Evidence map›Paper›PMID 17696640›Full record

ReviewPLoS medicine2007

Translating pharmacogenomics: challenges on the road to the clinic.

Jesse J Swen, Tom W Huizinga, Hans Gelderblom, Elisabeth G E de Vries, Willem J J Assendelft, Julia Kirchheiner, Henk-Jan Guchelaar

Abstract readReview
In one paragraph

Review in PLoS medicine, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 12 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

72 citing papers in PubMed, 12 syntheses or guidelines pooled it.

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  3. Pooled it
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  12. Pooled it
  13. Trial
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  16. Evaluating genotype-treatment interactions for high-risk medications in British general practice: a retrospective cohort study using UK Biobank.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
    Article
  17. Article
  18. Review
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  20. Development and application of a computable genotype model in the GA4GH Variation Representation Specification.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2023
    Article

12 more citing papers are in PubMed but not listed here.

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.

Jesse J SwenDepartment of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, The Netherlands.
Tom W Huizinga
Hans Gelderblom
Elisabeth G E de Vries
Willem J J Assendelft
Julia Kirchheiner
Henk-Jan Guchelaar

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacogenomics is one of the first clinical applications of the postgenomic era. It promises personalized medicine rather than the established "one size fits all" approach to drugs and dosages. The expected reduction in trial and error should ultimately lead to more efficient and safer drug therapy. In recent years, commercially available pharmacogenomic tests have been approved by the Food and Drug Administration (FDA), but their application in patient care remains very limited. More generally, the implementation of pharmacogenomics in routine clinical practice presents significant challenges. This article presents specific clinical examples of such challenges and discusses how obstacles to implementation of pharmacogenomic testing can be addressed.

Indexed as

Drug TherapyPharmacogeneticsPolymorphism, GeneticBiotechnologyClinical Trials as TopicCost-Benefit AnalysisDrug UtilizationHumansPractice Guidelines as TopicTechnology, PharmaceuticalUnited StatesUnited States Food and Drug Administration

Identifiers

PMID17696640
PMCPMC1945038

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.