Evidence map›Paper›PMID 21331500›Full record

ArticleEuropean journal of clinical pharmacology2011

Tacrolimus dosing in Chinese renal transplant recipients: a population-based pharmacogenetics study.

Liang Li, Chuan-Jiang Li, Lei Zheng, Yan-Jun Zhang, Hai-Xia Jiang, Bo Si-Tu, Zhong-Hai Li

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Article in European journal of clinical pharmacology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  19. The role of genetics in drug dosing.Pediatric nephrology (Berlin, Germany) · 2012
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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

7 authors.

Liang LiDepartment of Medical Genetics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, Peoples Republic of China liliang@smu.edu.cn
Chuan-Jiang Li
Lei Zheng
Yan-Jun Zhang
Hai-Xia Jiang
Bo Si-Tu
Zhong-Hai Li

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aims of this study were to examine the effects of genetic and clinical factors on the maintenance dose of tacrolimus in patients following renal transplantation and to develop a tacrolimus-dosing model that could be combined with associated factors. PATIENTS AND

methodsThis study included 142 renal transplant recipients who received tacrolimus as immunosuppressive agent. CYP3A5, MDR1 and NR1I2 gene polymorphisms were identified based on the SNaPshot assay. The relationship between the genetic and clinical factors and tacrolimus maintenance dose as well as between dose-corrected tacrolimus concentration was examined.

resultsCYP3A5 genotype, body weight, haematocrit, haemoglobin and total bilirubin significantly influenced the maintenance tacrolimus dose. The tacrolimus-dosing model derived from linear regression model accounted for 40.5% of total variations in the tacrolimus maintenance dose.

conclusionsA pharmacogenetics-based dosing model has been developed for the prediction of the tacrolimus maintenance dose in renal transplant recipients. This model may be useful in helping clinicians prescribe the initial tacrolimus dose with greater safety and effectiveness.

Indexed as

Polymorphism, Single NucleotideAdultATP Binding Cassette Transporter, Subfamily BATP Binding Cassette Transporter, Subfamily B, Member 1ChinaCohort StudiesCytochrome P-450 CYP3ADrug MonitoringGraft RejectionGraft SurvivalHaplotypesHumansImmunosuppressive AgentsKidney TransplantationMaleMedical RecordsABCB1 protein, humanATP Binding Cassette Transporter, Subfamily BATP Binding Cassette Transporter, Subfamily B, Member 1CYP3A5 protein, humanCytochrome P-450 CYP3AImmunosuppressive AgentsNR1I2 protein, humanPregnane X ReceptorReceptors, SteroidTacrolimus

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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.