ReviewCurrent drug delivery2004
Challenges in current drug delivery from the potential application of pharmacogenomics and personalized medicine in clinical practice.
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.
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.
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.
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.
Who cites it
4 citing papers in PubMed, 24 citations in OpenAlex.
- Principal Component Analysis (PCA) of Molecular Descriptors for Improving Permeation through the Blood-Brain Barrier of Quercetin Analogues.International journal of molecular sciences · 2023Article
- The GEnetic Syntax Score: a genetic risk assessment implementation tool grading the complexity of coronary artery disease-rationale and design of the GESS study.BMC cardiovascular disorders · 2021Observational
- The evolving role of drug metabolism in drug discovery and development.Pharmaceutical research · 2007Review
- Clinical translation of genotyping and haplotyping data: implementation of in vivo pharmacology experience leading drug prescription to pharmacotyping.Clinical pharmacokinetics · 2007Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
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.