Evidence map›Paper›PMID 38904798›Full record

ArticleEuropean journal of clinical pharmacology2024

Development and validation of individualized tacrolimus dosing software for Chinese pediatric liver transplantation patients: a population pharmacokinetic approach.

Siyu Yang, Jian Wei, Xueqiang Pan, Ze Li, Xuanling Zhang, Zhe Li, Xianzhe Dong, Zixin Hua, Xingang Li

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in European journal of clinical pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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.

Siyu YangDepartment of Pharmacy, Beijing Friendship Hospital, Capital Medical University, 95 Yong An Road, Xi Cheng District, Beijing, 100050, China.
Jian WeiDepartment of Interventional Radiography, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
Xueqiang PanPharmacy Department of Beijing Health Vocational College, No. 128, Jiukeshu East Road, Tongzhou District, Beijing, 101101, China.
Ze LiDepartment of Pharmacy, Beijing Friendship Hospital, Capital Medical University, 95 Yong An Road, Xi Cheng District, Beijing, 100050, China.
Xuanling ZhangDepartment of Pharmacy, Peking University First Hospital, Beijing, China.
Zhe LiDepartment of Pharmacy, Beijing Friendship Hospital, Capital Medical University, 95 Yong An Road, Xi Cheng District, Beijing, 100050, China.
Xianzhe DongDepartment of Pharmacy, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China.
Zixin HuaDepartment of Pharmacy, Beijing Friendship Hospital, Capital Medical University, 95 Yong An Road, Xi Cheng District, Beijing, 100050, China.
Xingang LiDepartment of Pharmacy, Beijing Friendship Hospital, Capital Medical University, 95 Yong An Road, Xi Cheng District, Beijing, 100050, China. lxg198320022003@163.com.

Funding

Beijing Natural Sciences Foundation Z230021Research and application of clinical characteristic diagnosis and treatment technology in Beijing grant no. Z221100007422032
6 · The paper itself

Abstract

objectiveWe aim to describe the population pharmacokinetics (PPK) of tacrolimus in Chinese pediatric patients under 4 years old after liver transplantation and to develop individualized tacrolimus dosing software.

methodsA total of 663 blood concentrations from 85 patients aged 4.57 months to 3.97 years were collected in this study. PPK analysis was performed using a nonlinear mixed effects modeling approach with the software, Phoenix. Using C#, an individualized tacrolimus dosing software was created. The software was then used to predict the concentrations of another ten pediatric liver transplantation patients to verify the accuracy of said software. The predictive error (PE) and the absolute predictive error (APE) for each predicted time point were computed.

resultsA one-compartment model with first-order elimination best fitted the data. The apparent volume of distribution (V/F) and apparent clearance (CL/F) were 198.65 L and 2.41 L/h. Postoperative days (POD), total bilirubin (TBIL), and the use of voriconazole significantly influenced tacrolimus apparent clearance. The incorporation of an increasing number of actual blood drug concentrations into the prediction resulted in a decrease in both PE (72%, 17%, 7%) and APE (87%, 53%, 26%).

conclusionsA qualified PPK model of tacrolimus was developed in Chinese pediatric patients. The individualized tacrolimus dosing software could be used as a suitable tool for the personalization of tacrolimus dosing for pediatric patients after liver transplantation.

Indexed as

Immunosuppressive AgentsLiver TransplantationModels, BiologicalSoftwareTacrolimusChild, PreschoolChinaEast Asian PeopleFemaleHumansInfantMaleImmunosuppressive AgentsTacrolimusChinese pediatric patientsIndividualized dosing softwareLiver transplantationPopulation pharmacokineticsTacrolimusUnder 4 years old

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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.