ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2021
Machine Learning Identifies Metabolic Signatures that Predict the Risk of Recurrent Angina in Remitted Patients after Percutaneous Coronary Intervention: A Multicenter Prospective Cohort Study.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Development and validation of a machine learning predictive model for one-month post-revascularization angina in patients who had undergone PCI or CABG.Frontiers in cardiovascular medicine · 2026Article
- Machine learning and multi-omics integration: advancing cardiovascular translational research and clinical practice.Journal of translational medicine · 2025Review
- Exploring the Efficacy and Target Genes ofCurrent issues in molecular biology · 2025Article
- Development of machine learning models for predicting postoperative hyperglycemia in non-diabetic gastric cancer patients: a retrospective cohort study analysis.Frontiers in endocrinology · 2025Article
- Multinomial machine learning identifies independent biomarkers by integrated metabolic analysis of acute coronary syndrome.Scientific reports · 2023Article
- Machine learning approaches for biomarker discovery to predict large-artery atherosclerosis.Scientific reports · 2023Article
- Metabolic systems approaches update molecular insights of clinical phenotypes and cardiovascular risk in patients with homozygous familial hypercholesterolemia.BMC medicine · 2023Article
- Progress in the Metabolomics of Acute Coronary Syndrome.Reviews in cardiovascular medicine · 2023Review
- Comprehensive Metabolomics and Machine Learning Identify Profound Oxidative Stress and Inflammation Signatures in Hypertensive Patients with Obstructive Sleep Apnea.Antioxidants (Basel, Switzerland) · 2022Article
- Machine Learning Algorithm to Predict Obstructive Coronary Artery Disease: Insights from the CorLipid Trial.Metabolites · 2022Article
- Machine learning identifies baseline clinical features that predict early hypothyroidism in patients with Graves' disease after radioiodine therapy.Endocrine connections · 2022Article
- Perturbations in cardiac metabolism in a human model of acute myocardial ischaemia.Metabolomics : Official journal of the Metabolomic Society · 2021Article
- Machine Learning Identifies Metabolic Signatures that Predict the Risk of Recurrent Angina in Remitted Patients after Percutaneous Coronary Intervention: A Multicenter Prospective Cohort Study.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recurrent angina (RA) after percutaneous coronary intervention (PCI) has few known risk factors, hampering the identification of high-risk populations. In this multicenter study, plasma samples are collected from patients with stable angina after PCI, and these patients are followed-up for 9 months for angina recurrence. Broad-spectrum metabolomic profiling with LC-MS/MS followed by multiple machine learning algorithms is conducted to identify the metabolic signatures associated with future risk of angina recurrence in two large cohorts (
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