Evidence map›Paper›PMID 21501213›Full record

ArticleBritish journal of clinical pharmacology2011

Paediatric drug development: are population models predictive of pharmacokinetics across paediatric populations?

Massimo Cella, Wei Zhao, Evelyne Jacqz-Aigrain, David Burger, Meindert Danhof, Oscar Della Pasqua

Open access · bronzeAbstract read
In one paragraph

Article in British 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 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
7.4field-weighted citation impact, top 3% of its field
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

22 citing papers in PubMed, 41 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Clinical Pharmacology of Antibody-Drug Conjugates.Antibodies (Basel, Switzerland) · 2021
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Integration of PKPD relationships into benefit-risk analysis.British journal of clinical pharmacology · 2015
    Review
  11. Article
  12. Paediatric pharmacokinetics: key considerations.British journal of clinical pharmacology · 2015
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
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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

6 authors at 3 institutions in 3 countries.

Massimo CellaLACDR, Division of Pharmacology, Leiden University, Leiden, The Netherlands.
Wei Zhao
Evelyne Jacqz-Aigrain
David Burger
Meindert Danhof
Oscar Della Pasqua
Leiden University · NLInserm · FRRadboud University Medical Center · NL

Funding

Medical Research Council
6 · The paper itself

Abstract

aimsTo assess the predictive value of a model-based approach for dose selection across paediatric populations in early clinical drug development.

methodsAbacavir was selected as a paradigm compound using data across a wide age range. Abacavir pharmacokinetics (PK) in children were analysed separately from infants and toddlers. Two independent models were obtained, and systemic exposure (AUC) was then simulated across populations based on the estimates from each model. Drug exposures in infants and toddlers were predicted using pharmacokinetic parameter distributions obtained from children, and the other way around.

resultsThe pharmacokinetic models (a two-compartment PK model for infants and toddlers and a one compartment PK model for children) accurately described the exposure in the population from which they were built. However, neither model predicted exposure in a different population: in infants, the median AUC (95%(-) CI) was estimated at 7.03 (6.72, 7.48) µg ml(-1) h, whilst it was predicted at 5.75 (4.82, 6.26) µg ml(-1) h; in children, the estimated median AUC was 6.96 (5.85, 7.91) µg ml(-1) h, whilst the predicted value was 6.45 (5.80, 7.01) µg ml(-1) h.

conclusionsThese findings suggest that the assumption of an identical (linear or nonlinear) correlation between pharmacokinetic parameters and demographic factors may not hold true across age groups. Whilst the use of modelling enables accurate characterization of pharmacokinetic properties, extrapolations based on such parameter estimates may have limited value due to differences in the impact of developmental growth across populations.

Indexed as

Models, BiologicalAbacavirAge FactorsAnti-HIV AgentsArea Under CurveChildChild, PreschoolData Interpretation, StatisticalDideoxynucleosidesDrug ApprovalDrug EvaluationFemaleHumansInfantMaleAbacavirAnti-HIV AgentsDideoxynucleosides

Identifiers

PMID21501213
PMCPMC3175515
OpenAlexW1492009410

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.