Evidence map›Paper›PMID 40463635›Full record

ArticleFrontiers in cardiovascular medicine2025

Impact of digital health management on clinical outcomes during post-PCI outpatient care in patients with acute coronary syndrome: study protocol for a multicentre, randomized controlled trial.

Hang Yu, Wei Zhang, Guoliang Li, Tao Chen, Shaonong Dang, Xiaofeng Ma, XiaoWei Zhang, Xiaofeng Ma, Zhibin Hong, Pengyi He and 4 more

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Hang YuDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Wei ZhangDepartment of Neonatology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Guoliang LiDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Tao ChenDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Shaonong DangKey Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Global Health Institute, Health Science Center, Xi'an Jiaotong University, Xi'an, China.
Xiaofeng MaDepartment of Cardiovascular Medicine, Qinghai Province Cardiovascular and Cerebrovascular Disease Specialist Hospital, Xining, China.
XiaoWei ZhangDepartment of Cardiovascular Medicine, The Second Hospital & Clinical Medical School, LanZhou University, LanZhou, China.
Xiaofeng MaDepartment of Cardiovascular Medicine, Affiliated Nanhua Hospital, Hengyang University of South China, Hengyang, China.
Zhibin HongDepartment of Cardiovascular Medicine, First People's Hospital of Tianshui, Tianshui, China.
Pengyi HeDepartment of Cardiovascular Medicine, The Fifth Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.
Xiaohui XuDepartment of Cardiovascular Medicine, XD Group Hospital, Genertec Universal Medical, Xi'an, China.
Xiuying ChenDepartment of Cardiovascular Medicine, QingHai Provincial People's Hospital, Xining, Qinghai, China.
Yanyan GengMedical College, Qinghai University, Xining, China.
Xinjun LeiDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Coronary heart disease is becoming more common in developing nations. Acute coronary syndrome (ACS) poses a major challenge to global health; however, access to cardiac rehabilitation and preventative measures is limited. There is an urgent need for affordable and widely accessible alternative delivery models to resolve this treatment gap. Research conducted by both local and international experts has focused on the role of smartphones in offering rehabilitation guidance and secondary prevention for patients. Rehabilitative effects have mainly been observed in areas where risk factors and behavioural adjustments can be altered. However, high-quality, evidence-based randomized controlled trials (RCTs) are lacking. Furthermore, the previous studies were single-centre studies with restricted case sources, thereby leading to relatively weak external validity of the research findings. Additionally, most of the previous studies have evaluated cardiac function indicators, with limited assessments of patients' clinical endpoint indicators, quality of life, and psychological aspects. Method and analysis: The purpose of this study is to explore the development of a smartphone-based systematic and extensible digital management model for post-percutaneous coronary intervention (PCI) outpatient care among ACS patients. We aim to assess whether the integration of a digital management model with conventional postoperative follow-up management is more beneficial for patient recovery during the outpatient rehabilitation process than conventional postoperative follow-up management alone. We propose a single-blind, multicentre RCT of 1,366 ACS patients who underwent PCI and who completed 12 months of follow-up. In the experimental group, within one year after discharge, participants will receive both the current standard postoperative follow-up management and additional management via a digital platform. In the control group, within one year after discharge, participants will receive only the current standard postoperative follow-up management. The primary clinical endpoint of this study is major adverse cardiovascular and cerebrovascular events (MACCEs), whereas the secondary clinical endpoints include cardiac function indicators, quality of life scores, and mental health scores, among other endpoints. Conclusions: This clinical trial will provide evidence to demonstrate whether digital health management is a better approach for improving clinical outcomes in patients with post-PCI ACS.If proven effective, this digital model could address the global underutilization of cardiac rehabilitation by providing scalable, low-cost solutions, particularly in rural and resource-limited settings. Clinically, it may reduce MACCEs and improve quality of life, while public health systems could integrate this approach to alleviate workforce shortages and geographic barriers. Trial Registration Number: https://www.clinicaltrial.gov, identifier ChiCTR2400086452.

Indexed as

acute coronary syndromecardiovascular eventsdigital health managementpercutaneous coronary interventionspost-PCI outpatient care

Identifiers

PMID40463635
PMCPMC12129904

What OpenQuestion holds

Textmetadata
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.