Trial reportAnnals of internal medicine2010
Multicenter validation of the diagnostic accuracy of a blood-based gene expression test for assessing obstructive coronary artery disease in nondiabetic patients.
Trial report in Annals of internal medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 83 papers, 4 of them syntheses that pooled it.
What it found
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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.
White Blood Cells Gene Expression Profiles as a Tool for Predicting Metformin Efficacy in Patients With Type 2 Diabetes Mellitus
Identification of Gene Expression Patterns in Circulating Cells That Predict the Presence of Coronary Artery Disease
A Prospective, Non-Randomized, Multi-Center Observational Study to Establish a Physical Baseline Profile for Individual Study Subjects Using Various Modalities and Identify Deviations Via Longitudinal Monitoring That May Develop Over Time
Who cites it
83 citing papers in PubMed, 4 syntheses or guidelines pooled it, 177 citations in OpenAlex.
- Systematic review of instruments for measuring sex and gender attributes: assessment of measurement properties and utility in research on clinical and functional outcomes.Biomedical engineering online · 2026Pooled it
- Pooled it
- Diagnostic models of the pre-test probability of stable coronary artery disease: A systematic review.Clinics (Sao Paulo, Brazil) · 2017Pooled it
- Clinical implications of referral bias in the diagnostic performance of exercise testing for coronary artery disease.Journal of the American Heart Association · 2013Pooled it
- Peripheral blood gene expression signatures which reflect smoking and aspirin exposure are associated with cardiovascular events.BMC medical genomics · 2018Trial
- Liquid biopsy based on whole blood transcriptome and artificial intelligence for the prediction of coronary artery calcification: a pilot study.European heart journal. Digital health · 2025Article
- Screening of CAD-related secretory genes associated with type II diabetes based on comprehensive bioinformatics analysis and machine learning.BMC cardiovascular disorders · 2024Article
- RNAseq profiling of blood from patients with coronary artery disease: Signature of a T cell imbalance.Journal of molecular and cellular cardiology plus · 2023Article
- Association of Systemic Immune Inflammation Index with All-Cause, Cardiovascular Disease, and Cancer-Related Mortality in Patients with Cardiovascular Disease: A Cross-Sectional Study.Journal of inflammation research · 2023Article
- Peripheral blood RNA biomarkers for cardiovascular disease from bench to bedside: a position paper from the EU-CardioRNA COST action CA17129.Cardiovascular research · 2022Article
- Associations of carotid intima media thickness with gene expression in whole blood and genetically predicted gene expression across 48 tissues.Human molecular genetics · 2022Article
- Development and validation of a machine learned algorithm to IDENTIFY functionally significant coronary artery disease.Frontiers in cardiovascular medicine · 2022Article
- Biomarker discovery studies for patient stratification using machine learning analysis of omics data: a scoping review.BMJ open · 2021Article
- Discriminating Bacterial and Viral Infection Using a Rapid Host Gene Expression Test.Critical care medicine · 2021Article
- RNA sequencing of blood in coronary artery disease: involvement of regulatory T cell imbalance.BMC medical genomics · 2021Article
- The GEnetic Syntax Score: a genetic risk assessment implementation tool grading the complexity of coronary artery disease-rationale and design of the GESS study.BMC cardiovascular disorders · 2021Observational
- Gene Expression Signature in Patients With Symptomatic Peripheral Artery Disease.Arteriosclerosis, thrombosis, and vascular biology · 2021Article
- Utility of S100A12 as an Early Biomarker in Patients With ST-Segment Elevation Myocardial Infarction.Frontiers in cardiovascular medicine · 2021Article
- Value of S100A12 in predicting in-stent restenosis in patients with coronary drug-eluting stent implantation.Experimental and therapeutic medicine · 2020Article
- Mitochondrial 8-hydroxy-2'-deoxyguanosine and coronary artery disease in patients with type 2 diabetes mellitus.Cardiovascular diabetology · 2020Article
23 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
22 authors at 10 institutions in 1 country.
Funding
Abstract
backgroundDiagnosing obstructive coronary artery disease (CAD) in at-risk patients can be challenging and typically requires both noninvasive imaging methods and coronary angiography, the gold standard. Previous studies have suggested that peripheral blood gene expression can indicate the presence of CAD.
objectiveTo validate a previously developed 23-gene, expression-based classification test for diagnosis of obstructive CAD in nondiabetic patients.
designMulticenter prospective trial with blood samples obtained before coronary angiography. (ClinicalTrials.gov registration number: NCT00500617)
setting39 centers in the United States. PATIENTS: An independent validation cohort of 526 nondiabetic patients with a clinical indication for coronary angiography. MEASUREMENTS: Receiver-operating characteristic (ROC) analysis of classifier score measured by real-time polymerase chain reaction, additivity to clinical factors, and reclassification of patient disease likelihood versus disease status defined by quantitative coronary angiography. Obstructive CAD was defined as 50% or greater stenosis in 1 or more major coronary arteries by quantitative coronary angiography.
resultsThe area under the ROC curve (AUC) was 0.70 ± 0.02 (P < 0.001); the test added to clinical variables (Diamond-Forrester method) (AUC, 0.72 with the test vs. 0.66 without; P = 0.003) and added somewhat to an expanded clinical model (AUC, 0.745 with the test vs. 0.732 without; P = 0.089). The test improved net reclassification over both the Diamond-Forrester method and the expanded clinical model (P < 0.001). At a score threshold that corresponded to a 20% likelihood of obstructive CAD (14.75), the sensitivity and specificity were 85% and 43% (yielding a negative predictive value of 83% and a positive predictive value of 46%), with 33% of patient scores below this threshold. LIMITATION: Patients with chronic inflammatory disorders, elevated levels of leukocytes or cardiac protein markers, or diabetes were excluded.
conclusionA noninvasive whole-blood test based on gene expression and demographic characteristics may be useful for assessing obstructive CAD in nondiabetic patients without known CAD. PRIMARY FUNDING SOURCE: CardioDx.
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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 Socratic graph.