Evidence map›Paper›PMID 27490114›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2017

Is "incidental finding" the best term?: a study of patients' preferences.

Nina Tan, Laura M Amendola, Julianne M O'Daniel, Amber Burt, Martha J Horike-Pyne, Lacey Boshe, Gail E Henderson, Christine Rini, Myra I Roche, Fuki M Hisama and 3 more

Abstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Evaluating the resource implications of different service delivery models for offering additional genomic findings.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Article
  8. Analogies in Genomics Policymaking: Debates and Drawbacks.American journal of human genetics · 2020
    Article
  9. Rethinking the "open future" argument against predictive genetic testing of children.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
  10. Article
  11. Article
  12. Review
  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

13 authors.

Nina TanDepartment of Medicine, University of Washington School of Medicine, Seattle, Washington, USA.ORCID 0000-0001-8513-016X
Laura M AmendolaDivision of Medical Genetics, Department of Medicine, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-5506-6168
Julianne M O'DanielDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0001-5843-4432
Amber BurtDivision of Medical Genetics, Department of Medicine, University of Washington, Seattle, Washington, USA.ORCID 0000-0003-1813-6726
Martha J Horike-PyneDivision of Medical Genetics, Department of Medicine, University of Washington, Seattle, Washington, USA.
Lacey BosheDepartment of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-9848-7499
Gail E HendersonDepartment of Social Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-4968-7064
Christine RiniGillings School of Global Public Health & Department of Health Behavior University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-3169-3626
Myra I RocheDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0001-9680-6006
Fuki M HisamaDivision of Medical Genetics, Department of Medicine, University of Washington, Seattle, Washington, USA.ORCID 0000-0001-7772-7855
Wylie BurkeDepartment of Bioethics and Humanities, University of Washington, Seattle, Washington, USA.ORCID 0000-0003-2914-0560
Benjamin WilfondTrueman Katz Center for Pediatric Bioethics, Seattle Children's Research Institute, Seattle, Washington, USA.ORCID 0000-0002-2671-9860
Gail P JarvikDivision of Medical Genetics, Department of Medicine, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-6710-8708

Funding

North Carolina Clinical Genomic Evaluation by Next-gen Exome Sequencing 2U01HG006487 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BERG, JONATHAN S, POWELL, BRADFORD C. · 2012 to 2021
$22.7M
University of Washington Biomedical Informatics and Data Science Research Training ProgramT15LM007442 · NLM · UNIVERSITY OF WASHINGTON · PI JOHN H. GENNARI, Andrea L. Hartzler · 2002 to 2026
$19.6M
Exome sequencing in Diverse Populations in Colorado & OregonU01HG007292 · NHGRI · KAISER FOUNDATION RESEARCH INSTITUTE · PI LEO, MICHAEL C, WILFOND, BENJAMIN SIMON · 2017 to 2021
$15.7M
Variation, Function, and Disease Supplement ProgramU01HG008657 · NHGRI · UNIVERSITY OF WASHINGTON · PI David Russell Crosslin, Gail Pairitz Jarvik · 2015 to 2026
$13.4M
Clinical sequencing in cancer: Clinical ethical and technological studiesU01HG006507 · NHGRI · UNIVERSITY OF WASHINGTON · PI JARVIK, GAIL PAIRITZ · 2012 to 2016
$10.6M
Clinical Implementation of Carrier Testing using NGSUM1HG007292 · NHGRI · KAISER FOUNDATION RESEARCH INSTITUTE · PI GODDARD, KATRINA A., WILFOND, BENJAMIN SIMON · 2013 to 2016
$8.2M
CSER RoRC Centralized Support Coordinating CenterU01HG007307 · NHGRI · UNIVERSITY OF WASHINGTON · PI BURKE, WYLIE G., JARVIK, GAIL PAIRITZ · 2013 to 2016
$3.6M
NHGRI NIH HHS U01 HG006487NHGRI NIH HHS U01 HG006507NHGRI NIH HHS U01 HG007292NHGRI NIH HHS U01 HG007307NHGRI NIH HHS U01 HG008657NHGRI NIH HHS UM1 HG007292NLM NIH HHS T15 LM007442
6 · The paper itself

Abstract

purposeThere is debate within the genetics community about the optimal term to describe genetic variants unrelated to the test indication but potentially important for health. Given the lack of consensus and the importance of adopting terminology that promotes effective clinical communication, we sought the opinion of clinical genetics patients.

methodsSurveys and focus groups with two patient populations were conducted. Eighty-eight survey participants were asked to rank four terms according to how well each describes results unrelated to the test indication: incidental findings, secondary findings, additional findings, and ancillary findings. Participants in six focus groups were guided through a free-thought exercise to describe the desired attributes of such a term and then asked to formulate the best term to represent this concept.

resultsThe term additional findings had the most first-choice rankings by survey participants, followed by secondary findings, incidental findings, and ancillary findings. Most focus group participants preferred the term additional findings; they also gave reasons why other terms were not optimal.

conclusionAdditional findings was preferred because it was more neutral and accessible than other terms currently in use. Patient perceptions and comprehension will be framed by the terminology used by healthcare providers. Thus, patient opinions should be considered by medical genetics professionals.Genet Med 19 2, 176-181.

Indexed as

Incidental FindingsSurveys and QuestionnairesTerminology as TopicAdolescentAdultAttitudeFemaleGenome, HumanHumansMaleMiddle AgedPatient PreferenceSequence Analysis, DNA

Identifiers

PMID27490114
PMCPMC5291803

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.