) and maximum activity time (Tmax), General Self-Efficacy Scale (GSES), Minnesota Living with Heart Failure Questionnaire (MLHFQ) scores, and satisfaction questionnaires of nursing care quality and comfort level.

resultsThe general characteristics, routine blood counts, and cardiac function indicators were comparable prior to the intervention. Post-intervention analysis revealed significant improvements in the intervention group across several parameters, including left ventricular ejection fraction (LVEF: 54.11% vs. 51.85%, P < 0.001) and cardiac index (CI: 2.56 vs. 2.34 L·min⁻¹·m⁻², P < 0.001). Exercise capacity, indicated by 6-minute walking distance (6MWD: 392.14 m vs. 367.89 m, P < 0.001), and GSES scores also improved significantly (25.14 vs. 23.82, P = 0.009). Satisfaction with rehabilitation was higher in the intervention group (70.18% vs. 54.65%, P = 0.024), while MLHFQ scores decreased more substantially, indicating enhanced quality of life. The correlation analysis revealed that AR-based device effectiveness was positively associated with cardiac functionality, exercise capacity, self-efficacy, and patient satisfaction.

conclusionAR-based rehabilitation offers significant advantages over usual care in improving cardiac function, exercise capacity, quality of life, and patient satisfaction in CHF patients. These findings, while encouraging, should be interpreted with caution given the retrospective, single-centre design and four-week follow-up.

Indexed as

Augmented RealityCardiac RehabilitationHeart FailureAgedChronic DiseaseDigital HealthExercise ToleranceFemaleHumansMaleMiddle AgedPatient SatisfactionQuality of LifeRecovery of FunctionRetrospective StudiesSelf EfficacyARChronic heart failureRehabilitation trainingSensory interaction device

Identifiers

PMID41735858
PMCPMC13040993

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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.