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.
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.
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.
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.
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
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Clinical analysis of drug treatment trends for coronary heart disease in China.Frontiers in medicine · 2026Pooled it
- Artificial intelligence-enhanced management system for secondary prevention of coronary heart disease: a randomized clinical trial.BMC medicine · 2026Trial
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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