Evidence map›Paper›PMID 28224467›Full record

ReviewCurrent cardiology reports2017

Appropriate Use of Genetic Testing in Congenital Heart Disease Patients.

Seiji Ito, Kimberly A Chapman, Monisha Kisling, Anitha S John

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current cardiology reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Genetic Basis of Human Congenital Heart Disease.Cold Spring Harbor perspectives in biology · 2020
    Article
  4. The genetics of isolated congenital heart disease.American journal of medical genetics. Part C, Seminars in medical genetics · 2020
    Review
  5. Article
  6. Pregnancy in Women with Congenital Heart Disease.Current treatment options in cardiovascular medicine · 2017
    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

4 authors.

Seiji ItoDivision of Pediatric Cardiology, Children's National Health System, 111 Michigan Ave, N.W., Washington, DC, 20010, USA.
Kimberly A ChapmanDivision of Genetics and Metabolism, Children's National Health System, 111 Michigan Ave NW, Washington, DC, 20010, USA.
Monisha KislingDivision of Genetics and Metabolism, Children's National Health System, 111 Michigan Ave NW, Washington, DC, 20010, USA.
Anitha S JohnDivision of Pediatric Cardiology, Children's National Health System, 111 Michigan Ave, N.W., Washington, DC, 20010, USA. anjohn@childrensnational.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewCongenital heart disease (CHD) remains the most common birth defect, occurring in 1% of all births. Although the exact etiology of CHD is still largely unknown, it is thought to be an interaction of genetic and non-genetic factors. The purposes of this review are to summarize recent advances in CHD genetics and testing and to present a suggested algorithm for appropriate use of genetic testing in patients with CHD. RECENT

findingsAdvances in genetic testing technology are rapidly expanding the options for screening and are providing further insights into the genetic and molecular background of non-syndromic CHD. As the field advances, the role of the geneticist and genetic counselor will continue to expand as the testing becomes more complex and interpretation of results becomes increasingly challenging. Coordination of practice between cardiologists and geneticists using a shared clinical structure is essential and will help improve cost utilization and facilitate individualized patient care.

Indexed as

Genetic TestingAlgorithmsHeart Defects, CongenitalHumansPrecision MedicineCongenital heart diseaseGenetic counselingGenetic testing

Identifiers

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.