Evidence map›Paper›PMID 33329752›Full record

ArticleFrontiers in genetics2020

Dina Mukushkina, Dana Aisina, Anna Pyrkova, Alma Ryskulova, Siegfried Labeit, Anatoliy Ivashchenko

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

13 citing papers in PubMed, 16 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

6 authors at 3 institutions in 2 countries.

Dina MukushkinaDepartment of Biotechnology, Al-Farabi Kazakh National University, Almaty, Kazakhstan.
Dana AisinaDepartment of Biotechnology, Al-Farabi Kazakh National University, Almaty, Kazakhstan.
Anna PyrkovaDepartment of Biotechnology, Al-Farabi Kazakh National University, Almaty, Kazakhstan.
Alma RyskulovaDepartment of microbiology, Kazakh Medical University of Continuing Education, Almaty, Kazakhstan.
Siegfried LabeitMedical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany.
Anatoliy IvashchenkoDepartment of Biotechnology, Al-Farabi Kazakh National University, Almaty, Kazakhstan.
Al-Farabi Kazakh National University · KZKazakhstan Medical University · KZUniversity Hospital Heidelberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The involvement of genes and miRNAs in the development of atherosclerosis is a challenging problem discussed in recent publications. It is necessary to establish which miRNAs affect the expression of candidate genes. We used known candidate atherosclerosis genes to predict associations. The quantitative characteristics of interactions of miRNAs with mRNA candidate genes were determined using the program, which identifies the localization of miRNA binding sites in mRNA, the free energy interaction of miRNA with mRNA. In mRNAs of

Indexed as

associationatherosclerosisbinding sites clustergenemarkermiRNAmRNA

Identifiers

PMID33329752
PMCPMC7672156
OpenAlexW3097475902

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.