Evidence map›Paper›PMID 28116311›Full record

ReviewBioMed research international2017

Genetic and Epigenetic Regulation of Aortic Aneurysms.

Ha Won Kim, Brian K Stansfield

Open access · hybridAbstract readReview
In one paragraph

Review in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
8.6field-weighted citation impact, top 2% 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

39 citing papers in PubMed, 81 citations in OpenAlex.

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  8. Innovation in pathogenesis and management of aortic aneurysm.World journal of experimental medicine · 2024
    Review
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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

2 authors at 2 institutions in 1 country.

Ha Won KimVascular Biology Center, Augusta University, Augusta, GA, USA.
Brian K StansfieldVascular Biology Center, Augusta University, Augusta, GA, USA; Department of Pediatrics, Medical College of Georgia, Augusta University, Augusta, GA, USA.ORCID 0000-0002-1105-8895
Augusta University · USAugusta University Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aneurysms are characterized by structural deterioration of the vascular wall leading to progressive dilatation and, potentially, rupture of the aorta. While aortic aneurysms often remain clinically silent, the morbidity and mortality associated with aneurysm expansion and rupture are considerable. Over 13,000 deaths annually in the United States are attributable to aortic aneurysm rupture with less than 1 in 3 persons with aortic aneurysm rupture surviving to surgical intervention. Environmental and epidemiologic risk factors including smoking, male gender, hypertension, older age, dyslipidemia, atherosclerosis, and family history are highly associated with abdominal aortic aneurysms, while heritable genetic mutations are commonly associated with aneurysms of the thoracic aorta. Similar to other forms of cardiovascular disease, family history, genetic variation, and heritable mutations modify the risk of aortic aneurysm formation and provide mechanistic insight into the pathogenesis of human aortic aneurysms. This review will examine the relationship between heritable genetic and epigenetic influences on thoracic and abdominal aortic aneurysm formation and rupture.

Indexed as

Epigenesis, GeneticAgedAgingAorta, ThoracicAortic Aneurysm, AbdominalAortic Aneurysm, ThoracicAortic RuptureDisease ProgressionExtracellular MatrixFemaleGenetic Predisposition to DiseaseHumansInflammationLipidsMaleMarfan SyndromeLipidsTransforming Growth Factor beta

Identifiers

PMID28116311
PMCPMC5237727
OpenAlexW2567210078

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.