ReviewJournal of cardiovascular translational research2015
Developing Peripheral Blood Gene Expression-Based Diagnostic Tests for Coronary Artery Disease: a Review.
Review in Journal of cardiovascular translational research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Blood Biomarkers for Healthy Aging.Gerontology · 2023Review
- Whole blood transcriptome profile at hospital admission discriminates between patients with ST-segment elevation and non-ST-segment elevation acute myocardial infarction.Scientific reports · 2020Article
- Circulating Leukocytes and Oxidative Stress in Cardiovascular Diseases: A State of the Art.Oxidative medicine and cellular longevity · 2019Review
- Circulating Extracellular Vesicles Contain miRNAs and are Released as Early Biomarkers for Cardiac Injury.Journal of cardiovascular translational research · 2016Article
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
The past 20 years has witnessed the development of technologies designed to measure changes in the expressed human genome, including the levels of RNA transcripts, proteins, and metabolites. Gene expression profiling, or the measurement of RNA transcripts, allows investigators to obtain a snapshot of a subject's current physiological state and may be used to assess disease likelihood. In this review, we provide an overview of recent work using peripheral blood gene expression to assess coronary artery disease (CAD) and discuss the best approaches for developing and validating tests utilizing such gene expression signatures.
Indexed as
Identifiers
26109386What 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.