ReviewEuropean heart journal. Cardiovascular Imaging2013
Image-guided therapies for myocardial repair: concepts and practical implementation.
Review in European heart journal. Cardiovascular Imaging, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 18 citations in OpenAlex.
- Left ventricular remodelling post-myocardial infarction: pathophysiology, imaging, and novel therapies.European heart journal · 2022Review
- Multimodality Imaging of Inflammation and Ventricular Remodeling in Pressure-Overload Heart Failure.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2020Article
- Emerging imaging targets for infiltrative cardiomyopathy: Inflammation and fibrosis.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019Review
- PET-based myocardial efficiency: Powerful yet under-utilized-now simpler than ever.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2018Article
- Targeting Amino Acid Metabolism for Molecular Imaging of Inflammation Early After Myocardial Infarction.Theranostics · 2016Article
- PET imaging of cardiac wound healing using a novel [68Ga]-labeled NGR probe in rat myocardial infarction.Molecular imaging and biology · 2015Article
- Targeting post-infarct inflammation by PET imaging: comparison of (68)Ga-citrate and (68)Ga-DOTATATE with (18)F-FDG in a mouse model.European journal of nuclear medicine and molecular imaging · 2015Article
- The complex role of cardiovascular imaging in viability testing.Progress in cardiovascular diseasesReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
Cell- and molecule-based therapeutic strategies to support wound healing and regeneration after myocardial infarction (MI) are under development. These emerging therapies aim at sustained preservation of ventricular function by enhancing tissue repair after myocardial ischaemia and reperfusion. Such therapies will benefit from guidance with regard to timing, regional targeting, suitable candidate selection, and effectiveness monitoring. Such guidance is effectively obtained by non-invasive tomographic imaging. Infarct size, tissue characteristics, muscle mass, and chamber geometry can be determined by magnetic resonance imaging and computed tomography. Radionuclide imaging can be used for the tracking of therapeutic agents and for the interrogation of molecular mechanisms such as inflammation, angiogenesis, and extracellular matrix activation. This review article portrays the hypothesis that an integrated approach with an early implementation of structural and molecular tomographic imaging in the development of novel therapies will provide a framework for achieving the goal of improved tissue repair after MI.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.