Evidence map›Paper›PMID 37346107›Full record

Trial reportFrontiers in public health2023

Personalized smart voice-based electronic prescription for remote at-home feedback management in cardiovascular disease rehabilitation: a multi-center randomized controlled trial.

Yin-Hua Zhu, Li-Ping Xia, Jing Yan, Xiao-Ling Shou, Li-Yue Zhu, Yan Sun, Ju-Fei Wang, Xiao-Jun Ji, Mei-Li Zhu, Bei-Li Feng and 1 more

Open access · goldAbstract readRandomized Controlled TrialMulticenter Study
In one paragraph

Trial report in Frontiers in public health, 2023. 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
0.2field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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

11 authors at 5 institutions in 1 country.

Yin-Hua ZhuRehabilitation Center of Zhejiang Hospital, Hangzhou, China.
Li-Ping XiaDepartment of Cardiology, Shangyu People's Hospital, Shaoxing, China.
Jing YanDean Office of Zhejiang Hospital, Hangzhou, China.
Xiao-Ling ShouCardiac Rehabilitation Department of Zhejiang Hospital, Hangzhou, China.
Li-Yue ZhuRehabilitation Center of Zhejiang Hospital, Hangzhou, China.
Yan SunDepartment of Cardiology, Zhejiang Rongjun Hospital, Jiaxing, China.
Ju-Fei WangDepartment of Cardiology, Medical Community of People's Hospital of Fenghua District, Ningbo, China.
Xiao-Jun JiDepartment of Cardiology, Wenzhou Central Hospital, Wenzhou, China.
Mei-Li ZhuRehabilitation Medicine Department of the First People's Hospital of Yongkang, Jinhua, China.
Bei-Li FengDepartment of Cardiology, Ningbo No.2 Hospital (HWaMei Hospital, University of Chinese Academy of Sciences), Ningbo, China.
Hua-Xian ChenDepartment of Rehabilitation Medicine, Xiangyang No.1 People's Hospital, Xiangyang, China.
Zhejiang Hospital · CNJining First People's Hospital · CNNingbo No. 2 Hospital · CNWenzhou Central Hospital · CNXiang Yang No.1 People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the quality and efficacy of remote at-home rehabilitation for patients with cardiovascular disease (CVD) using personalized smart voice-based electronic prescription, and further explore the standardized health management mode of remote family cardiac rehabilitation. Trial design: A multicenter, randomized (1:1), non-blind, parallel controlled study. Methods: A total of 171 patients with CVD who were admitted to 18 medical institutions in China from April 2021 to October 2022 were randomly divided into a treatment group (86 cases) and a control group (85 cases) in a non-blinded experiment, based on the sequence of enrollment. The control group received routine at-home rehabilitation training, and the treatment group received remote feedback-based at-home cardiac rehabilitation management based on routine at-home rehabilitation training. The primary outcome was the difference in VO Results: A total of 171 participants, with 86 in the experimental group and 85 in the control group, were included in the main analysis. The analysis, which used linear mixing model, revealed significant differences in cardiopulmonary function indexes (VO Conclusion: The remote home cardiac rehabilitation management mode using personalized smart voice-based electronic prescription provides several benefits to patients, including improvements in muscle strength, endurance, cardiopulmonary function, and aerobic metabolism. It also helps reduce risk factors for cardiovascular disease and enhances patients' self-management abilities and treatment compliance.Clinical trial registration: http://www.chictr.org.cn, identifier ChiCTR2100044063.

Indexed as

Cardiac RehabilitationCardiovascular DiseasesElectronic PrescribingFeedbackHumansPatient Compliancecardiorespiratory functioncardiovascular diseasehealth-related physical fitnesspersonalized electronic prescriptionremote at-home cardiac rehabilitationrisk factors

Identifiers

PMID37346107
PMCPMC10280988
OpenAlexW4379538004

What OpenQuestion holds

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LicenceCC BY
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.