Evidence map›Paper›PMID 32779107›Full record

ArticleIrish journal of medical science2021

The use of glycosylated hemoglobin (HbA1c) as a predictor of the severity of acute coronary syndrome among diabetic patients.

Ahmed Abdalazim Dafallah Albashir, Omer Ali Mohamed Ahmed Elawad, Hussam Khougali Mohamed

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Article in Irish journal of medical science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 18% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Ahmed Abdalazim Dafallah AlbashirTeaching assistant, Faculty of Medicine, University of Gezira, Wad medani, Gezira state, Sudan. drahmedabdalazim1992@yahoo.com.ORCID http://orcid.org/0000-0001-9321-489X
Omer Ali Mohamed Ahmed ElawadFaculty of Medicine, University of Gezira, Wad Medani, Gezira state, Sudan.
Hussam Khougali MohamedFaculty of Medicine, University of Gezira, Wad Medani, Gezira state, Sudan.
University of Gezira · SD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute myocardial infarction in patients with type two diabetes mellitus is usually present with multiple vessel lesions during coronary angiography. The underlying mechanism remains unexplored, and there is a deficiency of serum predictive markers. Glycosylated hemoglobin (HbA1c), which is a critical measure of glycemic control, could be used as a reliable predictor of the severity of ACS. MATERIALS AND

methodsThis is a prospective descriptive comparative hospital-based study measured the correlation between levels of HbA1c and the severity of ACS using the modified Gensini score (MGS). A total of 85 patients were enrolled in this study in the period between September and November 2019. The MGS depends on the number of vessels which are stenosed with the degree of stenosis more than 50% of their lumen. Data was analyzed using SPSS V. 2018. Chi-square test was used.

resultsThe total number of enrolled patients was 85. Dyslipidemia was found among 63 (74.1%) patients, and 52 (69.4%) of the patients were noted to have hypertension. A total of 19 (22.4%) patients were smokers. About 59 (69.4%) patients had a family history of IHD, and 22 patients (25.9%) had a history of IHD. STEMI was the main ECG finding 54 (63.5%). Modified Gensini score depicted that 32 (35.29%) had mild acute coronary syndrome, 23(27.06%) had moderate, and 30 (37.65%) had severe acute coronary syndrome. HbA1c was significantly positively correlated with the severity of ACS among diabetic patients (P value = 0.000).

conclusionIn diabetic patients with acute coronary syndrome, HbA1c levels can be used as a predictor for the severity of CAD.

Indexed as

Acute Coronary SyndromeAdultAgedAged, 80 and overBiomarkersFemaleGlycated HemoglobinHumansMaleMiddle AgedProspective StudiesBiomarkersGlycated HemoglobinAcute coronary syndromeDiabetes mellitusHbA1c

Identifiers

PMID32779107
OpenAlexW3048911109

What OpenQuestion holds

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Registered trials

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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.