Evidence map›Paper›PMID 33294979›Full record

ArticleBritish journal of clinical pharmacology2021

Constructing a representative in-silico population for paediatric simulations: Application to HIV-positive African children.

Roeland E Wasmann, Elin M Svensson, A Sarah Walker, Michelle N Clements, Paolo Denti

Open access · hybridAbstract read
In one paragraph

Article in British journal of clinical pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

20 citing papers in PubMed, 24 citations in OpenAlex.

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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

5 authors at 3 institutions in 4 countries.

Roeland E WasmannDivision of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa.ORCID 0000-0002-5769-8150
Elin M SvenssonDepartment of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-0093-6445
A Sarah WalkerMRC Clinical Trials Unit at UCL, London, UK.ORCID 0000-0002-0412-8509
Michelle N ClementsMRC Clinical Trials Unit at UCL, London, UK.ORCID 0000-0002-3442-3947
Paolo DentiDivision of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa.ORCID 0000-0001-7494-079X
MRC Clinical Trials Unit at UCL · GBUniversity of Cape Town · ZAUppsala University · SE

Funding

Medical Research Council MC_UU_00004/04Medical Research Council MC_UU_12023/22
6 · The paper itself

Abstract

aimsSimulations are an essential tool for investigating scenarios in pharmacokinetics-pharmacodynamics. The models used during simulation often include the effect of highly correlated covariates such as weight, height and sex, and for children also age, which complicates the construction of an in silico population. For this reason, a suitable and representative patient population is crucial for the simulations to produce meaningful results. For simulation in paediatric patients, international growth charts from the World Health Organization (WHO) and the Centers for Disease Control and Prevention (CDC) provide a reference, but these may not always be representative for specific populations, such as malnourished children with HIV or acutely unwell children.

methodsWe present a workflow to construct a virtual paediatric patient population using WHO and CDC growth charts, suggest piecewise linear functions to adjust the median of the growth charts by sex and age, and suggest visual diagnostics to compare with the target population. We applied this workflow in a population of 1206 HIV-positive African children, consisting of 19 742 observations with weight ranging from 3.8 to 79.7 kg, height from 55.5 to 180 cm, and an age between 0.40 and 18 years.

resultsBefore adjustment, the WHO and CDC charts produced weights and heights higher compared to the observed data. After applying our methodology, we could simulate weight, height, sex and age combinations in good agreement with the observed data.

conclusionThe methodology presented here is flexible and may be applied to other scenarios where WHO and CDC growth standards might not be appropriate. In addition we provide R scripts and a large ready-to-use paediatric population.

Indexed as

Body HeightHIV InfectionsAdolescentBody WeightChildChild, PreschoolComputer SimulationGrowth ChartsHumansInfantWorld Health Organizationmodellingpaediatric populationpharmacokinetics-pharmacodynamicssimulationunderweightweight-for-age

Identifiers

PMID33294979
PMCPMC8359354
OpenAlexW3112996786

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.