ReviewCurrent heart failure reports2015
Role of Imaging Techniques for Diagnosis, Prognosis and Management of Heart Failure Patients: Cardiac Magnetic Resonance.
Review in Current heart failure reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed, 66 citations in OpenAlex.
- Precision-guided heart failure interventions: The expanding role of advanced cardiac imaging and artificial intelligence.American heart journal plus : cardiology research and practice · 2026Review
- Dilated cardiomyopathy evaluation with Imagenomics: combining multimodal cardiovascular imaging and genetics.ESC heart failure · 2025Review
- Chinese Guidelines for the Diagnosis and Treatment of Heart Failure 2024.Journal of geriatric cardiology : JGC · 2025Article
- The Association of Heart Failure and Liver T1 Mapping in Cardiac Magnetic Resonance Imaging.Diagnostics (Basel, Switzerland) · 2025Article
- The relationship between right ventricular functions and early clinical events during hospitalization and after discharge in patients with low ejection fraction heart failure.Frontiers in cardiovascular medicine · 2025Article
- Cardiac function in a large animal model of myocardial infarction at 7 T: deep learning based automatic segmentation increases reproducibility.Scientific reports · 2024Article
- Myocardial fibrosis and prognosis in heart failure with preserved ejection fraction: a pooled analysis of 12 cohort studies.European radiology · 2024Article
- Paediatric Thoracic Imaging in Cystic Fibrosis in the Era of Cystic Fibrosis Transmembrane Conductance Regulator Modulation.Children (Basel, Switzerland) · 2024Review
- Heart Failure with Preserved Ejection Fraction: The Pathophysiological Mechanisms behind the Clinical Phenotypes and the Therapeutic Approach.International journal of molecular sciences · 2024Review
- 2023 National Heart Center/Saudi Heart Association Focused Update of the 2019 Saudi Heart Association Guidelines for the Management of Heart Failure.Journal of the Saudi Heart Association · 2023Article
- T2 mapping in myocardial disease: a comprehensive review.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2022Review
- Review
- Assessment of four different cardiac softwares for evaluation of LVEF with CZT-SPECT vs CMR in 48 patients with recent STEMI.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020Article
- The Spectrum of Non-ischemic Cardiac Magnetic Resonance Imaging Findings: A Retrospective Analysis.Cureus · 2020Article
- Quantitative comparison of two-dimensional and three-dimensional strain measurement using MRI feature tracking in repair Fontan patients and normal child volunteers.BMC medical imaging · 2020Article
- Multi-Modality Imaging in Dilated Cardiomyopathy: With a Focus on the Role of Cardiac Magnetic Resonance.Frontiers in cardiovascular medicine · 2020Review
- Biomarkers for Heart Failure Prognosis: Proteins, Genetic Scores and Non-coding RNAs.Frontiers in cardiovascular medicine · 2020Review
- Diagnosis and Management of Patients with Heart Failure with Preserved Ejection Fraction (HFpEF): Current Perspectives and Recommendations.Therapeutics and clinical risk management · 2020Review
- Cardiovascular magnetic resonance: contribution to the exploration of cardiomyopathies.Medicine and pharmacy reports · 2019Review
- Prognostic value of myocardial strain and late gadolinium enhancement on cardiovascular magnetic resonance imaging in patients with idiopathic dilated cardiomyopathy with moderate to severely reduced ejection fraction.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
Cardiac magnetic resonance (CMR) has evolved into a major tool for the diagnosis and assessment of prognosis of patients suffering from heart failure. Anatomical and structural imaging, functional assessment, T1 and T2 mapping tissue characterization, and late gadolinium enhancement (LGE) have provided clinicians with tools to distinguish between non-ischemic and ischemic cardiomyopathies and to identify the etiology of non-ischemic cardiomyopathies. LGE is a useful tool to predict the likelihood of functional recovery after revascularization in patients with CAD and to guide the left ventricular (LV) lead placement in those who qualify for cardiac resynchronization (CRT) therapy. In addition, the presence of LGE and its extent in myocardial tissue relate to overall cardiovascular outcomes. Emerging roles for cardiac imaging in heart failure with preserved ejection fraction (HFpEF) are being studied, and CMR continues to be among the most promising noninvasive imaging alternatives in the diagnosis of this disease.
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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.