Observational studyBMC cardiovascular disorders2019
Predicting stroke and death in patients with heart failure using CHA
Observational study in BMC cardiovascular disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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Who cites it
9 citing papers in PubMed.
- Machine learning approach for predicting cardiovascular disease in Bangladesh: evidence from a cross-sectional study in 2023.BMC cardiovascular disorders · 2024Article
- A nomogram to predict ventricular thrombus in dilated cardiomyopathy patients.Journal of thrombosis and thrombolysis · 2024Article
- N-terminal pro-B-type natriuretic peptide improves the predictive value of CHAClinical cardiology · 2023Article
- Improvement of a prediction model for heart failure survival through explainable artificial intelligence.Frontiers in cardiovascular medicine · 2023Article
- Predicting stroke in heart failure and reduced ejection fraction without atrial fibrillation.European heart journal · 2022Article
- A novel risk model to predict first-ever ischemic stroke in heart failure with reduced ejection fraction.Aging · 2021Article
- Value of the CHAESC heart failure · 2020Article
- Paradigm Shifts of Heart Failure Therapy: Do We Need Another Paradigm?International journal of heart failure · 2020Review
- Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone.BMC medical informatics and decision making · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe CHA
methodsPatients hospitalized for HF were enrolled in the Korean Acute Heart Failure (KorAHF) registry, a prospective observational multicenter cohort study, between March 2011 and February 2014. Patients with a history of cancer before hospitalization for HF were excluded. The discriminatory properties of the CHA
resultsThe study included 5158 patients with HF, 2091 with and 3067 without AF. Rates of stroke in these two groups were 4.5 and 2.8%, respectively, after 1 year, and 5.5 and 3.4%, respectively, after 2 years. Each 1-point increase in CHA
conclusionsAmong patients with incident HF with and without AF, CHA
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Registered trials
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