Evidence map›Paper›PMID 32523550›Full record

ArticleFrontiers in physiology2020

Inflammatory Drivers of Cardiovascular Disease: Molecular Characterization of Senescent Coronary Vascular Smooth Muscle Cells.

Stevan D Stojanović, Maximilian Fuchs, Meik Kunz, Ke Xiao, Annette Just, Andreas Pich, Johann Bauersachs, Jan Fiedler, Daniel Sedding, Thomas Thum

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

32 citing papers in PubMed, 45 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

10 authors at 3 institutions in 1 country.

Stevan D StojanovićInstitute of Molecular and Translational Therapeutic Strategies, Hannover Medical School, Hanover, Germany.
Maximilian FuchsChair of Medical Informatics, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen, Germany.
Meik KunzChair of Medical Informatics, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen, Germany.
Ke XiaoInstitute of Molecular and Translational Therapeutic Strategies, Hannover Medical School, Hanover, Germany.
Annette JustInstitute of Molecular and Translational Therapeutic Strategies, Hannover Medical School, Hanover, Germany.
Andreas PichInstitute of Toxicology and Core Unit Proteomics, Hannover Medical School, Hanover, Germany.
Johann BauersachsDepartment of Cardiology and Angiology, Hannover Medical School, Hanover, Germany.
Jan FiedlerInstitute of Molecular and Translational Therapeutic Strategies, Hannover Medical School, Hanover, Germany.
Daniel SeddingDepartment of Internal Medicine III, Cardiology, Angiology and Intensive Care Medicine Martin-Luther-University Halle (Saale), Halle (Saale), Germany.
Thomas ThumInstitute of Molecular and Translational Therapeutic Strategies, Hannover Medical School, Hanover, Germany.
Medizinische Hochschule Hannover · DEFriedrich-Alexander-Universität Erlangen-Nürnberg · DEMartin Luther University Halle-Wittenberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The senescence of vascular smooth muscle cells (VSMCs) has been implicated as a causal pro-inflammatory mechanism for cardiovascular disease development and progression of atherosclerosis, the instigator of ischemic heart disease. Contemporary limitations related to studying this cellular population and senescence-related therapeutics are caused by a lack of specific markers enabling their detection. Therefore, we aimed to profile a phenotypical and molecular signature of senescent VSMCs to allow reliable identification. To achieve this goal, we have compared non-senescent and senescent VSMCs from two

Indexed as

agingcardiovascularinflammationsenescencesmooth muscle cell

Identifiers

PMID32523550
PMCPMC7261939
OpenAlexW3030080079

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.