Evidence map›Paper›PMID 22822470›Full record

ArticleAJOB primary research2012

Reproductive Decision Making and Genetic Predisposition to Sudden Cardiac Death.

Dorit Barlevy, David Wasserman, Marina Stolerman, Kathleen E Erskine, Siobhan M Dolan

Open access · greenAbstract read
In one paragraph

Article in AJOB primary research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

5 authors at 2 institutions in 1 country.

Dorit BarlevyYeshiva University.
David Wasserman
Marina Stolerman
Kathleen E Erskine
Siobhan M Dolan
Albert Einstein College of Medicine · USYeshiva University · US

Funding

ETHICAL & SOCIAL IMPLICATIONS OF GENETIC TESTING IN THE CASE OF UNEXPECTED DEATHSRC1HL100756 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI DOLAN, SIOBHAN M · 2009 to 2010
$919k
NHLBI NIH HHS RC1 HL100756
6 · The paper itself

Abstract

backgroundWith current genetic technology, it is possible to detect mutations associated with long QT syndrome (LQTS), a hereditary cardiac arrhythmia syndrome. As a result, prospective parents diagnosed with LQTS will have to decide whether or not to prevent its transmission to future generations, either by not procreating or through the use of assisted reproductive technologies or prenatal testing. This paper explores how a hereditary predisposition to sudden cardiac death can influence reproductive decision making.

methodsThis study draws from interviews and focus groups with individuals who have personal or family histories of cardiac arrhythmia or sudden death. A keyword search was conducted on interview transcripts to identify quotes for analysis.

resultsParticipants expressed complex, often ambivalent attitudes about the prospect of having a child with a predisposition to sudden cardiac death. Their comments reveal conflicting understandings of genetic responsibility and reflect the variable effects of personal experience on reproductive decision making. This paper compares attitudes towards LQTS and other genetic conditions in analyzing the themes that emerged in interviews and focus groups.

conclusionsThe "disability critique" of prenatal testing should be applied carefully to a context of genetic predisposition to sudden cardiac death in order to understand reproductive decision making. Firsthand experience with the condition, among other factors, can weigh heavily in those decisions.

Identifiers

PMID22822470
PMCPMC3400258
OpenAlexW1987560364

What OpenQuestion holds

Textmetadata
LicenceTDM
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.