Evidence map›Paper›PMID 35673500›Full record

ArticleJournal of diabetes and metabolic disorders2022

Association amongst human A1166C polymorphism of the angiotensin II type 1 receptor gene with coronary artery disease in the Iraqi population.

Mazin Thamir Abdul-Hasan, Ali M Omara, Dhafer A F Al-Koofee

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In one paragraph

Article in Journal of diabetes and metabolic disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 53% 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, 2 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Mazin Thamir Abdul-HasanDepartment of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmacy, University of Kufa, Najaf, Iraq.
Ali M OmaraDepartment of Clinical Biochemistry, Faculty of Medicine, University of Al-Ameed, Karbala, Iraq.
Dhafer A F Al-KoofeeDepartment of Clinical Laboratory Science, Faculty of Pharmacy, University of Kufa, Najaf, Iraq.
University of Kufa · IQUniversity of Karbala · IQ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Coronary artery disease (CAD) is a major cause of death worldwide. There is relatively little data available on the genetic susceptibility to CAD in the Iraqi population. We have therefore investigated the association between angiotensin II type 1 receptor gene polymorphism A1166C and the presence of CAD in a sample of the Iraqi population. Methods: This case-control study enrolled 150 CAD patients, with CAD confirmed by coronary angiography, and 200 controls. The AT1R polymorphism A1166C was analyzed by the allele-specific polymerase chain reaction (AS-PCR) technique. Serum analyses, such as lipid concentrations, were measured and analyzed. Results: The C allele and CC genotype frequencies were significantly higher in patients with CAD compared to the controls. Logistic regression analysis showed that the codominant, dominant, and recessive models were associated with risk of CAD of (OR = 1.32, 95% CI: 1.2-1.4, P = 0.000; OR = 1.25, 95% CI: 1.1-1.3, P = 0.000, OR = 1.27, 95% CI: 1.1-1.3, P = 0.000, OR = 1.18, 95% CI: 1.0-1.4), respectively. In the patient group, the presence of the mutant C allele was significantly associated with higher levels of CAD risk factors such as total cholesterol (TC) and low-density lipoprotein (LDL). Conclusion: The study indicated that the A1166C polymorphism may be associated with the presence of CAD in the Iraqi population. The AT1R polymorphism may therefore be a useful marker of susceptibility to CAD.

Indexed as

Angiotensin II type 1 receptorCoronary artery diseasePolymorphism

Identifiers

PMID35673500
PMCPMC9167172
OpenAlexW4224226082

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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.