Evidence map›Paper›PMID 32783100›Full record

SynthesisClinical pharmacokinetics2020

Population Pharmacokinetic Models of Tacrolimus in Adult Transplant Recipients: A Systematic Review.

Ranita Kirubakaran, Sophie L Stocker, Stefanie Hennig, Richard O Day, Jane E Carland

Open access · greenAbstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Clinical pharmacokinetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 4 pooled it
6.3field-weighted citation impact, top 2% 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

43 citing papers in PubMed, 4 syntheses or guidelines pooled it, 68 citations in OpenAlex.

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  20. 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
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

5 authors at 4 institutions in 3 countries.

Ranita KirubakaranSt Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.ORCID 0000-0002-8213-8710
Sophie L StockerSt Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.ORCID 0000-0002-2114-587X
Stefanie HennigCertara Inc., Princeton, NJ, USA.ORCID 0000-0001-5972-3711
Richard O DaySt Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.ORCID 0000-0002-6045-6937
Jane E CarlandSt Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia. Jane.Carland@svha.org.au.ORCID 0000-0002-1456-876X
UNSW Sydney · AUMinistry of Health · MYQueensland University of Technology · AUSt Vincent's Hospital Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesNumerous population pharmacokinetic (PK) models of tacrolimus in adult transplant recipients have been published to characterize tacrolimus PK and facilitate dose individualization. This study aimed to (1) investigate clinical determinants influencing tacrolimus PK, and (2) identify areas requiring additional research to facilitate the use of population PK models to guide tacrolimus dosing decisions.

methodsThe MEDLINE and EMBASE databases, as well as the reference lists of all articles, were searched to identify population PK models of tacrolimus developed from adult transplant recipients published from the inception of the databases to 29 February 2020.

resultsOf the 69 studies identified, 55% were developed from kidney transplant recipients and 30% from liver transplant recipients. Most studies (91%) investigated the oral immediate-release formulation of tacrolimus. Few studies (17%) explained the effect of drug-drug interactions on tacrolimus PK. Only 35% of the studies performed an external evaluation to assess the generalizability of the models. Studies related variability in tacrolimus whole blood clearance among transplant recipients to either cytochrome P450 (CYP) 3A5 genotype (41%), days post-transplant (30%), or hematocrit (29%). Variability in the central volume of distribution was mainly explained by body weight (20% of studies).

conclusionThe effect of clinically significant drug-drug interactions and different formulations and brands of tacrolimus should be considered for any future tacrolimus population PK model development. Further work is required to assess the generalizability of existing models and identify key factors that influence both initial and maintenance doses of tacrolimus, particularly in heart and lung transplant recipients.

Indexed as

Immunosuppressive AgentsKidney TransplantationTacrolimusAdultCytochrome P-450 CYP3AGenotypeHumansLiver TransplantationModels, BiologicalTransplant RecipientsCytochrome P-450 CYP3AImmunosuppressive AgentsTacrolimus

Identifiers

PMID32783100
OpenAlexW3048672647

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.