Evidence map›Paper›PMID 40953879›Full record

ArticleBMJ open2025

Effectiveness of an AI-enhanced management system for coronary heart disease (AIM-CHD): rationale and design of a single-centre, open-label, randomised, parallel-controlled trial.

Zhengqing Ba, Sheng Zhao, Mengyuan Liu, Guangzhi Chen, Xiaodan Lian, Fei Yu, Yajing Su, Zuoxiang Wang, Lanshu Yang, Ximei Wang and 5 more

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06686056 (A Single-Center, Open-Label, Randomized, Parallel Controlled Trial Evaluating the Effectiveness of Artificial Intelligence-Enhanced Management for Coronary Heart Disease), which is not on this map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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.

NCT06686056 nacompletednot on this map

A Single-Center, Open-Label, Randomized, Parallel Controlled Trial Evaluating the Effectiveness of Artificial Intelligence-Enhanced Management for Coronary Heart Disease (AIM-CHD) Delivered Via Mobile Application

TypeinterventionalSponsorChina National Center for Cardiovascular DiseasesRan2024 to 2025Enrolled1,100ConditionsSecondary Prevention of Coronary Heart DiseaseArmsAIM-CHD Mobile Health Intervention, Usual post-discharge care
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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

15 authors.

Zhengqing Ba *Department of Cardiology, Chinese Academy of Medical Sciences and Peking Union Medical College Fuwai Hospital, Beijing, Beijing, China.ORCID http://orcid.org/0000-0003-0799-0337
Sheng Zhao *Department of Cardiology, Chinese Academy of Medical Sciences and Peking Union Medical College Fuwai Hospital, Beijing, Beijing, China.
Mengyuan LiuDepartment of Cardiology, Chinese Academy of Medical Sciences and Peking Union Medical College Fuwai Hospital, Beijing, Beijing, China.
Guangzhi ChenInformation Centre, Chinese Academy of Medical Sciences and Peking Union Medical College Fuwai Hospital, Beijing, Beijing, China.
Xiaodan LianInformation Centre, Chinese Academy of Medical Sciences and Peking Union Medical College Fuwai Hospital, Beijing, Beijing, China.
Fei YuInformation Centre, Chinese Academy of Medical Sciences and Peking Union Medical College Fuwai Hospital, Beijing, Beijing, China.
Yajing SuDepartment of Cardiology, Chinese Academy of Medical Sciences and Peking Union Medical College Fuwai Hospital, Beijing, Beijing, China.
Zuoxiang WangDepartment of Cardiology, Chinese Academy of Medical Sciences and Peking Union Medical College Fuwai Hospital, Beijing, Beijing, China.
Lanshu YangDepartment of Cardiology, Chinese Academy of Medical Sciences and Peking Union Medical College Fuwai Hospital, Beijing, Beijing, China.
Ximei WangDepartment of Cardiology, Chinese Academy of Medical Sciences and Peking Union Medical College Fuwai Hospital, Beijing, Beijing, China.
Xue ZhangInformation Centre, Chinese Academy of Medical Sciences and Peking Union Medical College Fuwai Hospital, Beijing, Beijing, China.
Jing YuanInformation Centre, Chinese Academy of Medical Sciences and Peking Union Medical College Fuwai Hospital, Beijing, Beijing, China.
Xiaojin GaoDepartment of Cardiology, Chinese Academy of Medical Sciences and Peking Union Medical College Fuwai Hospital, Beijing, Beijing, China sophie_gao@sina.com zw@fuwai.com.ORCID http://orcid.org/0000-0002-8158-484X
Wei ZhaoInformation Centre, Chinese Academy of Medical Sciences and Peking Union Medical College Fuwai Hospital, Beijing, Beijing, China sophie_gao@sina.com zw@fuwai.com.
Yongjian WuDepartment of Cardiology, Chinese Academy of Medical Sciences and Peking Union Medical College Fuwai Hospital, Beijing, Beijing, China.ORCID http://orcid.org/0009-0002-7803-0237

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEffective secondary prevention of coronary heart disease (CHD) is often hindered by limited healthcare resources and poor patient adherence. We therefore developed an artificial intelligence (AI)-enhanced CHD management platform (AIM-CHD) that (i) automatically captures follow-up data through AI-driven voice calls, optical character recognition of laboratory reports and wearable sensor streams; (ii) enables closed-loop, automated risk factor management; and (iii) dynamically personalises follow-up intensity via continuously updated risk stratification and achievement of treatment targets. This trial aims to evaluate whether AIM-CHD improves risk factor control and reduces cardiovascular events compared with usual care. METHODS AND ANALYSIS: In this prospective, single-centre, open-label, randomised controlled trial, 1100 CHD patients aged 18-85 years will be enrolled at Fuwai Hospital and randomised 1:1 to either the AIM-CHD group (n=550) or the usual care group (n=550) for a 3 month post-discharge intervention. The primary outcome is low-density lipoprotein cholesterol (LDL-C) level at 3 months. Secondary outcomes include target achievement for LDL-C and blood pressure, as well as glycosylated haemoglobin level, nonsmoking status, body mass index, composite cardiovascular endpoint and medication adherence. ETHICS AND DISSEMINATION: Ethical approval was approved by the Ethics Committee of Fuwai Hospital on 4 November 2024 (2024-2422). The findings will be disseminated in peer-reviewed publications. An anonymised template of the written informed-consent form (Chinese and English versions) is available as Supplementary Material 1. TRIAL REGISTRATION NUMBER: ClinicalTrial, NCT06686056.

Indexed as

Artificial IntelligenceCoronary DiseaseSecondary PreventionAdolescentAdultAgedAged, 80 and overCholesterol, LDLFemaleHumansMaleMiddle AgedProspective StudiesRandomized Controlled Trials as TopicYoung AdultCholesterol, LDLArtificial IntelligenceCoronary heart diseaseMobile ApplicationsPreventive Health ServicesRandomized Controlled Trial

Identifiers

PMID40953879
PMCPMC12434780

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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.