Evidence map›Paper›PMID 23264029›Full record

ArticleCulture, medicine and psychiatry2013

Pharmacogenetics in primary care: the promise of personalized medicine and the reality of racial profiling.

Linda M Hunt, Meta J Kreiner

Abstract read
In one paragraph

Article in Culture, medicine and psychiatry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

2 authors.

Linda M HuntDepartment of Anthropology, Michigan State University, 338 Baker Hall, East Lansing, MI 48824, USA. huntli@msu.edu
Meta J Kreiner

Funding

Clinicians' Concepts of Racial/Ethnic Differences in the Management of Chronic IlR01HG004710 · NHGRI · MICHIGAN STATE UNIVERSITY · PI HUNT, LINDA M · 2008 to 2010
$1.7M
NHGRI NIH HHS HG004710-03NHGRI NIH HHS R01 HG004710
6 · The paper itself

Abstract

Many anticipate that expanding knowledge of genetic variations associated with disease risk and medication response will revolutionize clinical medicine, making possible genetically based Personalized Medicine where health care can be tailored to individuals, based on their genome scans. Pharmacogenetics has received especially strong interest, with many pharmaceutical developers avidly working to identify genetic variations associated with individual differences in drug response. While clinical applications of emerging genetic knowledge are becoming increasingly available, genetic tests for drug selection are not as yet widely accessible, and many primary care clinicians are unprepared to interpret genetic information. We conducted interviews with 58 primary care clinicians, exploring how they integrate emerging pharmacogenetic concepts into their practices. We found that in their current practices, pharmacogenetic innovations have not led to individually tailored treatment, but instead have encouraged use of essentialized racial/ethnic identity as a proxy for genetic heritage. Current manifestations of Personalized Medicine appear to be reinforcing entrenched notions of inherent biological differences between racial groups, and promoting the belief that racial profiling in health care is supported by cutting-edge scientific authority. Our findings raise concern for how pharmacogenetic innovations will actually affect diverse populations, and how unbiased treatment can be assured.

Indexed as

AdultAgedDisease SusceptibilityEthnicityFemaleGenetic TestingGenetic VariationHumansMaleMichiganMiddle AgedPharmacogeneticsPractice Patterns, Physicians'Precision MedicinePrimary Health CareRacial Groups

Identifiers

PMID23264029
PMCPMC3593998

What OpenQuestion holds

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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.