Evidence map›Paper›PMID 30552703›Full record

ArticleBritish journal of clinical pharmacology2019

A population pharmacokinetic model to predict the individual starting dose of tacrolimus in adult renal transplant recipients.

L M Andrews, D A Hesselink, R H N van Schaik, T van Gelder, J W de Fijter, N Lloberas, L Elens, D J A R Moes, B C M de Winter

Open access · hybridAbstract readValidation Study
In one paragraph

Article in British journal of clinical pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 3 pooled it
6.0field-weighted citation impact, top 3% 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

54 citing papers in PubMed, 3 syntheses or guidelines pooled it, 98 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

9 authors at 5 institutions in 3 countries.

L M AndrewsDepartment of Hospital Pharmacy, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.ORCID 0000-0001-8271-3685
D A HesselinkDepartment of Internal Medicine, Division of Nephrology & Transplantation, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0003-1871-1962
R H N van SchaikDepartment of Clinical Chemistry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0003-1864-2151
T van GelderDepartment of Hospital Pharmacy, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.ORCID 0000-0001-5980-6947
J W de FijterDepartment of Nephrology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0003-3076-5584
N LloberasDepartment of Nephrology, IDIBELL, Hospital Universitari de Bellvitge, Barcelona, Spain.ORCID 0000-0002-3387-5757
L ElensDepartment of Integrated PharmacoMetrics, PharmacoGenomics and PharmacoKinetics (PMGK), Louvain Drug Research Institute (LDRI), Université Catholique de Louvain (UCL), Brussels, Belgium.ORCID 0000-0002-0039-3583
D J A R MoesDepartment of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0003-3219-253X
B C M de WinterDepartment of Hospital Pharmacy, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.ORCID 0000-0002-4452-8443
Erasmus MC · NLCodarts Rotterdam · NLLeiden University Medical Center · NLBellvitge University Hospital · ESUCLouvain · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe aims of this study were to describe the pharmacokinetics of tacrolimus immediately after kidney transplantation, and to develop a clinical tool for selecting the best starting dose for each patient.

methodsData on tacrolimus exposure were collected for the first 3 months following renal transplantation. A population pharmacokinetic analysis was conducted using nonlinear mixed-effects modelling. Demographic, clinical and genetic parameters were evaluated as covariates.

resultsA total of 4527 tacrolimus blood samples collected from 337 kidney transplant recipients were available. Data were best described using a two-compartment model. The mean absorption rate was 3.6 h

conclusionsFor a good prediction of tacrolimus pharmacokinetics, age, BSA, CYP3A4 and CYP3A5 genotype are important covariates. These covariates explained 30% of the variability in CL/F. The model proved effective in calculating the optimal tacrolimus dose based on these parameters and can be used to individualize the tacrolimus dose in the early period after transplantation.

Indexed as

Models, BiologicalAdolescentAdultAgedAged, 80 and overAge FactorsArea Under CurveBiological Variation, PopulationComputer SimulationCytochrome P-450 CYP3ADose-Response Relationship, DrugFemaleGraft RejectionHumansImmunosuppressive AgentsKidney TransplantationCYP3A4 protein, humanCYP3A5 protein, humanCytochrome P-450 CYP3AImmunosuppressive AgentsTacrolimuscytochrome P450 enzymesgenetics and pharmacogeneticsimmunosuppression Immunologypharmacokineticspopulation analysisrenal transplantation

Identifiers

PMID30552703
PMCPMC6379219
OpenAlexW2903849335

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.