Evidence map›Paper›PMID 23661020›Full record

ArticleMolecular biology reports2013

Gender specificity of a genetic variant of angiotensin-converting enzyme and risk of coronary artery disease.

Negar Firouzabadi, Nader Tajik, Ehsan Bahramali, Hooman Bakhshandeh, Mohsen Maadani, Massoumeh Shafiei

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. 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

6 authors at 1 institution in 1 country.

Negar FirouzabadiDepartment of Pharmacology, School of Medicine, Tehran University of Medical Sciences, Hemmat Highway, 14496, Tehran, Iran.
Nader Tajik
Ehsan Bahramali
Hooman Bakhshandeh
Mohsen Maadani
Massoumeh Shafiei
Tehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Etiological factors for coronary artery disease (CAD) involve a wide range of gene and environmental interactions. One of the systems being implicated in the pathophysiology of CAD is the renin-angiotensin system (RAS). However, the genetic polymorphisms of this system have not been widely studied in Iranian patients diagnosed with CAD. The aim of this study was to assess the relationship between six gene polymorphisms of RAS components and CAD in a sample of Iranian population. A total of 374 participants were enrolled in a case/control study. The presence of CAD was determined by coronary angiography. Genotyping of six RAS gene polymorphisms was performed using a modified PCR-RFLP method. Our results revealed, for the first time, a significant independent association of angiotensin-converting enzyme (ACE) A-240T polymorphism and incidence of CAD among Iranian women (P=0.005, OR=20.4, 95% CI=2.49-41.2). There has also been a significant difference in genotype distribution of ACE A-240T (P=0.008) and angiotensin II receptor type 2 C3123A polymorphism (P=0.032) in Iranian female participants. In conclusion, TT genotype of ACE A-240T seems to be a genetic risk factor for CAD in Iranian women.

Indexed as

Coronary AngiographyCoronary Artery DiseaseDNA PrimersFemaleGenetic Association StudiesGenetic Predisposition to DiseaseGenotypeHumansIranOdds RatioPeptidyl-Dipeptidase APolymerase Chain ReactionPolymorphism, Restriction Fragment LengthPolymorphism, Single NucleotideRenin-Angiotensin SystemSex FactorsDNA PrimersPeptidyl-Dipeptidase A

Identifiers

PMID23661020
OpenAlexW2000355641

What OpenQuestion holds

Textmetadata
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.