Evidence map›Paper›PMID 25589525›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2015

Value of Genetic Testing for Hereditary Colorectal Cancer in a Probability-Based US Online Sample.

Sara J Knight, Ateesha F Mohamed, Deborah A Marshall, Uri Ladabaum, Kathryn A Phillips, Judith M E Walsh

Open access · greenAbstract read
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 6 pooled it
0.2field-weighted citation impact, top 41% 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

11 citing papers in PubMed, 6 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
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  5. Preferences for Genetic Testing to Predict the Risk of Developing Hereditary Cancer: A Systematic Review of Discrete Choice Experiments.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
    Pooled it
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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

6 authors at 4 institutions in 2 countries.

Sara J KnightHealth Services Research and Development Program, Birmingham Veterans Affairs Medical Center, Birmingham, Alabama, USA (SJK)
Ateesha F MohamedCHEOR, Specialty Medicine, Bayer Healthcare Pharmaceuticals, Inc., Whippany, New Jersey, USA (AFM)
Deborah A MarshallDepartment of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada (DAM)
Uri LadabaumDepartment of Medicine, Stanford University, Palo Alto, California, USA (UL)
Kathryn A PhillipsDepartment of Clinical Pharmacy and Institute for Health Policy Studies, University of California at San Francisco, San Francisco, California, USA (KAP)
Judith M E WalshDepartments of Medicine and Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, California, USA (JMEW)
Stanford University · USUniversity of Calgary · CABayer (United States) · USUniversity of Alabama at Birmingham · US

Funding

UTILIZATION OF PERSONALIZED MEDICINE USING GENOMICSP01CA130818 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PHILLIPS, KATHRYN A · 2008 to 2010
$5.1M
NCI NIH HHS P01 CA130818
6 · The paper itself

Abstract

background. While choices about genetic testing are increasingly common for patients and families, and public opinion surveys suggest public interest in genomics, it is not known how adults from the general population value genetic testing for heritable conditions. We sought to understand in a US sample the relative value of the characteristics of genetic tests to identify risk of hereditary colorectal cancer, among the first genomic applications with evidence to support its translation to clinical settings.

methods. A Web-enabled choice-format conjoint survey was conducted with adults age 50 years and older from a probability-based US panel. Participants were asked to make a series of choices between 2 hypothetical blood tests that differed in risk of false-negative test, privacy, and cost. Random parameters logit models were used to estimate preferences, the dollar value of genetic information, and intent to have genetic testing.

results. A total of 355 individuals completed choice-format questions. Cost and privacy were more highly valued than reducing the chance of a false-negative result. Most (97% [95% confidence interval (CI)], 95%-99%) would have genetic testing to reduce the risk of dying of colorectal cancer in the best scenario (no false negatives, results disclosed to primary care physician). Only 41% (95% CI, 25%-57%) would have genetic testing in the worst case (20% false negatives, results disclosed to insurance company).

conclusions. Given the characteristics and levels included in the choice, if false-negative test results are unlikely and results are shared with a primary care physician, the majority would have genetic testing. As genomic services become widely available, primary care professionals will need to be increasingly knowledgeable about genetic testing decisions.

Indexed as

discrete choicegeneticsinternal medicineoncologyutility assessment

Identifiers

PMID25589525
PMCPMC4501912
OpenAlexW2124095688

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.