Evidence map›Paper›PMID 19949785›Full record

ArticlePediatric cardiology2010

Parental knowledge and attitudes toward hypertrophic cardiomyopathy genetic testing.

Sara M Fitzgerald-Butt, Lindsey Byrne, Cynthia A Gerhardt, Kathryn Vannatta, Timothy M Hoffman, Kim L McBride

Abstract read
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In one paragraph

Article in Pediatric cardiology, 2010. 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. Article
  4. Article
  5. Article
  6. Impact of Mendelian inheritance in cardiovascular disease.Annals of the New York Academy of Sciences · 2010
    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

6 authors.

Sara M Fitzgerald-ButtCenter for Molecular and Human Genetics, The Research Institute at Nationwide Children's Hospital, Columbus, OH, USA. sara.fitzgerald-butt@nationwidechildrens.org
Lindsey Byrne
Cynthia A Gerhardt
Kathryn Vannatta
Timothy M Hoffman
Kim L McBride

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertrophic cardiomyopathy (HCM) is a common autosomal dominant condition with an increased risk of sudden cardiac death. Although clinical genetic testing can be used for confirmation of a clinical diagnosis as well as a predictive test, based on our clinical experience it is underutilized. Therefore, we developed and administered a questionnaire to assess potential determinants of parental interest in this testing. Of the 30 adult caregivers who participated, 80% had heard of genetic testing, whereas only 30% knew about genetic testing specifically for HCM. Once informed of the availability, 62% said they would consider testing in the future and 28% would consider it in the next year. Participants' younger age, higher education level, knowledge of carrier testing, and positive view of genetic testing were significantly associated with the participant considering HCM genetic testing for their child (p <or= 0.05). Based on a logistic regression model, age, education level, and knowing that HCM is an inherited disease were the best predictors of who would consider genetic testing. This study provides healthcare providers with a framework to understand caregivers' knowledge and views of genetic testing, which can be used to improve clinical care for pediatric HCM patients.

Indexed as

CaregiversGenetic CounselingGenetic TestingHealth Knowledge, Attitudes, PracticeAdolescentAdultCardiomyopathy, Hypertrophic, FamilialChildChild, PreschoolFemaleHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisUnited States

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.