ArticleBiomedicines2024
Machine Learning Model Discriminate Ischemic Heart Disease Using Breathome Analysis.
Article in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06181799 (Biomarkers of the Exhaled Breath and Single-Lead Electrocardiography in the Diagnosis of Myocardial Ischemia), which is not on this map. Cited by 8 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.
Biomarkers of the Exhaled Breath and Single-Lead Electrocardiography in the Diagnosis of Myocardial Ischemia
Who cites it
8 citing papers in PubMed.
- Development and validation of a machine learning model for diagnosis of ischemic heart disease using single-lead electrocardiogram parameters.World journal of cardiology · 2025Trial
- Cross-Disease Breathomics by PTR-TOF-MS: Multiclass Machine Learning and Network Remodeling Across Asthma, COPD, Cystic Fibrosis, and Lymphangioleiomyomatosis.International journal of molecular sciences · 2026Article
- Exhaled Volatile Organic Compounds in Ischemic Cardiomyocytes: Signatures of Oxidative Stress!Reviews in cardiovascular medicine · 2026Review
- Myocardiocyte senescence in ischemic heart disease and breathome changes.World journal of experimental medicine · 2026Review
- CABIT: a novel biomarkers-integrated inflammatory risk tool for ischemic heart disease developed in the USA and prospectively validated in China.Journal of translational medicine · 2026Article
- Exhaled Breath Biomarkers Reflect the Inflammasome and Lipidome Changes in Ischemic Heart Disease: A Study Using Machine Learning Models and Network Analysis.Journal of lipid and atherosclerosis · 2025Article
- Advancements in Sensor Technology for Monitoring and Management of Chronic Coronary Syndrome.Sensors (Basel, Switzerland) · 2025Review
- Volatilome and machine learning in ischemic heart disease: Current challenges and future perspectives.World journal of cardiology · 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
11 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.