ArticleAmerican journal of translational research2021
The value of coronary CTA in the diagnosis of coronary artery disease.
Article in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- The possible mechanisms linking chronic obstructive pulmonary disease and coronary atherosclerosis based on coronary computed tomography angiography and animal experiments.Frontiers in physiology · 2026Article
- Evolving Role of Coronary CT Angiography in Coronary Angiography and Intervention: A State-of-the-Art Review.Current cardiology reports · 2024Review
- Coronary CT angiography: First comparison of model-based and hybrid iterative reconstruction with the reference standard invasive catheter angiography for CAD-RADS reporting.European journal of radiology open · 2024Article
- A Review of Factors Affecting Radiation Dose and Image Quality in Coronary CTA Performed with Wide-Detector CT.Tomography (Ann Arbor, Mich.) · 2024Review
- Article
- Correlation of Computed Tomographic Angiography in Patients Undergoing Coronary Artery Bypass Grafting and Effect of Standardized Rehabilitation Nursing.Computational intelligence and neuroscience · 2022Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo investigate the diagnostic value of coronary computed tomography angiography (CTA) in the detection of coronary artery disease.
methodsFrom January 2017 to December 2019, 150 patients with suspected coronary artery disease admitted to the Affiliated People's Hospital of Ningbo University were recruited as the research cohort for this study. All the patients underwent a coronary CTA and a coronary angiography. The results of the patients' coronary CTAs and coronary angiographies were compared. Analyses were performed on the practical implications of coronary CTA in the detection of coronary artery disease and the detection and coincidence rates of coronary CTA for determining the severity of coronary stenosis.
resultsThere were no statistical differences in the detection of positive results of coronary artery diseases or the identification of coronary stenosis between the coronary CTAs and the coronary angiographies. The sensitivity of coronary CTA in the examination of coronary artery diseases was 81.8%. The specificity was 87.5%, the negative predictive value was 63.6%, and the positive predictive value was 94.7%. In contrast to the coronary angiography, the coincidence rates of coronary CTA for determining the location of coronary lesions were 89.1% for LAD lesions, 80.0% for LCX lesions, and 100% for RCA lesions.
conclusionsCoronary CTA has a significant value in the detection of coronary artery diseases, as it can accurately examine the severity of coronary stenoses and locate the sites of the stenotic lesions. It is worthy of clinical use.
Indexed as
Identifiers
34150120PMC8205783What 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.