ReviewCurrent cardiology reports2018
Biomarker Discovery in Cardio-Oncology.
Review in Current cardiology reports, 2018. 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
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
9 citing papers in PubMed.
- Artificial Intelligence to Enhance Precision Medicine in Cardio-Oncology: A Scientific Statement From the American Heart Association.Circulation. Genomic and precision medicine · 2025Review
- The Spatial Ventricular Gradient Is an Independent Predictor of Anthracycline-Associated Cardiotoxicity.JACC. Advances · 2023Article
- The Value of Troponin as a Biomarker of Chemotherapy-Induced Cardiotoxicity.Life (Basel, Switzerland) · 2022Review
- Improving cardiotoxicity prediction in cancer treatment: integration of conventional circulating biomarkers and novel exploratory tools.Archives of toxicology · 2021Review
- Mechanistic Biomarkers Informative of Both Cancer and Cardiovascular Disease: JACC State-of-the-Art Review.Journal of the American College of Cardiology · 2020Review
- Proteomic analysis reveals sex-specific biomarker signature in postural orthostatic tachycardia syndrome.BMC cardiovascular disorders · 2020Article
- Innovation in Precision Cardio-Oncology During the Coronavirus Pandemic and Into a Post-pandemic World.Frontiers in cardiovascular medicine · 2020Article
- Use of Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes in Preclinical Cancer Drug Cardiotoxicity Testing: A Scientific Statement From the American Heart Association.Circulation research · 2019Review
- Rapid Solution-Phase Hydrogen/Deuterium Exchange for Metabolite Compound Identification.Journal of the American Society for Mass Spectrometry · 2019Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewIn this article, we review current and emerging approaches to biomarker discovery to facilitate early diagnosis of cancer therapy-associated cardiovascular toxicity. RECENT
findingsAlthough small studies have demonstrated an association between established biomarkers of cardiac injury (troponins and brain natriuretic peptide) and acute or subacute cardiotoxicity, there is insufficient evidence to support their use in routine clinical care. Preclinical studies to define the molecular mechanisms of cardiotoxicity, as well as the use of unbiased "omics" techniques in small patient cohorts, have yielded promising candidate biomarkers that have the potential to enrich current risk stratification algorithms. New biomarkers of cardiotoxicity have the potential to improve patient outcomes in cardio-oncology. Further studies are needed to assess the clinical relevance of molecular mechanisms described in animal models. Similarly, findings from "omics" platforms require validation in large patient cohorts before they can be incorporated into everyday practice.
Indexed as
Identifiers
29802472What 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.