Evidence map›Paper›PMID 33061067›Full record

ArticleIndian journal of thoracic and cardiovascular surgery2019

Human aortic aneurysm genomic dictionary: is it possible?

Adam Joseph Brownstein, Bulat Ayratovich Ziganshin, John Alex Elefteriades

Abstract read
In one paragraph

Article in Indian journal of thoracic and cardiovascular surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Genetic screening in heritable thoracic aortic disease-rationale, potentials and pitfalls.Indian journal of thoracic and cardiovascular surgery · 2022
    Article
  4. Review
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

3 authors.

Adam Joseph BrownsteinAortic Institute at Yale-New Haven Hospital, Yale University School of Medicine, 789 Howard Avenue, Clinic Building-CB317, New Haven, CT 06519 USA.
Bulat Ayratovich ZiganshinAortic Institute at Yale-New Haven Hospital, Yale University School of Medicine, 789 Howard Avenue, Clinic Building-CB317, New Haven, CT 06519 USA.
John Alex ElefteriadesAortic Institute at Yale-New Haven Hospital, Yale University School of Medicine, 789 Howard Avenue, Clinic Building-CB317, New Haven, CT 06519 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thoracic aortic aneurysm (TAA), a typically silent but frequently lethal disease, is strongly influenced by underlying genetics. Approximately 30 genes have been associated with syndromic and non-syndromic familial thoracic aortic aneurysm and dissection (TAAD) to date. An estimated 30% of patients with non-syndromic familial TAAD, which is typically inherited in an autosomal dominant manner, have a mutation in one of these genes. The underlying genetic mutation helps predict patients' clinical presentation, risk of aortic dissection at small aortic sizes (< 5.0 cm), and risk of other cardiovascular disease. As a result, a TAAD genomic dictionary based on these genes is necessary to provide optimal patient care, but is not on its own sufficient as this disease is typically inherited with reduced penetrance and has widely variable expressivity. Next-generation sequencing has been and will continue to be critical for identifying novel genes and variants associated with TAAD as well as genotype-phenotype correlations that will allow for management to be targeted to not only the underlying gene harboring the pathogenic variant but also the specific mutation identified. The aortic dictionary, to which a clinician can turn to obtain information on clinical consequences of a specific genetic variants, is not only possible, but has been substantially written already. As additional entries to the dictionary are made, truly personalized, genetically based, aneurysm care can be delivered.

Indexed as

Aortic aneurysmAortic dissectionGenetics

Identifiers

PMID33061067
PMCPMC7525885

What OpenQuestion holds

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Registered trials

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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.