Evidence map›Paper›PMID 30142875›Full record

ArticleJournal of clinical medicine2018

Genetic and Environmental Dispositions for Cardiovascular Variability: A Pilot Study.

Radmila Karan, Suzana Cvjeticanin, Natasa Kovacevic-Kostic, Dejan Nikolic, Milos Velinovic, Vladimir Milicevic, Biljana Obrenovic-Kircanski

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Article in Journal of clinical medicine, 2018. 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
–field-weighted citation impact
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.

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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

7 authors.

Radmila KaranFaculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia. karan.radmila@gmail.com.
Suzana CvjeticaninFaculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia. cujasimsi@gmail.com.
Natasa Kovacevic-KosticFaculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia. cipelcici@yahoo.com.
Dejan NikolicFaculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia. denikol27@gmail.com.ORCID 0000-0002-0609-9916
Milos VelinovicFaculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia. velinovicsurg@gmail.com.
Vladimir MilicevicClinic for Cardiac Surgery, Clinical Center of Serbia, 11000 Belgrade, Serbia. vladodrillwork@gmail.com.ORCID 0000-0002-5702-6530
Biljana Obrenovic-KircanskiFaculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia. biljanaok@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of our study was to evaluate the degree of genetic homozygosity in the group of patients with coronary artery disease (CAD), as well as to evaluate morphogenetic variability in CAD patients regarding the presence of investigated risk factors (RF) compared to a control sample of individuals. Additionally, we aimed to evaluate the distribution of ABO blood type frequencies between tested samples of individuals.

methodsThis study analyzed individual phenotype and morphogenetic variability of 17 homozygously-recessive characteristics (HRC), by using HRC test in a sample of 148 individuals in CAD patients group and 156 individuals in the control group. The following RF were analyzed: hypertension, diabetes mellitus, hyperlipidemia, and smoking.

resultsThe mean value of HRC in CAD patients is significantly higher, while variability decreases compared to the control sample (CAD patients: 4.24 ± 1.59, control sample: 3.75 ± 1.69; V

conclusionThere is a higher degree of recessive homozygosity in CAD patients versus individuals in the control sample, and the presence of significant variations in the degree of recessive homozygosity as the number of tested RF increases.

Indexed as

blood groupscoronary artery diseasehomozygously-recessive characteristicsrisk factorsvariability

Identifiers

PMID30142875
PMCPMC6162867

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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.