Evidence map›Paper›PMID 25010053›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2014

The business of genomic testing: a survey of early adopters.

James M Crawford, Lynn Bry, John Pfeifer, Samuel K Caughron, Stephen Black-Schaffer, Jeffrey A Kant, Jill H Kaufman

Abstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. How can Australia integrate routine genetic sequencing in oncology: a qualitative study through an implementation science lens.Genetics in medicine : official journal of the American College of Medical Genetics · 2020
    Article
  6. Article
  7. The cost of molecular-guided therapy in oncology: a prospective cost study alongside the MOSCATO trial.Genetics in medicine : official journal of the American College of Medical Genetics · 2017
    Article
  8. Article
  9. Utility before business.Genetics in medicine : official journal of the American College of Medical Genetics · 2014
    Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

James M CrawfordHofstra North Shore-LIJ School of Medicine, Uniondale, New York, USA.
Lynn BryBrigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
John PfeiferWashington University School of Medicine, St. Louis, Missouri, USA.
Samuel K CaughronMawd Pathology Group, North Kansas City, Missouri, USA.
Stephen Black-SchafferMassachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Jeffrey A KantUniversity of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Jill H KaufmanCollege of American Pathologists, Northfield, Illinois, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe practice of "genomic" (or "personalized") medicine requires the availability of appropriate diagnostic testing. Our study objective was to identify the reasons for health systems to bring next-generation sequencing into their clinical laboratories and to understand the process by which such decisions were made. Such information may be of value to other health systems seeking to provide next-generation sequencing testing to their patient populations.

methodsA standardized open-ended interview was conducted with the laboratory medical directors and/or department of pathology chairs of 13 different academic institutions in 10 different states.

resultsGenomic testing for cancer dominated the institutional decision making, with three primary reasons: more effective delivery of cancer care, the perceived need for institutional leadership in the field of genomics, and the premise that genomics will eventually be cost-effective. Barriers to implementation included implementation cost; the time and effort needed to maintain this newer testing; challenges in interpreting genetic variants; establishing the bioinformatics infrastructure; and curating data from medical, ethical, and legal standpoints. Ultimate success depended on alignment with institutional strengths and priorities and working closely with institutional clinical programs.

conclusionThese early adopters uniformly viewed genomic analysis as an imperative for developing their expertise in the implementation and practice of genomic medicine.

Indexed as

GenomicsDecision MakingDiffusion of InnovationEarly Detection of CancerGeneticsGenetic TestingHumansNeoplasmsPrecision MedicineSocieties, MedicalSurveys and QuestionnairesUnited States

Identifiers

PMID25010053
PMCPMC4262758

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.