Evidence map›Paper›PMID 25304619›Full record

ArticleJournal of genetic counseling2015

Family communication in a population at risk for hypertrophic cardiomyopathy.

Brittany Batte, Jane P Sheldon, Patricia Arscott, Darcy J Huismann, Lisa Salberg, Sharlene M Day, Beverly M Yashar

Abstract read
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In one paragraph

Article in Journal of genetic counseling, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Family genetic risk communication and reverse cascade testing in the BabySeq project.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
    Article
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  16. Patients' Choices for Return of Exome Sequencing Results to Relatives in the Event of Their Death.The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2015
    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

7 authors.

Brittany BatteDepartment of Human Genetics, University of Michigan, Ann Arbor, MI, USA, battebr@gmail.com.
Jane P Sheldon
Patricia Arscott
Darcy J Huismann
Lisa Salberg
Sharlene M Day
Beverly M Yashar

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Encouraging family communication is an integral component of genetic counseling; therefore, we sought to identify factors impacting communication to family members at risk for Hypertrophic Cardiomyopathy (HCM). Participants (N = 383) completed an online survey assessing: 1) demographics (gender, genetic test results, HCM family history, and disease severity); 2) illness representations; 3) family functioning and cohesiveness; 4) coping styles; 5) comprehension of HCM autosomal dominant inheritance; and 6) communication of HCM risk information to at-risk relatives. Participants were a national sample of individuals with HCM, recruited through the Hypertrophic Cardiomyopathy Association. Data from 183 participants were analyzed using a logistic regression analysis, with family communication as a dichotomous dependent variable. We found that female gender and higher comprehension of autosomal dominant inheritance were significant predictors of participants' communication of HCM risk information to all their siblings and children. Our results suggest that utilizing interventions that promote patient comprehension (e.g., a teaching-focused model of genetic counseling) are important and may positively impact family communication within families with HCM.

Indexed as

Interpersonal RelationsAdolescentAdultCardiomyopathy, HypertrophicCommunicationFamilyFemaleGenetic CounselingHumansMaleMiddle AgedYoung Adult

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.