Evidence map›Paper›PMID 29410473›Full record

ArticleEuropean journal of human genetics : EJHG2018

Offering pregnant women different levels of genetic information from prenatal chromosome microarray: a prospective study.

Jane L Halliday, Cecile Muller, Taryn Charles, Fiona Norris, Joanne Kennedy, Sharon Lewis, Bettina Meiser, Susan Donath, Zornitza Stark, George McGillivray and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
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  8. Review
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  11. Exome sequencing in newborns with congenital deafness as a model for genomic newborn screening: the Baby Beyond Hearing project.Genetics in medicine : official journal of the American College of Medical Genetics · 2020
    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

16 authors at 6 institutions in 2 countries.

Jane L HallidayMurdoch Children's Research Institute, Melbourne, VIC, Australia. janehalliday.h@mcri.edu.au.
Cecile MullerMurdoch Children's Research Institute, Melbourne, VIC, Australia.
Taryn CharlesMurdoch Children's Research Institute, Melbourne, VIC, Australia.
Fiona NorrisVictorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, VIC, Australia.
Joanne KennedyMurdoch Children's Research Institute, Melbourne, VIC, Australia.
Sharon LewisMurdoch Children's Research Institute, Melbourne, VIC, Australia.
Bettina MeiserPrince of Wales Clinical School, UNSW Sydney, Sydney, NSW, Australia.
Susan DonathMurdoch Children's Research Institute, Melbourne, VIC, Australia.
Zornitza StarkVictorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, VIC, Australia.
George McGillivrayMurdoch Children's Research Institute, Melbourne, VIC, Australia.
Melody MenezesMurdoch Children's Research Institute, Melbourne, VIC, Australia.
Sian K SmithPrince of Wales Clinical School, UNSW Sydney, Sydney, NSW, Australia.
Della ForsterJudith Lumley Centre, La Trobe University, Melbourne, VIC, Australia.
Susan WalkerDepartment of Obstetrics and Gynaecology, University of Melbourne, Melbourne, VIC, Australia.
Mark PertileVictorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, VIC, Australia.
David J AmorMurdoch Children's Research Institute, Melbourne, VIC, Australia.
Murdoch Children's Research Institute · AUUniversity of Melbourne · AUUNSW Sydney · AULa Trobe University · AURoyal Women's Hospital · AUVictorian Clinical Genetics Services · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to examine the choice pregnant women make about the amount of fetal genetic information they want from chromosome microarray. Women having invasive prenatal testing in the absence of fetal structural abnormality were recruited in Victoria, Australia. A decision aid for women described 'targeted' analysis as reporting only copy number variants implicated in a highly penetrant and well-described phenotype and 'extended' as additionally reporting variants of uncertain or unknown significance. Participant's choice and demographics were collected by survey before chorionic villus sampling or amniocentesis; psychological data were also collected then and again about 10 days after receiving results. High-resolution single-nucleotide polymorphism array analysis was performed, and a clinical review committee assessed variants for reporting before returning results to participants. Sixty-six participants (59.5%) chose extended analysis and 45 (40.5%) targeted. Choosing extended information was associated with (1) indication for prenatal diagnosis: maternal age alone (adjusted odds ratio (adjOR) 9.6, 95% confidence interval (CI): 1.4-66.0, p= 0.02), or 'other' indication (adjOR 7.1, 95% CI: 1.5-33.1, p= 0.01)); (2) >12 months to conceive (adjOR 4.1, 95% CI: 1.0-17.7, p= 0.05); and (3) Asian background (adjOR 4.67, 95% CI: 1.0-21.0, p= 0.04). No adverse psychological impact occurred in either group. We conclude that offering pregnant women different levels of fetal genetic analysis is warranted, alongside decision support.

Indexed as

Choice BehaviorHealth Knowledge, Attitudes, PracticeAdultChromosome DisordersFemaleGenetic TestingHumansMalePregnancyPrenatal Diagnosis

Identifiers

PMID29410473
PMCPMC5891486
OpenAlexW2793728741

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.