Evidence map›Paper›PMID 23044603›Full record

ReviewThe pharmacogenomics journal2012

Pharmacogenetics of nonsteroidal anti-inflammatory drugs.

J E Wyatt, W L Pettit, S Harirforoosh

Abstract readReview
PubMed Publisher
In one paragraph

Review in The pharmacogenomics journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Drug-Drug Interactions in Vestibular Diseases, Clinical Problems, and Medico-Legal Implications.International journal of environmental research and public health · 2021
    Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Effect of CYP2C9 Polymorphisms on the Pharmacokinetics of Indomethacin During Pregnancy.European journal of drug metabolism and pharmacokinetics · 2019
    Article
  12. Article
  13. Response.Journal of the National Cancer Institute · 2013
    Article
  14. Review
  15. 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

3 authors.

J E WyattGatton College of Pharmacy, East Tennessee State University, Johnson City, TN 37614-1708, USA.
W L Pettit
S Harirforoosh

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the beginning of the Human Genome Project, an emerging field of science was brought to the forefront of the pharmaceutical community. Pharmacogenetics facilitates optimization of the current patient-centered care model and pharmacotherapy as a whole. Utilizing these ever-expanding branches of science to nonsteroidal anti-inflammatory drugs (NSAIDs) can provide novel opportunities to affect patient care. With a wide range of NSAID choices available as treatment options for relieving pain and/or reducing inflammation or fever, a more systematic way of selecting the ideal agent for the patients based upon their genetic information could spare them from a potentially permanent health-care condition. Furthermore, if a patient possesses or lacks certain alleles, serious adverse events can be anticipated and avoided. The tailoring of drug therapy can be achieved using the published data and cutting-edge genetic testing to attain a higher standard of care for patients.

Indexed as

PharmacogeneticsAnti-Inflammatory Agents, Non-SteroidalAryl Hydrocarbon HydroxylasesAspirinCelecoxibCytochrome P-450 CYP2C9DiclofenacHumansIbuprofenIndomethacinPyrazolesSulfonamidesAnti-Inflammatory Agents, Non-SteroidalAryl Hydrocarbon HydroxylasesAspirinCelecoxibCYP2C9 protein, humanCytochrome P-450 CYP2C9DiclofenacIbuprofenIndomethacinlumiracoxibPyrazolesSulfonamides

Identifiers

PMID23044603

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.