Evidence map›Paper›PMID 25754703›Full record

ArticleCMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne2015

Societal preferences for the return of incidental findings from clinical genomic sequencing: a discrete-choice experiment.

Dean A Regier, Stuart J Peacock, Reka Pataky, Kimberly van der Hoek, Gail P Jarvik, Jeffrey Hoch, David Veenstra

Open access · goldAbstract read
In one paragraph

Article in CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 4 pooled it
42.2field-weighted citation impact, top 1% 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

50 citing papers in PubMed, 4 syntheses or guidelines pooled it, 98 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  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

7 authors at 3 institutions in 1 country.

Dean A RegierCanadian Centre for Applied Research in Cancer Control (Regier, Peacock, Pataky, van der Hoek), Cancer Control Research, BC Cancer Agency, Vancouver, BC; School of Population and Public Health (Regier, Peacock, Pataky), University of British Columbia, Vancouver, BC; Department of Medicine (Medical Genetics) (Jarvik), Department of Genome Sciences (Jarvik) and Pharmaceutical Outcomes Research and Policy Program, Department of Pharmacy (Veenstra), University of Washington, Seattle, Wash.; Pharmacoeconomics Research Unit (Hoch), Cancer Care Ontario, Toronto, Ont.; Canadian Centre for Applied Research in Cancer Control (Hoch), Toronto, Ont. dregier@bccrc.ca.
Stuart J PeacockCanadian Centre for Applied Research in Cancer Control (Regier, Peacock, Pataky, van der Hoek), Cancer Control Research, BC Cancer Agency, Vancouver, BC; School of Population and Public Health (Regier, Peacock, Pataky), University of British Columbia, Vancouver, BC; Department of Medicine (Medical Genetics) (Jarvik), Department of Genome Sciences (Jarvik) and Pharmaceutical Outcomes Research and Policy Program, Department of Pharmacy (Veenstra), University of Washington, Seattle, Wash.; Pharmacoeconomics Research Unit (Hoch), Cancer Care Ontario, Toronto, Ont.; Canadian Centre for Applied Research in Cancer Control (Hoch), Toronto, Ont.
Reka PatakyCanadian Centre for Applied Research in Cancer Control (Regier, Peacock, Pataky, van der Hoek), Cancer Control Research, BC Cancer Agency, Vancouver, BC; School of Population and Public Health (Regier, Peacock, Pataky), University of British Columbia, Vancouver, BC; Department of Medicine (Medical Genetics) (Jarvik), Department of Genome Sciences (Jarvik) and Pharmaceutical Outcomes Research and Policy Program, Department of Pharmacy (Veenstra), University of Washington, Seattle, Wash.; Pharmacoeconomics Research Unit (Hoch), Cancer Care Ontario, Toronto, Ont.; Canadian Centre for Applied Research in Cancer Control (Hoch), Toronto, Ont.
Kimberly van der HoekCanadian Centre for Applied Research in Cancer Control (Regier, Peacock, Pataky, van der Hoek), Cancer Control Research, BC Cancer Agency, Vancouver, BC; School of Population and Public Health (Regier, Peacock, Pataky), University of British Columbia, Vancouver, BC; Department of Medicine (Medical Genetics) (Jarvik), Department of Genome Sciences (Jarvik) and Pharmaceutical Outcomes Research and Policy Program, Department of Pharmacy (Veenstra), University of Washington, Seattle, Wash.; Pharmacoeconomics Research Unit (Hoch), Cancer Care Ontario, Toronto, Ont.; Canadian Centre for Applied Research in Cancer Control (Hoch), Toronto, Ont.
Gail P JarvikCanadian Centre for Applied Research in Cancer Control (Regier, Peacock, Pataky, van der Hoek), Cancer Control Research, BC Cancer Agency, Vancouver, BC; School of Population and Public Health (Regier, Peacock, Pataky), University of British Columbia, Vancouver, BC; Department of Medicine (Medical Genetics) (Jarvik), Department of Genome Sciences (Jarvik) and Pharmaceutical Outcomes Research and Policy Program, Department of Pharmacy (Veenstra), University of Washington, Seattle, Wash.; Pharmacoeconomics Research Unit (Hoch), Cancer Care Ontario, Toronto, Ont.; Canadian Centre for Applied Research in Cancer Control (Hoch), Toronto, Ont.
Jeffrey HochCanadian Centre for Applied Research in Cancer Control (Regier, Peacock, Pataky, van der Hoek), Cancer Control Research, BC Cancer Agency, Vancouver, BC; School of Population and Public Health (Regier, Peacock, Pataky), University of British Columbia, Vancouver, BC; Department of Medicine (Medical Genetics) (Jarvik), Department of Genome Sciences (Jarvik) and Pharmaceutical Outcomes Research and Policy Program, Department of Pharmacy (Veenstra), University of Washington, Seattle, Wash.; Pharmacoeconomics Research Unit (Hoch), Cancer Care Ontario, Toronto, Ont.; Canadian Centre for Applied Research in Cancer Control (Hoch), Toronto, Ont.
David VeenstraCanadian Centre for Applied Research in Cancer Control (Regier, Peacock, Pataky, van der Hoek), Cancer Control Research, BC Cancer Agency, Vancouver, BC; School of Population and Public Health (Regier, Peacock, Pataky), University of British Columbia, Vancouver, BC; Department of Medicine (Medical Genetics) (Jarvik), Department of Genome Sciences (Jarvik) and Pharmaceutical Outcomes Research and Policy Program, Department of Pharmacy (Veenstra), University of Washington, Seattle, Wash.; Pharmacoeconomics Research Unit (Hoch), Cancer Care Ontario, Toronto, Ont.; Canadian Centre for Applied Research in Cancer Control (Hoch), Toronto, Ont.
University of British Columbia · CACanadian Centre for Applied Research in Cancer Control · CABC Cancer Agency · CA

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

backgroundAn important challenge with the application of next-generation sequencing technology is the possibility of uncovering incidental genomic findings. A paucity of evidence on personal utility for incidental findings has hindered clinical guidelines. Our objective was to estimate personal utility for complex information derived from incidental genomic findings.

methodsWe used a discrete-choice experiment to evaluate participants' personal utility for the following attributes: disease penetrance, disease treatability, disease severity, carrier status and cost. Study participants were drawn from the Canadian public. We analyzed the data with a mixed logit model.

resultsIn total, 1200 participants completed our questionnaire (available in English and French). Participants valued receiving information about high-penetrance disorders but expressed disutility for receiving information on low-penetrance disorders. The average willingness to pay was $445 (95% confidence interval [CI] $322-$567) to receive incidental findings in a scenario where clinicians returned information about high-penetrance, medically treatable disorders, but only 66% of participants (95% CI 63%-71%) indicated that they would choose to receive information in that scenario. On average, participants placed an important value ($725, 95% CI $600-$850) on having a choice about what type of findings they would receive, including receipt of information about high-penetrance, treatable disorders or receipt of information about high-penetrance disorders with or without available treatment. The predicted uptake of that scenario was 76% (95% CI 72%-79%).

interpretationMost participants valued receiving incidental findings, but personal utility depended on the type of finding, and not all participants wanted to receive incidental results, regardless of the potential health implications. These results indicate that to maximize benefit, participant-level preferences should inform the decision about whether to return incidental findings.

Indexed as

Choice BehaviorIncidental FindingsPatient PreferenceAdolescentAdultAgedAged, 80 and overCanadaCross-Sectional StudiesDisclosureFemaleGenetic Predisposition to DiseaseGenetic TestingGenomeHealth Care CostsHeterozygote

Identifiers

PMID25754703
PMCPMC4387060
OpenAlexW2171380954

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.