ArticleClinical pharmacokinetics2010
Interspecies scaling for the prediction of drug clearance in children: application of maximum lifespan potential and an empirical correction factor.
Article in Clinical pharmacokinetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 21 citations in OpenAlex.
- Physiologically Based Pharmacokinetic Models Are Effective Support for Pediatric Drug Development.AAPS PharmSciTech · 2021Review
- Prediction of Antimalarial Drug Clearance in Children: A Comparison of Three Different Interspecies Scaling Methods.European journal of drug metabolism and pharmacokinetics · 2016Article
- First dose in neonates: are juvenile mice, adults and in vitro-in silico data predictive of neonatal pharmacokinetics of fluconazole.Clinical pharmacokinetics · 2014Article
- Interspecies allometric scaling of antimalarial drugs and potential application to pediatric dosing.Antimicrobial agents and chemotherapy · 2014Article
- Dosing in children: a critical review of the pharmacokinetic allometric scaling and modelling approaches in paediatric drug development and clinical settings.Clinical pharmacokinetics · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectiveInterspecies pharmacokinetic scaling is widely used to predict pharmacokinetic parameters in adult humans but has not been used for the prediction of pharmacokinetic parameters in children. The current study was undertaken to evaluate whether or not drug clearance in children from adult rat, dog and human clearance values could be predicted allometrically.
methodsFour methods (simple allometry, maximum lifespan potential [MLP], MLP with an empirical correction factor and a fixed exponent of 0.75 in association with adult data) were used for the prediction of drug clearance in children. The first three methods included adult animal (rat and dog) data and human data, whereas the fixed exponent of 0.75 included only adult human data.
resultsThe results of this study indicated that simple allometry would systematically overpredict drug clearance in children, whereas application of MLP would underpredict drug clearance in children. Therefore, an empirical correction factor was introduced into MLP, which substantially improved the prediction of drug clearance in children. Prediction based on a fixed exponent of 0.75 and adult human clearance was highly erratic and inferior to the prediction of drug clearance in children from MLP or MLP with an empirical correction factor.
conclusionsOverall, the results of the study indicated that interspecies scaling using adult rat, dog and human clearance values could be useful to predict drug clearance in children in different age groups.
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.