Evidence map›Paper›PMID 28914344›Full record

ArticleEuropean journal of clinical pharmacology2017

Influence of genetic co-factors on the population pharmacokinetic model for clopidogrel and its active thiol metabolite.

Dorota Danielak, Marta Karaźniewicz-Łada, Anna Komosa, Paweł Burchardt, Maciej Lesiak, Łukasz Kruszyna, Agnieszka Graczyk-Szuster, Franciszek Główka

Open access · hybridAbstract read
In one paragraph

Article in European journal of clinical pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.7field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Circulation · 2024
    Review
  2. Influence of Genetic and Epigenetic Factors of P2YCardiovascular drugs and therapy · 2024
    Review
  3. Article
  4. IsGenes · 2024
    Article
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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

8 authors at 1 institution in 1 country.

Dorota DanielakDepartment of Physical Pharmacy and Pharmacokinetics, Poznan University of Medical Sciences, Święcickiego 6 St, 60-781, Poznań, Poland. danielak@ump.edu.pl.ORCID http://orcid.org/0000-0001-5807-1109
Marta Karaźniewicz-ŁadaDepartment of Physical Pharmacy and Pharmacokinetics, Poznan University of Medical Sciences, Święcickiego 6 St, 60-781, Poznań, Poland.
Anna KomosaFirst Department of Cardiology, Poznan University of Medical Sciences, Poznań, Poland.
Paweł BurchardtDepartment of Biology and Environmental Sciences, Poznan University of Medical Sciences, Poznań, Poland.
Maciej LesiakFirst Department of Cardiology, Poznan University of Medical Sciences, Poznań, Poland.
Łukasz KruszynaDepartment of General and Vascular Surgery, Poznan University of Medical Sciences, Poznań, Poland.
Agnieszka Graczyk-SzusterFirst Department of Cardiology, Poznan University of Medical Sciences, Poznań, Poland.
Franciszek GłówkaDepartment of Physical Pharmacy and Pharmacokinetics, Poznan University of Medical Sciences, Święcickiego 6 St, 60-781, Poznań, Poland.
Poznan University of Medical Sciences · PL

Funding

Narodowe Centrum Nauki 2014/15/B/NZ7/00869Uniwersytet Medyczny w Poznaniu (PL) 502-14-03306413-09628
6 · The paper itself

Abstract

purposeA high interindividual variability is observed in the pharmacokinetics of clopidogrel, a widely used antiplatelet drug. In the present study, a joint parent-metabolite population pharmacokinetic model was developed to adequately describe observed concentrations of clopidogrel and its active thiol metabolite (H4).

methodsThe study included 63 patients undergoing elective coronarography or percutaneous coronary intervention. The population pharmacokinetic model was developed in the NONMEM 7.3 software, and first-order conditional estimation method with interaction was applied. Also, the influence of covariates was evaluated (age, weight, body mass index (BMI), obesity defined as BMI ≥ 30 kg/m

resultsIt was found that the only significant covariate was the presence of CYP2C19*2 allele, which had an impact on lower conversion of clopidogrel to H4. As a result, predicted area under the time-concentration curve values was lower in carriers of this allele, with median 5.94 ng h/ml (interquartile range 3.92-12.51 [ng∙h/ml]) vs. 12.70 ng h/ml in non-carriers (interquartile range, 7.00-19.39 [ng∙h/ml]), respectively (p = 0.004).

conclusionsDeveloped model predicts that the only significant covariate influencing the observed concentrations and therefore the exposure to the active H4 metabolite is the presence of CYP2C19*2 allele.

Indexed as

AdultAgedClopidogrelFemaleGenotypeHumansMaleModels, TheoreticalPlatelet Aggregation InhibitorsSulfhydryl CompoundsTiclopidineClopidogrelPlatelet Aggregation InhibitorsSulfhydryl CompoundsTiclopidineClinical pharmacokineticsPharmacogeneticsPopulation pharmacokineticsProdrugsSingle nucleotide polymorphism

Identifiers

PMID28914344
PMCPMC5684285
OpenAlexW2754213115

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Registered trials

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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.