ArticleMalaria journal2011
Optimal designs for population pharmacokinetic studies of oral artesunate in patients with uncomplicated falciparum malaria.
Article in Malaria journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
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.
Who cites it
14 citing papers in PubMed.
- Optimizing Clinical Study Designs for CAR-T Cell Therapy: Development of an Efficient Sampling Strategy Through Optimal Experimental Design.CPT: pharmacometrics & systems pharmacology · 2026Article
- Optimizing the design of a pharmacokinetic trial to evaluate the dosing scheme of a novel tuberculosis drug in children living with or without HIV.CPT: pharmacometrics & systems pharmacology · 2024Article
- Article
- Investigating the Efficacy of Triple Artemisinin-Based Combination Therapies for Treating Plasmodium falciparum Malaria Patients Using Mathematical Modeling.Antimicrobial agents and chemotherapy · 2018Article
- Modelling the time course of antimalarial parasite killing: a tour of animal and human models, translation and challenges.British journal of clinical pharmacology · 2015Review
- Optimal sampling of antipsychotic medicines: a pharmacometric approach for clinical practice.British journal of clinical pharmacology · 2014Article
- Making the most of clinical data: reviewing the role of pharmacokinetic-pharmacodynamic models of anti-malarial drugs.The AAPS journal · 2014Review
- Statistical power calculations for mixed pharmacokinetic study designs using a population approach.The AAPS journal · 2014Article
- A robust design for identification of the Parasite Clearance Estimator.Malaria journal · 2013Article
- Optimizing drug development of anti-cancer drugs in children using modelling and simulation.British journal of clinical pharmacology · 2013Review
- The status of pharmacometrics in pregnancy: highlights from the 3(rd) American conference on pharmacometrics.British journal of clinical pharmacology · 2012Review
- An investigation of the auto-induction of and gender-related variability in the pharmacokinetics of dihydroartemisinin in the rat.Malaria journal · 2012Article
- Assessing the utility of an anti-malarial pharmacokinetic-pharmacodynamic model for aiding drug clinical development.Malaria journal · 2012Article
- Optimal designs for population pharmacokinetic studies of the partner drugs co-administered with artemisinin derivatives in patients with uncomplicated falciparum malaria.Malaria journal · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundCurrently, population pharmacokinetic (PK) studies of anti-malarial drugs are designed primarily by the logistical and ethical constraints of taking blood samples from patients, and the statistical models that are fitted to the data are not formally considered. This could lead to imprecise estimates of the target PK parameters, and/or designs insufficient to estimate all of the parameters. Optimal design methodology has been developed to determine blood sampling schedules that will yield precise parameter estimates within the practical constraints of sampling the study populations. In this work optimal design methods were used to determine sampling designs for typical future population PK studies of dihydroartemisinin, the principal biologically active metabolite of oral artesunate.
methodsOptimal designs were derived using freely available software and were based on appropriate structural PK models from an analysis of data or the literature and key sampling constraints identified in a questionnaire sent to active malaria researchers (3-4 samples per patient, at least 15 minutes between samples). The derived optimal designs were then evaluated via simulation-estimation.
resultsThe derived optimal sampling windows were 17 to 29 minutes, 30 to 57 minutes, 2.5 to 3.7 hours and 5.8 to 6.6 hours for non-pregnant adults; 16 to 29 minutes, 31 minutes to 1 hour, 2.0 to 3.4 hours and 5.5 to 6.6 hours for designs with non-pregnant adults and children and 35 to 59 minutes, 1.2 to 3.4 hours, 3.4 to 4.9 hours and 6.0 to 8.0 hours for pregnant women. The optimal designs resulted in acceptable precision of the PK parameters.
conclusionsThe proposed sampling designs in this paper are robust and efficient and should be considered in future PK studies of oral artesunate where only three or four blood samples can be collected.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.