Evidence map›Paper›PMID 18584467›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2008

Primary care physicians' willingness to offer a new genetic test to tailor smoking treatment, according to test characteristics.

Alexandra E Shields, Douglas E Levy, David Blumenthal, Douglas Currivan, Mary McGinn-Shapiro, Kevin B Weiss, Recai Yucel, Caryn Lerman

Open access · greenAbstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Precision Medicine for Tobacco Dependence: Development and Validation of the Nicotine Metabolite Ratio.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2016
    Review
  5. Review
  6. Article
  7. Article
  8. Prenatal healthcare providers' Gaucher disease carrier screening practices.Genetics in medicine : official journal of the American College of Medical Genetics · 2012
    Article
  9. Article
  10. Article
  11. Review
  12. Public attitudes toward ancillary information revealed by pharmacogenetic testing under limited information conditions.Genetics in medicine : official journal of the American College of Medical Genetics · 2011
    Article
  13. 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

8 authors at 5 institutions in 1 country.

Alexandra E ShieldsHarvard/MGH Center on Genomics, Vulnerable Populations and Health Disparities, Institute for Health Policy, Boston, MA 02111, USA. ashields@partners.org
Douglas E Levy
David Blumenthal
Douglas Currivan
Mary McGinn-Shapiro
Kevin B Weiss
Recai Yucel
Caryn Lerman
Harvard University · USNorthwestern University · USPartners In Health · USRTI International · USUniversity of Pennsylvania · US

Funding

TRANSDISCIPLINARY TOBACCO USE RESEARCH CENTERSP50CA084718 · NCI · UNIVERSITY OF PENNSYLVANIA · PI LERMAN, CARYN · 1999 to 2008
$17.8M
NCI NIH HHS P50 CA084718NCI NIH HHS P50 CA/DA84718
6 · The paper itself

Abstract

Emerging pharmacogenetics research may improve clinical outcomes for common complex conditions typically treated in primary care settings. Physicians' willingness to offer genetically-tailored treatments to their patients will be critical to realizing this potential. According to recent research, it is likely that genotypes used to tailor smoking will have pleiotropic associations with other addictions and diseases, and may have different frequencies across populations. These additional features may pose an additional barrier to adoption. To assess physicians' willingness to offer a new test to individually tailor smoking treatment according to specific test characteristics, we conducted a national mailed survey of 2,000 U.S. primary care physicians (response rate: 62.3%). Physicians responded to a baseline scenario describing a new test to tailor smoking treatment, and three additional scenarios describing specific test characteristics based on published research; there was random assignment to one of two survey conditions in which the test was described as a genetic or non-genetic test. Our findings indicate physicians' self-reported likelihood (0-100 scale) that they would offer a new test to tailor smoking cessation treatment ranged from 69%-78% across all scenarios. Relative to baseline scenario responses, physicians were significantly less likely to offer the test when informed that the same genotypes assessed for treatment tailoring: (1) may also identify individuals predisposed to become addicted to nicotine (p<.001), (2) differ in frequency by race (p<.004), and (3) may have associations with other conditions (e.g., alcohol and cocaine addiction, attention deficit hyperactivity disorder ADHD and Tourette Syndrome) (p<.01). Describing a new test to individually tailor smoking treatment as a "genetic" versus non-genetic test significantly reduced physicians' likelihood of offering the test across all scenarios, regardless of specific test characteristics (p<.0007). Effective education of primary care physicians will be critical to successful integration of promising new pharmacogenetic treatment strategies for smoking.

Indexed as

Smoking PreventionAdultAttitude of Health PersonnelClinical CompetenceFemaleGenetic CounselingHumansMaleMiddle AgedPhysicians, FamilyPractice Patterns, Physicians'Primary Health CareSmokingSmoking CessationSurveys and QuestionnairesTobacco Use Disorder

Identifiers

PMID18584467
PMCPMC3814125
OpenAlexW2048225027

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.