Evidence map›Paper›PMID 25620993›Full record

ArticlePersonalized medicine2015

Consumer familiarity, perspectives and expected value of personalized medicine with a focus on applications in oncology.

Susan Garfeld, Michael P Douglas, Karen V MacDonald, Deborah A Marshall, Kathryn A Phillips

Abstract read
In one paragraph

Article in Personalized medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Observational
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  8. What are people willing to pay for whole-genome sequencing information, and who decides what they receive?Genetics in medicine : official journal of the American College of Medical Genetics · 2016
    Article
  9. 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

5 authors at 2 institutions in 1 country.

Susan GarfeldGfK, 21 Cochituate Road Wayland, MA 01778, USA.
Michael P DouglasDepartment of Clinical Pharmacy, Center for Translational & Policy Research on Personalized Medicine (TRANSPERS), University of California at San Francisco, 3333 California St, Room 420, Box 0613 San Francisco, CA 94143 USA.
Karen V MacDonaldHealth Research Innovation Centre (HRIC) - 3C62, University of Calgary, 3280 Hospital Drive NW, Calgary, AB T2N 4Z6, USA.
Deborah A MarshallHealth Research Innovation Centre (HRIC) - 3C62, University of Calgary, 3280 Hospital Drive NW, Calgary, AB T2N 4Z6, USA.
Kathryn A PhillipsDepartment of Clinical Pharmacy, Center for Translational & Policy Research on Personalized Medicine (TRANSPERS), University of California at San Francisco, 3333 California St, Room 420, Box 0613 San Francisco, CA 94143 USA.
University of California, San Francisco · USGfK (United States) · US

Funding

Risk-Benefit Trade-Offs for Whole Genome SequencingR01HG007063 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PHILLIPS, KATHRYN A · 2013 to 2016
$2.5M
NHGRI NIH HHS R01 HG007063
6 · The paper itself

Abstract

aimsKnowledge of consumer perspectives of personalized medicine (PM) is limited. Our study assessed consumer perspectives of PM, with a focus on oncology care, to inform industry, clinician and payer stakeholders' programs and policy. MATERIALS &

methodsA nationally representative survey of 602 US consumers' ≥30 years old explored familiarity, perspectives and expected value of PM.

resultsMost (73%) respondents have not heard of 'personalized medicine,' though after understanding the term most (95%) expect PM to have a positive beneft. Consumer's willingness to pay is associated with products' impact on survival, rather than predicting disease risk. If testing indicates consumers are not candidates for oncology therapies, most (84%) would seek a second opinion or want therapy anyway.

conclusionsUnderstanding heterogeneity in consumer perspectives of PM can inform program and policy development.

Indexed as

consumerseducationknowledgeoncologypersonalized medicineperspectivesvalue

Identifiers

PMID25620993
PMCPMC4303575
OpenAlexW2100984709

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.