Evidence map›Paper›PMID 29780714›Full record

ReviewJournal of visualized surgery2018

How can genetic diagnosis inform the decision of when to operate?

Maral Ouzounian, Scott A LeMaire

Abstract readReview
In one paragraph

Review in Journal of visualized surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. 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.

Maral OuzounianDivision of Cardiovascular Surgery, Peter Munk Cardiac Centre, Toronto General Hospital, Toronto, Canada.
Scott A LeMaireDivision of Cardiothoracic Surgery, Michael E. DeBakey Department of Surgery, and the Cardiovascular Research Institute, Baylor College of Medicine, Houston, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic discovery for heritable thoracic aortic disease (HTAD) has been progressing at a brisk pace. Surgical management of thoracic aortic aneurysms and dissections has become more personalized, with genetic factors increasingly informing the decision of when to operate on patients. An improved understanding of genotype-phenotype correlations in patients with HTAD will ultimately lead to gene- and mutation-specific recommendations for surgical repair. Until more robust data from larger cohorts can inform our decisions, patients with HTAD should be seen by an aortic specialist for a tailored approach to elective surgical repair.

Indexed as

aortic dissectiongeneticssurgeryThoracic aortic aneurysm

Identifiers

PMID29780714
PMCPMC5945784

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.