ArticleFrontiers in physiology2020
Multiple Feature Selection Strategies Identified Novel Cardiac Gene Expression Signature for Heart Failure.
Article in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 20 citations in OpenAlex.
- SerpinA3 is an Endogenous TGF-β Receptor Antagonist that Attenuates Cardiac Fibroblast Activation and Fibrotic Remodeling.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Unveiling Epigenetic Regulatory Elements Associated with Breast Cancer Development.International journal of molecular sciences · 2025Article
- Dynamics of SERPINA3 in response to anthracycline treatment and cardiovascular dysfunction.Cardio-oncology (London, England) · 2025Article
- Identification of biomarkers and immune microenvironment associated with heart failure through bioinformatics and machine learning.Frontiers in molecular biosciences · 2025Article
- Identifying plasma proteomic signatures from health to heart failure, across the ejection fraction spectrum.Scientific reports · 2024Article
- Plasma SMOC2 Predicts Prognosis in Patients with Heart Failure: A Prospective Cohort.International journal of general medicine · 2024Article
- Prediction of diagnostic gene biomarkers for hypertrophic cardiomyopathy by integrated machine learning.The Journal of international medical research · 2023Article
- Integrated bioinformatics analysis for identifying key genes and pathways in female and male patients with dilated cardiomyopathy.Scientific reports · 2023Article
- SMOC2 plays a role in heart failure via regulating TGF-β1/Smad3 pathway-mediated autophagy.Open medicine (Warsaw, Poland) · 2023Article
- Suppression of SMOC2 alleviates myocardial fibrosisFrontiers in cardiovascular medicine · 2022Article
- Integrated Strategies of Diverse Feature Selection Methods Identify Aging-Based Reliable Gene Signatures for Ischemic Cardiomyopathy.Frontiers in molecular biosciences · 2022Article
- Multiple-model machine learning identifies potential functional genes in dilated cardiomyopathy.Frontiers in cardiovascular medicine · 2022Article
- Identification of potential biomarkers of inflammation-related genes for ischemic cardiomyopathy.Frontiers in cardiovascular medicine · 2022Article
- VCAM1 expression in the myocardium is associated with the risk of heart failure and immune cell infiltration in myocardium.Scientific reports · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Heart failure (HF) is a serious condition in which the support of blood pumped by the heart is insufficient to meet the demands of body at a normal cardiac filling pressure. Approximately 26 million patients worldwide are suffering from heart failure and about 17-45% of patients with heart failure die within 1-year, and the majority die within 5-years admitted to a hospital. The molecular mechanisms underlying the progression of heart failure have been poorly studied. We compared the gene expression profiles between patients with heart failure (
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.