Evidence map›Paper›PMID 23435614›Full record

ReviewEuropean journal of clinical pharmacology2013

Pharmacogenomics of acetylsalicylic acid and other nonsteroidal anti-inflammatory agents: clinical implications.

Eugenia Yiannakopoulou

Abstract readReview
PubMed Publisher
In one paragraph

Review in European journal of clinical pharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-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

5 citing papers in PubMed, 18 citations in OpenAlex.

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

1 author at 1 institution in 1 country.

Eugenia YiannakopoulouDepartment of Basic Medical Lessons, Faculty of Health and Caring Professions, Technological Educational Institute of Athens, Eleutheriou Benizelou 106, Kallithea, Athens, 17676, Greece. nyiannak@teiath.gr
Technological Educational Institute of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePharmacogenomics investigates interindividual genetic variability in the DNA sequence of drug targets, drug-metabolizing enzymes or disease genes, RNA expression, or protein translation of genes affecting drug response and drug safety. Aspirin and other nonsteroidal anti-inflammatory drugs (NSAIDs) are among the most commonly prescribed medications with well-documented variation in patient response in terms of efficacy and safety. This variation may in part be explained by pharmacogenomics.

methodsIn this paper I review data on the pharmacogenomics of aspirin and other NSAIDs focusing on clinical implications.

resultsExisting scientific evidence supports the pharmacogenomic basis of interindividual variation in treatment response to aspirin and NSAIDs, with clinical implications for antiplatelet action, cancer chemoprevention, and drug safety. However, further research efforts are needed before knowledge on the pharmacogenomics of aspirin and NSAIDs can be implemented in clinical practice.

conclusionThe outcome of these research efforts would be anticipated to have added value for both science and society, contributing to the enhanced efficacy and safety of these agents through patient selection.

Indexed as

Evidence-Based MedicinePrecision MedicineAnti-Inflammatory Agents, Non-SteroidalAryl Hydrocarbon HydroxylasesAspirinChemical and Drug Induced Liver InjuryGastrointestinal HemorrhageHumansPlatelet Aggregation InhibitorsAnti-Inflammatory Agents, Non-SteroidalAryl Hydrocarbon HydroxylasesAspirinPlatelet Aggregation Inhibitors

Identifiers

PMID23435614
OpenAlexW1970213560

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.