Evidence map›Paper›PMID 26981213›Full record

ReviewWorld journal of cardiology2016

Genetic testing in congenital heart disease: A clinical approach.

Marie A Chaix, Gregor Andelfinger, Paul Khairy

Open access · greenAbstract readReview
In one paragraph

Review in World journal of cardiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

29 citing papers in PubMed, 75 citations in OpenAlex.

  1. Article
  2. Article
  3. The Use of Next-Generation Sequencing in Personalized Medicine.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  4. Genomic testing and molecular diagnosis among infants with congenital heart disease in the neonatal intensive care unit.Journal of perinatology : official journal of the California Perinatal Association · 2024
    Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Association ofBalkan journal of medical genetics : BJMG · 2021
    Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article
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 at 1 institution in 1 country.

Marie A ChaixMarie A Chaix, Paul Khairy, Montreal Heart Institute Adult Congenital Center, Université de Montréal, Montreal, Quebec H1T 1C8, Canada.
Gregor AndelfingerMarie A Chaix, Paul Khairy, Montreal Heart Institute Adult Congenital Center, Université de Montréal, Montreal, Quebec H1T 1C8, Canada.
Paul KhairyMarie A Chaix, Paul Khairy, Montreal Heart Institute Adult Congenital Center, Université de Montréal, Montreal, Quebec H1T 1C8, Canada.
Montreal Heart Institute · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Congenital heart disease (CHD) is the most common type of birth defect. Traditionally, a polygenic model defined by the interaction of multiple genes and environmental factors was hypothesized to account for different forms of CHD. It is now understood that the contribution of genetics to CHD extends beyond a single unified paradigm. For example, monogenic models and chromosomal abnormalities have been associated with various syndromic and non-syndromic forms of CHD. In such instances, genetic investigation and testing may potentially play an important role in clinical care. A family tree with a detailed phenotypic description serves as the initial screening tool to identify potentially inherited defects and to guide further genetic investigation. The selection of a genetic test is contingent upon the particular diagnostic hypothesis generated by clinical examination. Genetic investigation in CHD may carry the potential to improve prognosis by yielding valuable information with regards to personalized medical care, confidence in the clinical diagnosis, and/or targeted patient follow-up. Moreover, genetic assessment may serve as a tool to predict recurrence risk, define the pattern of inheritance within a family, and evaluate the need for further family screening. In some circumstances, prenatal or preimplantation genetic screening could identify fetuses or embryos at high risk for CHD. Although genetics may appear to constitute a highly specialized sector of cardiology, basic knowledge regarding inheritance patterns, recurrence risks, and available screening and diagnostic tools, including their strengths and limitations, could assist the treating physician in providing sound counsel.

Indexed as

Congenital heart diseaseGeneticsGenetic screeningGenetic testing

Identifiers

PMID26981213
PMCPMC4766268
OpenAlexW2339213657

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.