Observational studyMedicine2022
Gensini score values for predicting periprocedural myocardial infarction: An observational study analysis.
Observational study in Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 5 citations in OpenAlex.
- Association of the Uric Acid-to-Magnesium Ratio and Frontal QRS-T Angle with Angiographic Coronary Disease Severity in Acute Coronary Syndrome.Journal of clinical medicine · 2026Article
- Association Between Gensini Score and Left Ventricular Thrombus in Patients With Acute ST-Segment Elevation Myocardial Infarction.Reviews in cardiovascular medicine · 2026Article
- Development and validation of a machine learning model for predicting coronary artery disease risk: a retrospective study.Frontiers in cardiovascular medicine · 2026Article
- Assay-Dependent Variability in RBP4 and Adiponectin Quantification Affects Associations with Coronary Disease Severity and Doppler Echocardiographic Indices: A Comparative Study of Immunoturbidimetry and ELISA.International journal of general medicine · 2026Article
- The relationship between Gensini score and rates of 30-day mortality in acute coronary syndrome patients in China.BMC cardiovascular disorders · 2025Article
- Serum sST2: key biomarkers in COVID-19 patients with implications for coronary artery disease.BMC infectious diseases · 2025Article
- Exploring the Complementary Role of Traditional Chinese Medicine in Enhancing Percutaneous Coronary Intervention Outcomes: Mechanisms, Benefits, and Future Research Directions.Therapeutics and clinical risk management · 2025Article
- Value of lipoprotein(a) in predicting severity of coronary artery stenosis in patients with chronic coronary artery disease: a cross-sectional study in Vietnam.Frontiers in cardiovascular medicine · 2025Article
- Use of blood glucose level for predicting the degree of coronary artery disease and cardiovascular adverse events in diabetic patients with acute coronary syndrome.American journal of translational research · 2025Article
- Association between endothelin-1, nitric oxide, and Gensini score in chronic coronary syndrome.BMC cardiovascular disorders · 2023Article
- Diagnostic value of high sensitivity cardiac troponin T (hs-cTnT) in dialysis patients with myocardial infarction.Frontiers in cardiovascular medicine · 2023Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Gensini score (GS) is a convenient, powerful tool for assessing the severity and complexity of coronary artery diseases. Our research investigated the relationship between the GS and periprocedural myocardial infarction (PMI). We recruited 4949 patients (3366 men, 1583 women; mean age 66.45 ± 10.09 years) with a single coronary artery revascularization. Based on the tertile of the GS 20 and 36, the population was divided into 3 groups: Low Group (0 < GS ≤ 20, N = 1809); Intermediate Group (20 < GS ≤ 36, N = 1579); High Group (GS > 36, N = 1561). PMI3 represented the endpoint for cTnI > 3-fold upper reference limit, while PMI5 represented the endpoint for cTnI > 5-fold upper reference limit. The incidence of PMI of High Group was statistically higher than that of Intermediate Group (P < .05), while that of Intermediate Group was statistically higher than Low Group (P < .05). With the adjustment of some general variables, GS was an independent significantly predictor for PMI3 (β = 0.006, P < .05) and PMI5 (β = 0.007, P < .05). Following receiver operating characteristic curve analysis, the optimal cut-off value to predict PMI are 22.5 for PMI3 and 27 for PMI5. The GS was an independent predictor of PMI in the single-coronary revascularization population. Additionally, the 22.5 of GS was the optimal cut-off value for determining the presence of PMI3, while the 27 of GS for PMI5.
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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 OpenQuestion graph.