Evidence map›Paper›PMID 29502146›Full record

ArticleJournal of genetic counseling2018

Pregnant Genetic Counselors in an Era of Advanced Genomic Tests: What Do the Experts Test Prenatally?

Shiri Shkedi-Rafid, Yael Hashiloni-Dolev

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of genetic counseling, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 2 institutions in 1 country.

Shiri Shkedi-RafidDepartment of Genetics and Metabolic Diseases, Hadassah Hebrew University Medical Center, 91120, Jerusalem, Israel. shirish@hadassah.org.il.ORCID 0000-0002-1359-7622
Yael Hashiloni-DolevSchool of Government and Society, Academic College of Tel Aviv-Yaffo, Tel Aviv-Yaffo, Israel.
Academic College of Tel Aviv-Yafo · ILHadassah Medical Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advanced genomic tests in pregnancy, such as chromosomal microarray analysis (CMA), provide higher detection rates yet often produce probabilistic and uncertain information. This study aimed to understand how the most knowledgeable patients, i.e., pregnant genetic counselors, act in their own pregnancies, thereby gaining insight into the impact of patients' knowledge on the diagnostic process. Seventeen interviews were conducted with Israeli genetic counselors, either pregnant or up to 2 years post-pregnancy. A third of the participants chose not to have CMA while two thirds underwent it despite no detected abnormalities. Although knowledge was the main motivation, counselors varied in the desired degree of information. Two thirds of those opting for CMA wished to have all findings identified whereas roughly one third asked for a targeted platform seeking to avoid uncertain results. Counselors were not quick to adopt new tests such as whole-exome sequencing. Being knowledgeable was described as promoting a sense of control yet also being a source of stress and moral dilemmas. While the basic premise of informed consent is crucial, it does not always make things easier for educated patients. Consequently, raising levels of patient knowledge is only a limited step forward in the search for best practice.

Indexed as

Genetic CounselingGenome, HumanAmniocentesisExome SequencingFemaleHumansKaryotypingMicroarray AnalysisPregnancyAdvaced-genomic-testsChromosomal-microarray-analysis (CMA)Genetic counselorsKnowledgePregnancy

Identifiers

PMID29502146
OpenAlexW2790003278

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.