Evidence map›Paper›PMID 31587145›Full record

Trial reportClinical pharmacokinetics2020

Preterm Physiologically Based Pharmacokinetic Model. Part II: Applications of the Model to Predict Drug Pharmacokinetics in the Preterm Population.

Khaled Abduljalil, Xian Pan, Amita Pansari, Masoud Jamei, Trevor N Johnson

Abstract readClinical TrialComparative Study
PubMed Publisher
In one paragraph

Trial report in Clinical pharmacokinetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–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

24 citing papers in PubMed.

  1. Review
  2. Article
  3. Developmental age and clinical illness driveFrontiers in pharmacology · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Use of Antibiotics in Preterm Newborns.Antibiotics (Basel, Switzerland) · 2022
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Ontogeny of Drug-Metabolizing Enzymes.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Khaled AbduljalilCertara UK Limited, Simcyp Division, Level 2-Acero, 1 Concourse Way, Sheffield, S1 2BJ, UK. khaled.abduljalil@certara.com.ORCID http://orcid.org/0000-0003-0725-9237
Xian PanCertara UK Limited, Simcyp Division, Level 2-Acero, 1 Concourse Way, Sheffield, S1 2BJ, UK.
Amita PansariCertara UK Limited, Simcyp Division, Level 2-Acero, 1 Concourse Way, Sheffield, S1 2BJ, UK.
Masoud JameiCertara UK Limited, Simcyp Division, Level 2-Acero, 1 Concourse Way, Sheffield, S1 2BJ, UK.
Trevor N JohnsonCertara UK Limited, Simcyp Division, Level 2-Acero, 1 Concourse Way, Sheffield, S1 2BJ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreterm neonates are usually not part of a traditional drug development programme, however they are frequently administered medicines. Developing modelling and simulation tools, such as physiologically based pharmacokinetic (PBPK) models that incorporate developmental physiology and maturation of drug metabolism, can be used to predict drug exposure in this group of patients, and may help to optimize drug dose adjustment.

objectiveThe aim of this study was to assess and verify the predictability of a preterm PBPK model using compounds that undergo diverse renal and/or hepatic clearance based on the knowledge of their disposition in adults.

methodsA PBPK model was developed in the Simcyp Simulator V17 to predict the pharmacokinetics (PK) of drugs in preterm neonates. Drug parameters for alfentanil, midazolam, caffeine, ibuprofen, gentamicin and vancomycin were collated from the literature. Predicted PK parameters and profiles were compared against the observed data.

resultsThe preterm PBPK model predicted the PK changes of the six compounds using ontogeny functions for cytochrome P450 (CYP) 1A2, CYP2C9 and CYP3A4 after oral and intravenous administrations. For gentamicin and vancomycin, the maturation of renal function was able to predict the exposure of these two compounds after intravenous administration. All PK parameter predictions were within a twofold error criteria.

conclusionWhile the developed preterm model for the prediction of PK behaviour in preterm patients is not intended to replace clinical studies, it can potentially help with deciding on first-time dosing in this population and study design in the absence of clinical data.

Indexed as

Administration, IntravenousAdministration, OralAlfentanilAnti-Bacterial AgentsCaffeineComputer SimulationCyclooxygenase InhibitorsCytochrome P-450 CYP1A2Cytochrome P-450 CYP3AFemaleGentamicinsGestational AgeHumansHypnotics and SedativesIbuprofenInfant, NewbornAlfentanilAnti-Bacterial AgentsCaffeineCyclooxygenase InhibitorsCytochrome P-450 CYP1A2Cytochrome P-450 CYP3AGentamicinsHypnotics and SedativesIbuprofenMidazolamNarcoticsVancomycin

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Registered trials

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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.