Evidence map›Paper›PMID 40709926›Full record

Trial reportTherapeutic drug monitoring2025

Tacrolimus Exposure is Associated with Acute Rejection in the Early Phase After Kidney Transplantation: A Joint Modeling Approach.

Maaike R Schagen, Alvaro Assis de Souza, Karin Boer, Jesse H Krijthe, Rachida Bouamar, Andrew P Stubbs, Dennis A Hesselink, Brenda C M de Winter

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Therapeutic drug monitoring, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Maaike R SchagenDivision of Nephrology and Transplantation, Department of Internal Medicine, Erasmus MC Transplant Institute, University Medical Center Rotterdam, Rotterdam, the Netherlands.ORCID 0000-0002-8759-9866
Alvaro Assis de SouzaDivision of Nephrology and Transplantation, Department of Internal Medicine, Erasmus MC Transplant Institute, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Karin BoerDivision of Nephrology and Transplantation, Department of Internal Medicine, Erasmus MC Transplant Institute, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Jesse H KrijthePattern Recognition & Bioinformatics Group, Delft University of Technology, Delft, the Netherlands.
Rachida BouamarDepartment of Hospital Pharmacy, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; and.
Andrew P StubbsDepartment of Pathology and Clinical Bioinformatics, Erasmus MC Stubbs Group, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Dennis A HesselinkDivision of Nephrology and Transplantation, Department of Internal Medicine, Erasmus MC Transplant Institute, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Brenda C M de WinterRotterdam Clinical Pharmacometrics Group, Rotterdam, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReports regarding the relationship between tacrolimus exposure and the risk of acute kidney allograft rejection are conflicting. This may be explained by the previous use of methodological approaches that disregarded important factors in the analysis of longitudinal measurements and time-to-event data. Therefore, in this study, joint models were used to investigate the relationship between repeated measurements of tacrolimus predose concentrations (C 0 ) and time to acute biopsy-proven acute rejection (BPAR).

methodsThis was a post hoc analysis of a randomized controlled trial in which living-donor kidney transplant recipients (KTR) received either a standard, bodyweight-based or CYP3A5 genotype-based tacrolimus starting dose. Joint modeling was performed by coupling a mixed-effects model for tacrolimus C 0 with a Cox proportional hazards model for the risk of rejection. Only the first episode of rejection was considered.

resultsA total of 229 KTRs were included, of whom the incidence of BPAR was 10.5% (n = 24 KTRs) in the first 3 months posttransplant. A total of 3069 tacrolimus measurements were available for the analysis. A joint model adjusted for recipient age and peak panel reactive antibodies demonstrated that tacrolimus C 0 was associated with risk of rejection. A 1-unit increase in the time-normalized area under the curve for logarithmically (log)-transformed C 0 represented a change of -2.65 in the log of the relative hazard (95% credible interval: -5.05 to -0.36, P = 0.022).

conclusionsA negative association between the cumulative effect of tacrolimus C 0 and BPAR was observed using joint modeling. This demonstrated that KTRs with lower tacrolimus exposure were at a higher risk of rejection.

Indexed as

Graft RejectionImmunosuppressive AgentsKidney TransplantationTacrolimusAdultCytochrome P-450 CYP3AFemaleHumansMaleMiddle AgedProportional Hazards ModelsCYP3A5 protein, humanCytochrome P-450 CYP3AImmunosuppressive AgentsTacrolimusbiopsy-proven allograft rejectionjoint modelstacrolimus

Identifiers

PMID40709926
PMCPMC12588658

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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.