Evidence map›Paper›PMID 19318436›Full record

Trial reportCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2009

Risk information exposure and direct-to-consumer genetic testing for BRCA mutations among women with a personal or family history of breast or ovarian cancer.

Stacy W Gray, Cristin O'Grady, Lauren Karp, Daniel Smith, J Sanford Schwartz, Robert C Hornik, Katrina Armstrong

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 4 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

15 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Decision aids for people facing health treatment or screening decisions.The Cochrane database of systematic reviews · 2024
    Pooled it
  2. Decision aids for people facing health treatment or screening decisions.The Cochrane database of systematic reviews · 2017
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Cancer communication research in the era of genomics and precision medicine: a scoping review.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
  7. Article
  8. Article
  9. Article
  10. What is lacking in current decision aids on cancer screening?CA: a cancer journal for clinicians · 2013
    Review
  11. Update on Direct-to-Consumer Marketing in Oncology.Journal of oncology practice · 2012
    Article
  12. Article
  13. Article
  14. Review
  15. Informational content, literacy demands, and usability of websites offering health-related genetic tests directly to consumers.Genetics in medicine : official journal of the American College of Medical Genetics · 2010
    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

7 authors.

Stacy W GrayCenter for Outcomes and Policy Research, Dana-Farber Cancer Institute, Boston, MA 02115, USA. stacyw_gray@dfci.harvard.edu
Cristin O'Grady
Lauren Karp
Daniel Smith
J Sanford Schwartz
Robert C Hornik
Katrina Armstrong

Funding

Effects of Public Information in Cancer (EPIC Center)P50CA095856 · NCI · UNIVERSITY OF PENNSYLVANIA · PI HORNIK, ROBERT C. · 2003 to 2007
$10.1M
NCI NIH HHS 5P50CA095856-05NCI NIH HHS P50 CA095856
6 · The paper itself

Abstract

backgroundDirect-to-consumer (DTC) BRCA testing may expand access to genetic testing and enhance cancer prevention efforts. It is not known, however, if current DTC websites provide adequate risk information for informed medical decision making.

methodsA total of 284 women with a personal or family history of breast/ovarian cancer were randomly assigned to view a "mock" DTC commercial website [control condition (CC); n = 93] or the same "mock" website that included information on the potential risks of obtaining genetic testing online. Risk information was framed two ways: risk information attributed to expert sources (ES; n = 98) and unattributed risk information (URI; n = 93). Participants completed an online survey. End points were intentions to get BRCA testing, testing site preference, and beliefs about DTC BRCA testing.

resultsThe sample was 82% white, had a mean age of 39 years (range, 18-70 years) and had a mean education of 3 years of college. Women exposed to risk information had lower intentions to get BRCA testing than women in the CC [adjusted odds ratio (OR), 0.48; 95% confidence interval (95% CI) 0.26-0.87; P = 0.016], and less positive beliefs about online BRCA testing (adjusted OR, 0.48; 95% CI, 0.27-0.86; P = 0.014). Women in the ES condition were more likely to prefer clinic-based testing than were women in the CC (adjusted OR, 2.05; 95% CI, 1.07-3.90; P = 0.030).

conclusionExposing women to information on the potential risks of online BRCA testing altered their intentions, beliefs, and preferences for BRCA testing. Policy makers may want to consider the content and framing of risk information on DTC websites as they formulate regulation for this rapidly growing industry.

Indexed as

Genes, BRCA1Genetic Predisposition to DiseaseAdolescentAdultAgedAttitude to HealthBreast NeoplasmsDecision MakingFemaleGenetic CounselingGenetic TestingHumansMiddle AgedMutationOvarian NeoplasmsRisk Factors

Identifiers

PMID19318436
PMCPMC2963112

What OpenQuestion holds

Textmetadata
LicenceTDM
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.