Evidence map›Paper›PMID 19756559›Full record

ArticleEuropean journal of clinical pharmacology2009

Effects of CYP2C19 and CYP2C9 genotypes on pharmacokinetic variability of valproic acid in Chinese epileptic patients: nonlinear mixed-effect modeling.

Dechun Jiang, Xiangrong Bai, Qingxia Zhang, Wei Lu, Yuqin Wang, Lin Li, Markus Müller

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of clinical pharmacology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 16% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. A systematic review of population pharmacokinetics of valproic acid.British journal of clinical pharmacology · 2018
    Pooled it
  2. Sex related differences on valproic acid pharmacokinetics after oral single dose.Journal of pharmacokinetics and pharmacodynamics · 2013
    Trial
  3. Trial
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Valproic acid autoinduction: a case-based review.International journal of bipolar disorders · 2021
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Estimation of apparent clearance of valproic acid in adult Saudi patients.International journal of clinical pharmacy · 2019
    Article
  20. 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

7 authors at 3 institutions in 2 countries.

Dechun JiangDepartment of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China.
Xiangrong Bai
Qingxia Zhang
Wei Lu
Yuqin Wang
Lin Li
Markus Müller
Capital Medical University · CNMedical University of Vienna · ATPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the effects of CYP2C19 and CYP2C9 genotypes on the pharmacokinetic variability of valproic acid (VPA) in epileptic patients using a population pharmacokinetic (PPK) approach.

methodsVPA concentrations were measured in 287 epileptic patients, who were genotyped for CYP2C19*2/*3 and CYP2C9*3. Patients who were on monotherapy with VPA were divided into two groups, a PPK-model group (n = 177) and a PPK-valid group (n = 110). The PPK parameter values for VPA were calculated in the PPK-model group by using the NONMEM software. Ultimately, a biological model and a final model were established. Each model was then used to independently predict the concentrations of the PPK-valid group to validate the two models.

resultsThere was a significant effect of the CYP2C19 and CYP2C9 genotypes on the pharmacokinetic (PK) variability (P < 0.01) in the final PPK model of CL/F. The interindividual CL was calculated according to the final model: CL/F = 0.0951 x (1 + e(0.0267 x (3 - genotype))) + 0.0071 x age (L/h). The coefficient of variation (CV) (omega CL/F) of the final model was 29.3%, while that of the biological model was 31.7%. Based on the genotype, the individual PK parameters can be calculated more accurately than before.

conclusionThe CYP2C19 and CYP2C9 genotypes significantly influenced the PK variability of VPA, as quantified by NONMEM software.

Indexed as

AdultAgedAntimanic AgentsAryl Hydrocarbon HydroxylasesChinaCytochrome P-450 CYP2C19Cytochrome P-450 CYP2C9EpilepsyFemaleGenotypeHumansMaleMiddle AgedNonlinear DynamicsPopulationValproic AcidAntimanic AgentsAryl Hydrocarbon HydroxylasesCYP2C19 protein, humanCYP2C9 protein, humanCytochrome P-450 CYP2C19Cytochrome P-450 CYP2C9Valproic Acid

Identifiers

PMID19756559
OpenAlexW1982677579

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.