Evidence map›Paper›PMID 41299010›Full record

ArticleNPJ digital medicine2025

Trends and effectiveness of digital health management in postdischarge coronary artery disease across COVID19 pandemic.

Zuoxiang Wang, Lanshu Yang, Sheng Zhao, Zhengqing Ba, Mengyuan Liu, Yalin Zhu, Henghongyu Chen, Xiaojin Gao, Yongjian Wu

Abstract read
In one paragraph

Article in NPJ digital 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

9 authors.

Zuoxiang Wang *Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Lanshu Yang *Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Sheng ZhaoDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Zhengqing BaDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Mengyuan LiuDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yalin ZhuDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Henghongyu ChenDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xiaojin GaoDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. sophie_gao@sina.com.
Yongjian WuDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. fuwaiwyj@163.com.

Funding

Artificial Intelligence and Information Technology Application Fund of Fuwai Hospital and Chinese Academy of Medical Sciences 2024-AI22CAMS Innovation Fund for Medical Sciences(CIFMS) 2024-I2M-C&T-B-040National High Level Hospital Clinical Research Funding 2024-GSP-GG-4Noncommunicable Chronic Diseases-National Science and Technology Major Project 2023ZD0504000
6 · The paper itself

Abstract

The effectiveness of digital health management (DM) in post-discharge care for patients with coronary artery disease (CAD) remains insufficiently explored, particularly across public health emergencies. A total of 24,129 patients with CAD enrolled in the HeartMed Digital Management System were divided into DM or conventional management groups based on patient preference, and categorized into pre-COVID-19 (n = 13,473; 16.7% DM), COVID-19 (n = 5173; 80.3% DM), and post-COVID-19 (n = 5483; 86.2% DM) eras according to enrollment dates. For the primary endpoint, digital healthcare was significantly associated with lower all-cause mortality risk across all three periods after adjustment (HR: pre-COVID 0.23; COVID 0.52; post-COVID 0.58; all p < 0.001). No significant interaction was found in the protective effect of DM among the three eras (all interaction p > 0.05). Similar trends were observed for the secondary endpoints-readmission, MACE, and MACCE. Across all three pandemic phases, DM was consistently associated with improved clinical outcomes in post-discharge CAD populations.

Identifiers

PMID41299010
PMCPMC12657508

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.