Evidence map›Paper›PMID 41595504›Full record

ArticleGenes2026

Association of Gene Polymorphism at Atrial Fibrillation in the Kazakh Population: Case-Control Study.

Dana Taizhanova, Nazira Bazarova, Akerke Kalimbetova, Roza Bodaubay, Elena Zholdybayeva, Chingis Abylkanov

Abstract read
In one paragraph

Article in Genes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Dana TaizhanovaDepartment of Internal Diseases, Karaganda Medical University, 40 Gogolya Street, Karaganda 100000, Kazakhstan.ORCID 0000-0001-6971-8764
Nazira BazarovaAdministration Department, Regional Clinical Hospital of the Karaganda Region Health Department, 41 Yerubayev Street, Karaganda 100000, Kazakhstan.ORCID 0000-0003-4777-4620
Akerke KalimbetovaHeart Rhythm Research Institute, Astana Medical University, 49A Beibitshilik Street, Astana 010000, Kazakhstan.ORCID 0000-0003-1550-5469
Roza BodaubayDepartment of Internal Diseases, Karaganda Medical University, 40 Gogolya Street, Karaganda 100000, Kazakhstan.ORCID 0000-0001-5278-5477
Elena ZholdybayevaNational Scientific Shared Laboratory of Biotechnology, National Center for Biotechnology, 13/5, Kurgalzhynskoye Road, Astana 010000, Kazakhstan.ORCID 0000-0002-9677-008X
Chingis AbylkanovCardiology Department, Regional Clinical Hospital of the Karaganda Region Health Department, 41 Yerubayev Street, Karaganda 100000, Kazakhstan.ORCID 0009-0009-9145-596X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesAtrial fibrillation (AF) is the most common sustained cardiac arrhythmia and represents a major public health problem. Genetic factors contribute to AF susceptibility, including variants associated with atrial remodeling.

methodsThis case-control study investigated the

resultsThe frequency of the rare G allele (AG + GG genotypes) was higher in patients with AF compared with conditionally healthy controls; however, this difference did not reach statistical significance (OR 1.357; 95% CI 0.845-2.178).

conclusionsThe observed differences represent a non-significant trend and do not demonstrate a statistically confirmed association between the

Indexed as

Atrial FibrillationGenetic Predisposition to DiseaseHomeodomain ProteinsPolymorphism, Single NucleotideAgedAllelesCase-Control StudiesCentral Asian PeopleFemaleGene FrequencyGenetic Association StudiesGenotypeHumansKazakhstanMaleMiddle AgedHomeodomain ProteinsPRRX1 protein, humanatrial fibrillationcase—control studygene polymorphismKazakh populationPRRX1 geners3903239

Identifiers

PMID41595504
PMCPMC12841343

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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.