ArticleBritish journal of clinical pharmacology2018
External evaluation of population pharmacokinetic models for ciclosporin in adult renal transplant recipients.
Article in British journal of clinical pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses that pooled it.
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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.
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Who cites it
34 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Accelerating tacrolimus model-informed precision dosing in kidney transplant recipients: Model evaluation and refinement strategies.British journal of clinical pharmacology · 2026Pooled it
- Published Population Pharmacokinetic Models of Imatinib Perform Poorly on TDM Data from Pediatric Patients.Targeted oncology · 2025Pooled it
- Systematic external evaluation of published population pharmacokinetic models of mycophenolate mofetil in adult kidney transplant recipients co-administered with tacrolimus.British journal of clinical pharmacology · 2019Pooled it
- Evaluation of the performance of a prior tacrolimus population pharmacokinetic kidney transplant model among adult allogeneic hematopoietic stem cell transplant patients.Clinical and translational science · 2021Trial
- Multicenter-Based Population Pharmacokinetic Analysis of Ciclosporin in Hematopoietic Stem Cell Transplantation Patients.Pharmaceutical research · 2019Trial
- Comparing the Predictive Performance of Machine Learning Models with a Newly Developed Population Pharmacokinetic Model for Busulfan in Paediatric Patients.Clinical pharmacokinetics · 2026Article
- Development and validation of high-dose methotrexate population pharmacokinetic models to inform clinical decisions on dosing.European journal of clinical pharmacology · 2026Article
- Application of a Stochastic Simulation-estimation Approach to Optimize Pharmacokinetic Study Design in the Context of Paediatric Extrapolation: A Tool to Support Decision-making by Drug Sponsors and Regulators.Pharmaceutical research · 2026Article
- External evaluation of published voriconazole population pharmacokinetic models in adult patients undergoing extracorporeal membrane oxygenation.European journal of clinical pharmacology · 2026Article
- Prediction of infliximab and anti-drug antibody concentrations in patients with inflammatory bowel disease using machine learning models with real-world data from a prospective cohort study.Frontiers in pharmacology · 2026Article
- Population pharmacokinetics of imipenem and target attainment of pharmacokinetic/pharmacodynamic indices in Chinese adults with febrile neutropenia and hematological malignancies.International journal of clinical pharmacy · 2025Article
- Leveraging Clinical Data to Enhance the Performance Evaluation of Ceftriaxone Population Pharmacokinetic Models in Children.Clinical pharmacokinetics · 2025Article
- External evaluation of intravenous vancomycin population pharmacokinetic models in adults receiving high-flux intermittent haemodialysis.British journal of clinical pharmacology · 2025Article
- Vancomycin dosing in neonates: enhancing outcomes using population pharmacokinetics and simulation.Frontiers in antibiotics · 2025Article
- Population pharmacokinetics of polymyxin B in critically ill patients with carbapenem-resistant organisms infections: insights from steady-state trough and peak plasma concentration.Frontiers in pharmacology · 2025Article
- Semi-mechanistic population pharmacokinetic model incorporating glutathione S-transferase activity for personalized busulfan dosing in pediatric allogeneic hematopoietic cell transplantation.Frontiers in pharmacology · 2025Article
- Machine-learning model to predict the tacrolimus concentration and suggest optimal dose in liver transplantation recipients: a multicenter retrospective cohort study.Scientific reports · 2024Article
- External validation of population pharmacokinetic models of tacrolimus in Thai adult liver transplant recipients.European journal of clinical pharmacology · 2024Article
- The Impact of Spironolactone Co-administration on Cyclosporin Initial Dosage Optimization for Pediatric Refractory Nephrotic Syndrome.Current pharmaceutical design · 2024Article
- External Evaluation of Population Pharmacokinetic Models for Precision Dosing: Current State and Knowledge Gaps.Clinical pharmacokinetics · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsSeveral population pharmacokinetic (popPK) models for ciclosporin (CsA) in adult renal transplant recipients have been constructed to optimize the therapeutic regimen of CsA. However, little is known about their predictabilities when extrapolated to different clinical centres. Therefore, this study aimed to externally evaluate the predictive ability of CsA popPK models and determine the potential influencing factors.
methodsA literature search was conducted and the predictive performance was determined for each selected model using an independent data set of 62 patients (471 predose and 500 2-h postdose concentrations) from our hospital. Prediction-based diagnostics and simulation-based normalized prediction distribution error were used to evaluate model predictability. The influence of prior information was assessed using Bayesian forecasting. Additionally, potential factors influencing model predictability were investigated.
resultsSeventeen models extracted from 17 published popPK studies were assessed. Prediction-based diagnostics showed that ethnicity potentially influenced model transferability. Simulation-based normalized prediction distribution error analyses indicated misspecification in most of the models, especially regarding variance. Bayesian forecasting demonstrated that the predictive performance of the models substantially improved with 2-3 prior observations. The predictability of nonlinear Michaelis-Menten models was superior to that of linear compartmental models when evaluating the impact of structural models, indicating the underlying nonlinear kinetics of CsA. Structural model, ethnicity, covariates and prior observations potentially affected model predictability.
conclusionsStructural model is the predominant factor influencing model predictability. Incorporation of nonlinear kinetics in CsA popPK modelling should be considered. Moreover, Bayesian forecasting substantially improved model predictability.
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