Evidence map›Paper›PMID 21311998›Full record

ArticleJournal of general internal medicine2011

Genomic risk profiling: attitudes and use in personal and clinical care of primary care physicians who offer risk profiling.

Susanne B Haga, Madeline M Carrig, Julianne M O'Daniel, Lori A Orlando, Ley A Killeya-Jones, Geoffrey S Ginsburg, Alex Cho

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Journal of general internal medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 3 pooled it
5.4field-weighted citation impact, top 4% 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

45 citing papers in PubMed, 3 syntheses or guidelines pooled it, 78 citations in OpenAlex.

  1. Pooled it
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  4. Evaluating Approaches for Communication About Genomic Influences on Body Weight.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2015
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  11. The composition and capacity of the clinical genetics workforce in high-income countries: a scoping review.Genetics in medicine : official journal of the American College of Medical Genetics · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Susanne B HagaDuke Institute for Genome Sciences & Policy, Duke University, Durham, NC 27708, USA. susanne.haga@duke.edu
Madeline M Carrig
Julianne M O'Daniel
Lori A Orlando
Ley A Killeya-Jones
Geoffrey S Ginsburg
Alex Cho
Duke University · US

Funding

TRANSLATION AND DISSEMINATION COREP30DA023026 · NIDA · DUKE UNIVERSITY · PI HOYLE, RICK · 2008 to 2023
$19.6M
NIDA NIH HHS P30 DA023026
6 · The paper itself

Abstract

backgroundGenomic risk profiling involves the analysis of genetic variations linked through statistical associations to a range of disease states. There is considerable controversy as to how, and even whether, to incorporate these tests into routine medical care.

objectiveTo assess physician attitudes and uptake of genomic risk profiling among an 'early adopter' practice group.

designWe surveyed members of MDVIP, a national group of primary care physicians (PCPs), currently offering genomic risk profiling as part of their practice. POPULATION: All physicians in the MDVIP network (N = 356)

resultsWe obtained a 44% response rate. One third of respondents had ordered a test for themselves and 42% for a patient. The odds of having ordered personal testing were 10.51-fold higher for those who felt well-informed about genomic risk testing (p < 0.0001). Of those who had not ordered a test for themselves, 60% expressed concerns for patients regarding discrimination by life and long-term/disability insurers, 61% about test cost, and 62% about clinical utility. The odds of ordering testing for their patients was 8.29-fold higher among respondents who had ordered testing for themselves (p < 0.0001). Of those who had ordered testing for patients, concerns about insurance coverage (p = 0.014) and uncertain clinical utility (p = 0.034) were associated with a lower relative frequency of intention to order testing again in the future.

conclusionsOur findings demonstrate that respondent familiarity was a key predictor of physician ordering behavior and clinical utility was a primary concern for genomic risk profiling. Educational and interpretive support may enhance uptake of genomic risk profiling.

Indexed as

Attitude of Health PersonnelGenomicsPhysicians, Primary CareFemaleGene Expression ProfilingGenetic TestingGenetic VariationHealth SurveysHumansMalePrimary Health Care

Identifiers

PMID21311998
PMCPMC3138989
OpenAlexW2163046331

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.