Evidence map›Paper›PMID 23722871›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2013

Return of incidental findings in genomic medicine: measuring what patients value--development of an instrument to measure preferences for information from next-generation testing (IMPRINT).

Caroline Savage Bennette, Susan Brown Trinidad, Stephanie M Fullerton, Donald Patrick, Laura Amendola, Wylie Burke, Fuki M Hisama, Gail P Jarvik, Dean A Regier, David L Veenstra

Abstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 4 pooled it
–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

51 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Preferences for Genetic Testing to Predict the Risk of Developing Hereditary Cancer: A Systematic Review of Discrete Choice Experiments.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
    Pooled it
  5. Trial
  6. Trial
  7. Enhancing Autonomy in Biobank Decisions: Too Much of a Good Thing?Journal of empirical research on human research ethics : JERHRE · 2018
    Trial
  8. Trial
  9. Article
  10. All of Us participant perspectives on the return of value in research.Genetics in medicine : official journal of the American College of Medical Genetics · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

10 authors.

Caroline Savage BennetteDepartment of Pharmacy, Pharmaceutical Outcomes Research and Policy Program, University of Washington, Seattle, Washington, USA.
Susan Brown Trinidad
Stephanie M Fullerton
Donald Patrick
Laura Amendola
Wylie Burke
Fuki M Hisama
Gail P Jarvik
Dean A Regier
David L Veenstra

Funding

Clinical sequencing in cancer: Clinical ethical and technological studiesU01HG006507 · NHGRI · UNIVERSITY OF WASHINGTON · PI JARVIK, GAIL PAIRITZ · 2012 to 2016
$10.6M
NHGRI NIH HHS U01 HG0006507-01NHGRI NIH HHS U01 HG006507
6 · The paper itself

Abstract

purposeLittle is known about the factors that influence patients' preferences for the return of incidental findings from genome sequencing. This study identified attributes of incidental findings that were important to patients and developed a discrete-choice experiment instrument to quantify patient preferences.

methodsAn initial set of key attributes and attribute levels was developed from a literature review and in consultation with experts. The attributes' salience and communication were refined using focus group methodology (n = 12) and cognitive interviews (n = 6) with patients who had received conventional genetic testing for familial colorectal cancer or polyposis syndromes. The attributes and levels used in the hypothetical choices presented to participants were identified using validated experimental design techniques.

resultsThe final discrete-choice experiment instrument incorporates the following attributes and levels: lifetime risk of disease (5, 40, 70%); disease treatability (medical, lifestyle, none); disease severity (mild, moderate, severe); carrier status (yes, no); drug response likelihood (high, moderate, none); and test cost ($250, $425, $1,000, $1,900).

conclusionPatient preferences for incidental genomic findings are likely influenced by a complex set of diverse attributes. Quantification of patient preferences can inform patient-provider communication by highlighting the attributes of incidental findings that matter most to patients and warrant further discussion.

Indexed as

Genetic TestingIncidental FindingsPatient PreferenceSequence Analysis, DNAAdultAgedChoice BehaviorColorectal NeoplasmsCommunicationFemaleGenetics, MedicalGenomicsHumansMaleMiddle AgedSurveys and Questionnaires

Identifiers

PMID23722871
PMCPMC3823641

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.