Evidence map›Paper›PMID 22047505›Full record

ArticleGenetic testing and molecular biomarkers2012

Public perspectives about pharmacogenetic testing and managing ancillary findings.

Susanne B Haga, Genevieve Tindall, Julianne M O'Daniel

Abstract read
In one paragraph

Article in Genetic testing and molecular biomarkers, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

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  18. Is "incidental finding" the best term?: a study of patients' preferences.Genetics in medicine : official journal of the American College of Medical Genetics · 2017
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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.

Susanne B HagaInstitute for Genome Sciences and Policy, Duke University, Durham, North Carolina 27708, USA. susanne.haga@duke.edu
Genevieve Tindall
Julianne M O'Daniel

Funding

Pharmacogenetic Testing: Challenges of Clinical IntegrationR01GM081416 · NIGMS · DUKE UNIVERSITY · PI HAGA, SUSANNE · 2008 to 2018
$4.6M
NIGMS NIH HHS 1R01-GM081416-10A1NIGMS NIH HHS R01 GM081416
6 · The paper itself

Abstract

aimsPharmacogenetic (PGx) tests are intended to improve therapeutic outcomes through predicting a patient's likelihood to respond to or experience an adverse effect from a specific treatment. In addition, PGx testing may also generate ancillary, or incidental, disease information unrelated to the purpose for which the test was ordered. To assess public attitudes toward PGx testing, ancillary disease risk information and related clinical issues, we conducted a series of focus groups.

resultsForty-five individuals recruited from Durham, NC, participated in four focus groups. Overall, participants were enthusiastic about PGx testing, though expressed concerns about privacy, confidentiality, and psychological harms associated with ancillary information. Focus group participants believed that physicians had a responsibility to disclose ancillary risk information, but were concerned about managing and coping with unexpected disease risk information.

conclusionWe find that participants welcomed the integration of PGx testing into therapeutic decision-making. Public concerns about PGx testing and ancillary information specifically centered on personal implications of learning such additional information, suggesting that patient-provider discussion of the benefits and risks of testing will be necessary until public familiarity with these tests increases.

Indexed as

Attitude to HealthIncidental FindingsPharmacogeneticsPublic OpinionAdolescentAdultAgedDisclosureFemaleFocus GroupsGenetic CounselingGenetic TestingHumansMaleMiddle AgedYoung Adult

Identifiers

PMID22047505
PMCPMC3306589

What OpenQuestion holds

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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.