Evidence map›Paper›PMID 16305372›Full record

ReviewCurrent drug delivery2004

Challenges in current drug delivery from the potential application of pharmacogenomics and personalized medicine in clinical practice.

Ioannis S Vizirianakis

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Current drug delivery, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03150680 (Development of a Risk Prediction Algorithm Through the Investigation of Genetic Risk Factors and the Complexity of Coronary Artery Disease to Estimate Future Risk of Cardiovascular Events), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 14% 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.

NCT03150680 unknown statusstarted 2017, after this paper: background citation

Development of a Risk Prediction Algorithm Through the Investigation of Genetic Risk Factors and the Complexity of Coronary Artery Disease to Estimate Future Risk of Cardiovascular Events: Angiographic (SYNTAX Score), Clinical and Pharmacogenetic Analysis.

Ran2017Enrolled1,080Registered outcomes4Posted comparisons0ConditionsCoronary Artery DiseaseArmsSNPs associated with CAD, SNPs associated with pharmacological response to clopidogrel and statins
PMID 19758907other papers from this trial
Open the trial in the graph
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Observational
  3. Review
  4. 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.

Ioannis S VizirianakisLaboratory of Pharmacology, Department of Pharmaceutical Sciences, Aristotle University of Thessaloniki, GR-54124 Thessaloniki, Greece. ivizir@pharm.auth.gr
Aristotle University of Thessaloniki · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent technological achievements in biotechnology and recombinant DNA technology have provided multiple new methods, molecular targets, and DNA-based diagnostics to pharmaceutical research that can be utilized in assays for screening and developing potential biotechnology-based drugs, as well as in biomedicine, health and pharmaceutical care. Furthermore, such advances opened up new opportunities by applying genetic information data in pharmacotherapy and drug delivery, thus ensuring better drug efficacy and safety in clinical practice. Now the concepts of personalized medicine and pharmacogenomics are likely improving the area of pharmacodynamics and pharmacokinetics, since they favor differentiation of the conventional clinical diagnosis and drug selection into separate molecular subtypes of individuals belonging within a group of patients suffering from the same disease. Genetic polymorphisms have already been detected and analyzed in genes encoding drug-metabolizing enzymes, transporters as well as targets (e.g. receptors). The potential of applying genotyping and haplotyping analysis in future pharmaceutical care could eventually lead to pharmacotyping, i.e. individualized drug delivery profiling based on genetic-bioinformatic data in routine patient care. However, the steps towards this direction of drug delivery in clinical practice still have a long way to go to be fully achieved; until then, the critical evaluation of all available clinical data including pharmacodynamic, pharmacokinetic and genomic must be assessed for ensuring drug efficacy and safety. In this way, there has been great progress in elucidating genetic determinants contributing to the observed interindividual differences in drug disposition and effects, thus implementing current drug delivery with molecular genetics and diagnostics.

Indexed as

Drug Delivery SystemsPharmacogeneticsDrug-Related Side Effects and Adverse ReactionsDrug TherapyGenotypeHealth PersonnelHumansPharmaceutical PreparationsPharmaceutical Preparations

Identifiers

PMID16305372
OpenAlexW2059855923

What OpenQuestion holds

Textmetadata
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Registered trials

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.