Evidence map›Paper›PMID 24440429›Full record

ReviewAdvanced drug delivery reviews2014

Pharmacokinetic/pharmacodynamic modelling approaches in paediatric infectious diseases and immunology.

Charlotte I S Barker, Eva Germovsek, Rollo L Hoare, Jodi M Lestner, Joanna Lewis, Joseph F Standing

Open access · hybridAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Advanced drug delivery reviews, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  4. Use of Antibiotics in Preterm Newborns.Antibiotics (Basel, Switzerland) · 2022
    Review
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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 2 institutions in 1 country.

Charlotte I S BarkerPaediatric Infectious Diseases Research Group, Division of Clinical Sciences, St George's, University of London, Cranmer Terrace, London SW17 0RE, UK; Infectious Diseases and Microbiology Unit, University College London, Institute of Child Health, London WC1N 1EH, UK.
Eva GermovsekInfectious Diseases and Microbiology Unit, University College London, Institute of Child Health, London WC1N 1EH, UK.
Rollo L HoareInfectious Diseases and Microbiology Unit, University College London, Institute of Child Health, London WC1N 1EH, UK; CoMPLEX, University College London, Physics Building, Gower Street, London WC1E 6BT, UK.
Jodi M LestnerPaediatric Infectious Diseases Research Group, Division of Clinical Sciences, St George's, University of London, Cranmer Terrace, London SW17 0RE, UK; Faculty of Medicine, Imperial College London, London, UK.
Joanna LewisInfectious Diseases and Microbiology Unit, University College London, Institute of Child Health, London WC1N 1EH, UK; CoMPLEX, University College London, Physics Building, Gower Street, London WC1E 6BT, UK.
Joseph F StandingInfectious Diseases and Microbiology Unit, University College London, Institute of Child Health, London WC1N 1EH, UK; CoMPLEX, University College London, Physics Building, Gower Street, London WC1E 6BT, UK. Electronic address: j.standing@ucl.ac.uk.
University College London · GBImperial College London · GB

Funding

Medical Research Council G1002305
6 · The paper itself

Abstract

Pharmacokinetic/pharmacodynamic (PKPD) modelling is used to describe and quantify dose-concentration-effect relationships. Within paediatric studies in infectious diseases and immunology these methods are often applied to developing guidance on appropriate dosing. In this paper, an introduction to the field of PKPD modelling is given, followed by a review of the PKPD studies that have been undertaken in paediatric infectious diseases and immunology. The main focus is on identifying the methodological approaches used to define the PKPD relationship in these studies. The major findings were that most studies of infectious diseases have developed a PK model and then used simulations to define a dose recommendation based on a pre-defined PD target, which may have been defined in adults or in vitro. For immunological studies much of the modelling has focused on either PK or PD, and since multiple drugs are usually used, delineating the relative contributions of each is challenging. The use of dynamical modelling of in vitro antibacterial studies, and paediatric HIV mechanistic PD models linked with the PK of all drugs, are emerging methods that should enhance PKPD-based recommendations in the future.

Indexed as

Models, BiologicalAnimalsAnti-Infective AgentsChildCommunicable DiseasesHematopoietic Stem Cell TransplantationHumansPediatricsAnti-Infective AgentsAntibacterialAntifungalAntimicrobialAntiviral (and antiretrovirals)HIV viral and T-cell dynamicsImmune reconstitutionNon-linear mixed effects (NLME)PaediatricsPharmacokinetics/pharmacodynamics (PKPD)

Identifiers

PMID24440429
PMCPMC4076844
OpenAlexW2171642196

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.