Evidence map›Paper›PMID 20395690›Full record

ArticlePublic health genomics2010

Debating clinical utility.

Wylie Burke, A-M Laberge, N Press

Abstract read
In one paragraph

Article in Public health genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Trial
  2. Beyond severity: utility as a criterion for setting the scope of RGCS.European journal of human genetics : EJHG · 2025
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Outcomes of prior authorization requests for genetic testing in outpatient pediatric genetics clinics.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Article
  9. Article
  10. Using the Delphi method to identify clinicians' perceived importance of pediatric exome sequencing results.Genetics in medicine : official journal of the American College of Medical Genetics · 2020
    Article
  11. Genome Diagnostics: Novel Strategies for Measuring Value.Journal of managed care & specialty pharmacy · 2019
    Article
  12. Clinical Utility of Advanced Microbiology Testing Tools.Journal of clinical microbiology · 2019
    Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2017
    Review
  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

3 authors.

Wylie BurkeDepartment of Bioethics and Humanities, University of Washington, Seattle, Wash. 98195-7120, USA. wburke@u.washington.edu
A-M Laberge
N Press

Funding

Genomic Health Care and the Medically UnderservedP50HG003374 · NHGRI · UNIVERSITY OF WASHINGTON · PI BURKE, WYLIE G. · 2004 to 2014
$9.8M
NHGRI NIH HHS P50 HG003374
6 · The paper itself

Abstract

The clinical utility of genetic tests is determined by the outcomes following test use. Like other measures of value, it is often contested. Stakeholders may have different views about benefits and risks and about the importance of social versus health outcomes. They also commonly disagree about the evidence needed to determine whether a test is effective in achieving a specific outcome. Questions may be presented as factual disagreements, when they are actually debates about what information matters or how facts should be interpreted and used in clinical decision-making. Defining the different issues at stake is therefore an important element of policy-making. Key issues include evidence standards for test use, and in particular, the circumstances under which prospective controlled data should be required, as well as evidence on feasibility, cost and equitable delivery of testing; the goals of population-based screening programs, and in particular, the role of social outcomes in evaluating test value; and the appropriate uses and funding of tests that inform non-medical actions. Addressing each of these issues requires attention to stakeholder values and methods for effective deliberation that incorporate consumer as well as health professional perspectives.

Indexed as

Decision MakingDecision Support TechniquesEvidence-Based MedicineGenetic CounselingGenetic TechniquesGenetic TestingHealth PolicyHumansInfant, NewbornNeonatal ScreeningPatient ParticipationRiskRisk Assessment

Identifiers

PMID20395690
PMCPMC2865394

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.