Evidence map›Paper›PMID 35442010›Full record

ArticleEuropean journal of drug metabolism and pharmacokinetics2022

A Population Pharmacokinetic Model of Whole-Blood and Intracellular Tacrolimus in Kidney Transplant Recipients.

Linda G Franken, Marith I Francke, Louise M Andrews, Ron H N van Schaik, Yi Li, Lucia E A de Wit, Carla C Baan, Dennis A Hesselink, Brenda C M de Winter

Open access · hybridAbstract read
In one paragraph

Article in European journal of drug metabolism and pharmacokinetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. State of Art of Dose Individualization to Support tacrolimus drug monitoring: What's Next?Transplant international : official journal of the European Society for Organ Transplantation · 2025
    Review
  6. Article
  7. 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 3 institutions in 2 countries.

Linda G Franken *Department of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Marith I Francke *Department of Internal Medicine, Division of Nephrology and Transplantation, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands. m.francke@erasmusmc.nl.
Louise M AndrewsDepartment of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Ron H N van SchaikDepartment of Clinical Chemistry, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Yi LiDepartment of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Lucia E A de WitDepartment of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Carla C BaanDepartment of Internal Medicine, Division of Nephrology and Transplantation, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Dennis A HesselinkDepartment of Internal Medicine, Division of Nephrology and Transplantation, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Brenda C M de WinterDepartment of Hospital Pharmacy, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Erasmus MC · NLErasmus MC Cancer Institute · NLWest China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveThe tacrolimus concentration within peripheral blood mononuclear cells may correlate better with clinical outcomes after transplantation compared to concentrations measured in whole blood. However, intracellular tacrolimus measurements are not easily implemented in clinical practice. The prediction of intracellular concentrations based on whole-blood concentrations would be a solution for this. Therefore, the aim of this study was to describe the relationship between intracellular and whole-blood tacrolimus concentrations in a population pharmacokinetic (popPK) model.

methodsPharmacokinetic analysis was performed using non-linear mixed effects modelling software (NONMEM). The final model was evaluated using goodness-of-fit plots, visual predictive checks, and a bootstrap analysis.

resultsA total of 590 tacrolimus concentrations from 184 kidney transplant recipients were included in the study. All tacrolimus concentrations were measured in the first three months after transplantation. The intracellular tacrolimus concentrations (n  = 184) were best described with an effect compartment. The distribution into the effect compartment was described by the steady-state whole-blood to intracellular ratio (R

conclusionWe were able to accurately describe intracellular tacrolimus concentrations using whole-blood concentrations, lean body weight, and haematocrit values in a popPK model. This model may be used in the future to more accurately predict clinical outcomes after transplantation and to identify patients at risk for under- and overexposure. Dutch National Trial Registry number NTR2226.

Indexed as

Kidney TransplantationTacrolimusArea Under CurveBayes TheoremBody WeightHumansImmunosuppressive AgentsLeukocytes, MononuclearModels, BiologicalImmunosuppressive AgentsTacrolimus

Identifiers

PMID35442010
PMCPMC9232416
OpenAlexW4224279233

What OpenQuestion holds

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LicenceCC BY-NC
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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.