ArticleThe Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology2020
Prevalence of type 2 diabetes mellitus and association of HbA1c with severity of coronary artery disease in patients presenting as non-diabetic acute coronary syndrome.
Article in The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 25 citations in OpenAlex.
- Article
- Correlation Between Hemoglobin Levels and Severity of Coronary Artery Disease in Patients With Myocardial Infarction.Cureus · 2025Article
- The relationship between Gensini score and rates of 30-day mortality in acute coronary syndrome patients in China.BMC cardiovascular disorders · 2025Article
- Article
- Article
- Article
- Article
- Article
- Use machine learning models to identify and assess risk factors for coronary artery disease.PloS one · 2024Article
- The Complexity of Peripheral Arterial Disease and Coronary Artery Disease in Diabetic Patients: An Observational Study.Cardiology research · 2023Article
- C1q tumor necrosis factor-related protein 4 is associated with coronary artery disease in patients with type 2 diabetes.Journal of diabetes investigation · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAcute coronary syndrome (ACS) indicates the serious clinical manifestation of coronary artery disease (CAD) and is closely associated with cardiovascular prognosis in patients with ACS. This study was aimed to study the prevalence of type 2 diabetes mellitus (T2DM) and the relation of HbA1c with the severity of CAD in patients presenting as non-diabetic ACS. Diabetic status of the patients was assessed with fasting blood sugar (FBS) and HbA1c levels, and coronary artery disease burden was assessed by coronary angiography.
resultsOut of 208 patients, 85.1% were males, and 14.9% were females; 73.56% cases were hypertensive. 80.77% of cases had STEMI, 17.79% had NSTEMI, and 1.44% had unstable angina. Out of 168 STEMI patients, 64.3% were thrombolysed, 21.42% presented late, 2.38% had contraindications to thrombolysis, and 11.9% underwent primary PCI. FBS in diabetic range was found in 44.23% of cases, impaired FBS in 36.54%, and 19.23% of patients had FBS in non-diabetic range. According to HbA1c, 41.8% were diabetic, 39.4% were pre-diabetic, and 18.8% were non-diabetic. A significant positive correlation was found between HbA1c and Gensini score and between HbA1c and the number of vessels involved.
conclusionThis study emphasises the importance of evaluating the presence of diabetes in patients presenting as non-diabetic acute coronary syndrome in developing countries. Acute coronary syndrome may be considered as one of the presentations of diabetes mellitus.
Indexed as
Identifiers
What 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.