Evidence map›Paper›PMID 28603840›Full record

ArticleBritish journal of clinical pharmacology2017

Pretransplant 4β-hydroxycholesterol does not predict tacrolimus exposure or dose requirements during the first days after kidney transplantation.

Thomas Vanhove, Mahmoud Hasan, Pieter Annaert, Stefan Oswald, Dirk R J Kuypers

Abstract readValidation Study
In one paragraph

Article in British journal of clinical pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Effects ofFrontiers in pharmacology · 2023
    Pooled it
  3. Article
  4. Novel Approaches to Characterize Individual Drug Metabolism and Advance Precision Medicine.Drug metabolism and disposition: the biological fate of chemicals · 2023
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Thomas VanhoveDepartment of Microbiology and Immunology, KU Leuven - University of Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0001-5712-6294
Mahmoud HasanDepartment of Clinical Pharmacology, Center of Drug Absorption and Transport (C_DAT), University Hospital Greifswald, Greifswald, Germany.
Pieter AnnaertDrug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven - University of Leuven, Leuven, Belgium.
Stefan OswaldDepartment of Clinical Pharmacology, Center of Drug Absorption and Transport (C_DAT), University Hospital Greifswald, Greifswald, Germany.
Dirk R J KuypersDepartment of Microbiology and Immunology, KU Leuven - University of Leuven, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe CYP3A metric 4β-hydroxycholesterol (4βOHC) has been shown to correlate with tacrolimus steady-state apparent oral clearance (CL/F). Recently, pretransplant 4βOHC was shown not to predict tacrolimus CL/F after transplantation in a cohort of renal recipients (n = 79). The goal of the current study was determine whether these findings could be validated in a substantially larger cohort.

methodsIn a retrospective analysis of 279 renal recipients, tacrolimus trough concentrations (C0), daily dose, haematocrit and other relevant covariates were registered every day for the first 14 days after transplantation. 4βOHC and cholesterol were quantified on plasma collected immediately pretransplant using liquid chromatography tandem-mass spectrometry. Patients were genotyped for CYP3A5*1 and CYP3A4*22.

resultsA total of 3551 tacrolimus C0 concentrations were registered. In a linear mixed model for the 14-day period, determinants of tacrolimus C0 were CYP3A5 genotype, haematocrit, age and weight (overall R

conclusionsThe CYP3A metric 4βOHC cannot be used to predict tacrolimus dose requirements in the first days after transplantation.

Indexed as

AdultAgedAge FactorsBiological Variation, PopulationBiomarkers, PharmacologicalCytochrome P-450 CYP3AFemaleGenotypeGlomerular Filtration RateGraft RejectionHematocritHumansHydroxycholesterolsImmunosuppressive AgentsKidneyKidney Failure, ChronicBiomarkers, Pharmacologicalcholest-5-ene-3,4-diolCYP3A5 protein, humanCytochrome P-450 CYP3AHydroxycholesterolsImmunosuppressive AgentsTacrolimus4β-hydroxycholesterolCYP3A4CYP3A5kidney transplantationtacrolimus

Identifiers

PMID28603840
PMCPMC5651327

What Socratic 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 Socratic graph.