Evidence map›Paper›PMID 34155632›Full record

SynthesisClinical genetics2021

How to deal with uncertainty in prenatal genomics: A systematic review of guidelines and policies.

Jasmijn E Klapwijk, Malgorzata I Srebniak, Attie T J I Go, Lutgarde C P Govaerts, Celine Lewis, Jennifer Hammond, Melissa Hill, Stina Lou, Ida Vogel, Kelly E Ormond and 3 more

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Clinical genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

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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

13 authors at 5 institutions in 4 countries.

Jasmijn E KlapwijkDepartment of Clinical Genetics, Erasmus MC, Rotterdam, The Netherlands.ORCID 0000-0002-6775-6561
Malgorzata I SrebniakDepartment of Clinical Genetics, Erasmus MC, Rotterdam, The Netherlands.ORCID 0000-0003-3429-6156
Attie T J I GoDepartment of Obstetrics and Fetal Medicine, Erasmus MC, Rotterdam, The Netherlands.
Lutgarde C P GovaertsDepartment of Clinical Genetics, Erasmus MC, Rotterdam, The Netherlands.
Celine LewisNorth Thames Genomic Laboratory Hub, Great Ormond Street Hospital, London, UK.ORCID 0000-0001-7169-1521
Jennifer HammondNorth Thames Genomic Laboratory Hub, Great Ormond Street Hospital, London, UK.ORCID 0000-0002-2637-5818
Melissa HillNorth Thames Genomic Laboratory Hub, Great Ormond Street Hospital, London, UK.ORCID 0000-0003-3900-1425
Stina LouCenter for Fetal Diagnostics, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0001-6177-5780
Ida VogelCenter for Fetal Diagnostics, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0002-1125-0393
Kelly E OrmondDepartment of Genetics and Stanford Center for Biomedical Ethics, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0002-1033-0818
Karin E M DiderichDepartment of Clinical Genetics, Erasmus MC, Rotterdam, The Netherlands.
Hennie T BrüggenwirthDepartment of Clinical Genetics, Erasmus MC, Rotterdam, The Netherlands.
Sam R RiedijkDepartment of Clinical Genetics, Erasmus MC, Rotterdam, The Netherlands.ORCID 0000-0003-3400-4969
Erasmus MC · NLGreat Ormond Street Hospital · GBAarhus University · DKAarhus University Hospital · DKStanford Medicine · US

Funding

Wellcome TrustWellcome Trust 211288/Z/18/Z
6 · The paper itself

Abstract

Exome sequencing (ES) enhanced the diagnostic yield of genetic testing, but has also increased the possibility of uncertain findings. Prenatal ES is increasingly being offered after a fetal abnormality is detected through ultrasound. It is important to know how to handle uncertainty in this particularly stressful period. This systematic review aimed to provide a comprehensive overview of guidelines available for addressing uncertainty related to prenatal chromosomal microarray (CMA) and ES. Ten uncertainty types associated with prenatal ES and CMA were identified and defined by an international multidisciplinary team. Medline (all) and Embase were systematically searched. Laboratory scientists, clinical geneticists, psychologists, and a fetal medicine specialist screened the papers and performed the data extraction. Nineteen papers were included. Recommendations generally emphasized the importance of trio analysis, clinical information, data sharing, validation and re-analysis, protocols, multidisciplinary teams, genetic counselling, whether to limit the possible scope of results, and when to report particular findings. This systematic review helps provide a vocabulary for uncertainties, and a compass to navigate uncertainties. Prenatal CMA and ES guidelines provide a strong starting point for determining how to handle uncertainty. Gaps in guidelines and recommendations were identified and discussed to provide direction for future research and policy making.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseGenomicsPrenatal DiagnosisClinical Decision-MakingDisease ManagementFemaleHealth PolicyHumansPractice Guidelines as TopicPregnancyUncertaintychromosomal microarrayhealth planning guidelineshealth policypractice guidelinesprenatal diagnosisuncertaintywhole exome sequencing

Identifiers

PMID34155632
PMCPMC8596644
OpenAlexW3173872554

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.