ArticleComputational and mathematical methods in medicine2021
Analysis of Coronary Artery Lesion Degree and Related Risk Factors in Patients with Coronary Heart Disease Based on Computer-Aided Diagnosis of Coronary Angiography.
Article in Computational and mathematical methods in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 5 papers.
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.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Risk factors based vessel-specific prediction for stages of coronary artery disease using Bayesian quantile regression machine learning method: Results from the PARADIGM registry.Clinical cardiology · 2023Trial
- Article
- Perceived stress and anxiety levels of patients undergoing coronary angiography.The Journal of international medical research · 2025Article
- Retracted: Analysis of Coronary Artery Lesion Degree and Related Risk Factors in Patients with Coronary Heart Disease Based on Computer-Aided Diagnosis of Coronary Angiography.Computational and mathematical methods in medicine · 2023Article
- Intracoronary Ultrasound Imaging Combined with Traditional Chinese Medicine Nursing Applied in the Treatment of Coronary Heart Disease Patients with Phlegm and Blood Stasis Syndrome.Contrast media & molecular imaging · 2022Article
Corrections and comments
- Retraction · 2023-07-26Concerns/Issues about Data · Concerns/Issues about Human Subject Welfare · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Peer Review · Investigation by Journal/Publisher · Investigation by Third Party · Lack of IRB/IACUC Approval and/or Compliance · Unreliable Results and/or Conclusions · · See also: https://pubpeer.com/publications/79781CC21D29C0B9E64528C5538035
- Retracted
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A combination of various risk factors results in the development of coronary heart disease. The earlier that one identifies and deals with reversible risk factors for coronary heart disease, the greater the chance of recovery. The main goal of this research is to learn whether risk variables are associated with greater extent of coronary artery disease in people with coronary heart disease. This article selects 290 patients who had had coronary angiography in our hospital from September 2018 to March 2019 using a retrospective research and analytic methodology. Coronary angiography split the patients into two groups: those with coronary heart disease and those without. To determine the correlation between risk factors and a score related to heart disease, computer-aided statistical analysis of data about the differences in those risk factors was performed. The results were analyzed using the Spearman correlation and partial correlation, and the relationship between risk factors and Gensini score was analyzed by multiple linear regression. For the analysis, binary logistic regression was used to calculate the correlation between the risk factors of coronary heart disease and the probability of developing coronary heart disease. The findings concluded that increased age, smoking, elevated hs-CRP, HbA1c, hypertension, diabetes, and hyperuricemia are all contributors to coronary heart disease. Coronary heart disease is an independent risk factor for this condition. Many of the factors that play a role in the long-term development of the severity of coronary artery disease, such as hypertension, diabetes, smoking, elevated hs-CRP, decreased HDL-C, raised LDL-C, and TG, are commonly found in men. hs-CRP is the primary risk factor for the degree of coronary artery stenosis and could contribute to the progression of the condition by playing a major role in creating more stenosis.
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