Evidence map›Paper›PMID 27977007›Full record

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

The value of genetic testing: beyond clinical utility.

Barbara Lerner, Nell Marshall, Sabine Oishi, Andrew Lanto, Martin Lee, Alison B Hamilton, Elizabeth M Yano, Maren T Scheuner

Open access · bronzeAbstract read
PubMed Publisher
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 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Delivering genomic medicine in the United Kingdom National Health Service: a systematic review and narrative synthesis.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Pooled it
  2. Observational
  3. Genetic analysis of neurodegenerative diseases.The Journal of clinical investigation · 2026
    Review
  4. Article
  5. Article
  6. Review
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  8. A Modern Approach to Dyslipidemia.Endocrine reviews · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Stakeholders' views on the value of outcomes from clinical genetic and genomic interventions.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
  15. 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

8 authors at 5 institutions in 1 country.

Barbara LernerVA HSR&D Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, Massachusetts, USA.
Nell MarshallVA HSR&D Center for the Study of Healthcare Innovation, Implementation &Policy, VA Greater Los Angeles Healthcare System, Los Angeles, California, USA.
Sabine OishiVA HSR&D Center for the Study of Healthcare Innovation, Implementation &Policy, VA Greater Los Angeles Healthcare System, Los Angeles, California, USA.
Andrew LantoVA HSR&D Center for the Study of Healthcare Innovation, Implementation &Policy, VA Greater Los Angeles Healthcare System, Los Angeles, California, USA.
Martin LeeVA HSR&D Center for the Study of Healthcare Innovation, Implementation &Policy, VA Greater Los Angeles Healthcare System, Los Angeles, California, USA.
Alison B HamiltonVA HSR&D Center for the Study of Healthcare Innovation, Implementation &Policy, VA Greater Los Angeles Healthcare System, Los Angeles, California, USA.ORCID 0000-0003-3998-7212
Elizabeth M YanoVA HSR&D Center for the Study of Healthcare Innovation, Implementation &Policy, VA Greater Los Angeles Healthcare System, Los Angeles, California, USA.ORCID 0000-0002-9385-0025
Maren T ScheunerVA HSR&D Center for the Study of Healthcare Innovation, Implementation &Policy, VA Greater Los Angeles Healthcare System, Los Angeles, California, USA.ORCID 0000-0002-9105-1369
Center for the Study of Healthcare Provider Behavior · USNeurobehavioral Systems · USUCLA Health · USUniversity of California, Los Angeles · USVA Boston Healthcare System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the value of genetic testing from the perspective of the Department of Veterans Affairs (VA) clinical leadership.

methodsWe administered an Internet-based survey to VA clinical leaders nationwide. Respondents rated the value (on a 5-point scale) of each of six possible reasons for genetic testing. Bivariate and linear regressions identified associations between value ratings and environmental, organizational, provider, patient, and encounter characteristics.

resultsRespondents (n = 353; 63% response rate) represented 92% of VA medical centers. Tests that inform clinical management had the highest value rating (58.6%), followed by tests that inform disease prevention (56.4%), reproductive options (50.1%), life planning (43.9%), and a suspected (39.9%) or established (32.3%) diagnosis. Factors positively associated with high value included a culture that fosters adoption of genomics, specialist versus primary care provider, genetic tests available on laboratory menus, availability of genetic testing guidelines, clinicians knowing when to request genetics referrals, and availability of genetics professionals.

conclusionOur results demonstrate the varied value of genetic testing from the perspective of clinical leadership within a health-care system. Engaging organizational leadership in understanding the various reasons for genetic testing and its value beyond clinical utility may increase adoption of genetic tests to support patient-centered care.Genet Med advance online publication 15 December 2016.

Indexed as

Attitude of Health PersonnelGenetic TestingHospitals, VeteransHumansInternetLeadershipPatient-Centered CareReferral and ConsultationSurveys and QuestionnairesUnited StatesUnited States Department of Veterans AffairsVeterans

Identifiers

PMID27977007
OpenAlexW2567120792

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.