Evidence map›Paper›PMID 28555287›Full record

ArticleHerz2017

Genetic diagnostics of inherited aortic diseases : Medical strategy analysis.

Y von Kodolitsch, K Kutsche

Abstract read
PubMed Publisher
In one paragraph

Article in Herz, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Idiopathic Aneurysm of the Aortic Arch in an Infant.The Thoracic and cardiovascular surgeon reports · 2022
    Article
  2. Successful endovascular treatment of multiple systemic aneurysms in a patient with vascular Ehlers-Danlos syndrome.Clinical research in cardiology : official journal of the German Cardiac Society · 2020
    Article
  3. 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

2 authors at 1 institution in 1 country.

Y von KodolitschCentre of Cardiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. kodolitsch@uke.de.
K KutscheInstitute of Human Genetics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Universität Hamburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic aortic syndromes (GAS) include Marfan, Loeys-Dietz, vascular Ehlers-Danlos, and Turner syndrome as well as congenital bicuspid aortic valve. The clinical management of these diseases has certain similarities and differences. We employed medical strategy analysis to test the utility of genetic diagnostics in the management of GAS. We chose the standpoint of the cardiologist for our analysis. In the first step, the medical goals in the management of GAS are specified. In the second step, the accuracy of genetic diagnostics for GAS is examined. Finally, conclusions can be drawn about the utility of genetic diagnostics in managing GAS. We found that genetic diagnostics is necessary to exclude GAS, to diagnose GAS, and to specify disease types. Second, combining phenotype with genotype information maximizes the predictability of the course of disease. Third, with genetic diagnostics it is possible to predict the birth of children with causative mutations for GAS and to initiate drug therapy to prevent the onset of aortic dilatation or to slow down its progression to aortic aneurysm. Finally, genetic diagnostics improves prognostic predictions and thereby contributes to a better timing of elective surgery and to a better choice of procedures. The findings of our medical strategy analysis indicate the high utility of genetic diagnostics for managing GAS.

Indexed as

Genetic TestingAortic DiseasesDNA Mutational AnalysisFemaleGenetic Predisposition to DiseaseGenotypeHumansInfant, NewbornMarfan SyndromeMicrofibrilsPhenotypePregnancyPrenatal DiagnosisTransforming Growth Factor betaTransforming Growth Factor betaDiagnostic techniquesGeneticsMarfan syndromeMicrofibrilsTransforming growth factor beta

Identifiers

PMID28555287
OpenAlexW2752570583

What OpenQuestion holds

Textmetadata
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.