Evidence map›Paper›PMID 31281738›Full record

ReviewCurrent genetic medicine reports2019

Consent and Autonomy in the Genomics Era.

Rachel Horton, Anneke Lucassen

Abstract readReview
In one paragraph

Review in Current genetic medicine reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Review
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  7. Ambivalence in genomic healthcare provision, cure or symptom?European journal of human genetics : EJHG · 2023
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Ethical Considerations in Research with Genomic Data.The New bioethics : a multidisciplinary journal of biotechnology and the body · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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.

Rachel HortonClinical Ethics and Law at Southampton (CELS), Faculty of Medicine, University of Southampton, Centre for Cancer Immunology, Southampton General Hospital, Southampton, SO16 6YD UK.
Anneke LucassenClinical Ethics and Law at Southampton (CELS), Faculty of Medicine, University of Southampton, Centre for Cancer Immunology, Southampton General Hospital, Southampton, SO16 6YD UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

purpose of reviewGenomic tests offer increased opportunity for diagnosis, but their outputs are often uncertain and complex; results may need to be revised and/or may not be relevant until some future time. We discuss the challenges that this presents for consent and autonomy. RECENT

findingsPopular discourse around genomic testing tends to be strongly deterministic and optimistic, yet many findings from genomic tests are uncertain or unclear. Clinical conversations need to anticipate and potentially challenge unrealistic expectations of what a genomic test can deliver in order to enhance autonomy and ensure that consent to genomic testing is valid. SUMMARY: We conclude that 'fully informed' consent is often not possible in the context of genomic testing, but that an open-ended approach is appropriate. We consider that such broad consent can only work if located within systems or organisations that are trustworthy and that have measures in place to ensure that such open-ended agreements are not abused. We suggest that a relational concept of autonomy has benefits in encouraging focus on the networks and relationships that allow decision making to flourish.

Indexed as

AutonomyBroad consentConsentEthicsGenomicsRelational autonomy

Identifiers

PMID31281738
PMCPMC6584705

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.