Evidence map›Paper›PMID 26317015›Full record

ArticleJournal of biomarkers2013

eNOS Gene Variant in Patients with Coronary Artery Disease.

Milad Abolhalaj, Mahsa M Amoli, Parvin Amiri

Open access · hybridAbstract read
In one paragraph

Article in Journal of biomarkers, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Association between NOS3Iranian journal of public health · 2018
    Article
  3. Article
  4. Article
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 1 institution in 1 country.

Milad AbolhalajEndocrinology and Metabolism Research Center (EMRC), Tehran University of Medical Sciences, Tehran 14114, Iran.
Mahsa M AmoliEndocrinology and Metabolism Research Center (EMRC), Tehran University of Medical Sciences, Tehran 14114, Iran.
Parvin AmiriEndocrinology and Metabolism Research Center (EMRC), Tehran University of Medical Sciences, Tehran 14114, Iran.
Tehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Subject & Aim. Endothelial nitric oxide synthase (eNOS) is one of the most important candidate genes in CAD. A functional polymorphism within eNOS gene is a 27 bp VNTR on its intron 4 which has been shown to be associated with various diseases. In this study we investigated eNOS VNTR polymorphism in addition to eNOS gene expression profile in patients with CAD. Material and Methods. The study comprised patients with angiographically confirmed CAD (CAD(+)) and individuals with normal coronary as CAD(-). eNOS VNTR polymorphism frequencies were determined in both groups. In addition eNOS gene expression profile was examined using a quantitative real-time PCR. Results. We have found that aa genotype was significantly increasing the risk of CAD in our patients (aa versus ab + bb, P = 0.02, OR = 3.5; 95% CI: = 0.98 to 16.2). The differences in eNOS expression were not significant between patients and normal group; however in CAD(+) patients eNOS expression was higher than the expression level of patients carrying other genotypes (P = 0.16). Conclusion. We have observed that eNOS gene polymorphism was associated with CAD in angiography-confirmed patients. However, the difference in eNOS gene expression was not statistically significant between patients and control which might be due to the contribution of other confounding factors which require further investigations.

Identifiers

PMID26317015
PMCPMC4437368
OpenAlexW2066168973

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.