ArticleNPJ digital medicine2025
Effectiveness of digital healthcare to improve clinical outcomes in discharged patients with coronary artery disease.
Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Artificial intelligence-enhanced management system for secondary prevention of coronary heart disease: a randomized clinical trial.BMC medicine · 2026Trial
- Use of a digital health solution after percutaneous coronary intervention: a randomised controlled trial.Frontiers in digital health · 2026Trial
- Retrospective analysis of digital health technology effectiveness in cardiac rehabilitation.Bioinformation · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Post-discharge management of coronary artery disease (CAD) remains clinically challenging, with digital healthcare's efficacy underexplored. This study analyzed 16,797 CAD patients enrolled in the HeartMed Digital Management System (June 2018-September 2022), comparing outcomes between a digital management (DM, n = 4,713) and conventional management (CM, n = 12,084) cohort over 12 months. Cox models adjusted for confounders revealed significantly reduced all-cause mortality in the DM group (1.6% vs. 2.7%; HR 0.58, 95% CI 0.45-0.75, p < 0.001) and lower risks for major adverse cardiovascular events (MACCE: 6.4% vs. 9.2%; HR 0.67, 0.59-0.77, p < 0.001), cardiovascular death (HR 0.70, 0.51-0.95), myocardial infarction (HR 0.38, 0.29-0.50), recurrent angina (HR 0.75, 0.65-0.87), revascularization (HR 0.84, 0.71-0.99), and readmissions (HR 0.76, 0.68-0.84) (p < 0.05 for all). Digital healthcare demonstrates superior post-discharge optimization of CAD outcomes, significantly attenuating mortality and morbidity.
Identifiers
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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.