Evidence map›Paper›PMID 28760897›Full record

ArticleAntimicrobial agents and chemotherapy2017

Tools for the Individualized Therapy of Teicoplanin for Neonates and Children.

V Ramos-Martín, M N Neely, K Padmore, M Peak, M W Beresford, M A Turner, S Paulus, J López-Herce, W W Hope

Open access · hybridAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
0.8field-weighted citation impact, top 27% 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Guideline
  4. Article
  5. Article
  6. Use of Antibiotics in Preterm Newborns.Antibiotics (Basel, Switzerland) · 2022
    Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. 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

9 authors at 5 institutions in 3 countries.

V Ramos-MartínAntimicrobial Pharmacodynamics and Therapeutics, Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom.
M N NeelyLaboratory of Applied Pharmacokinetics and Bioinformatics, The Saban Research Institute and Division of Pediatric Infectious Diseases, Children's Hospital Los Angeles, University of Southern California, Los Angeles, California.
K PadmoreAlder Hey Children's NHS Foundation Trust, Liverpool, United Kingdom.
M PeakAlder Hey Children's NHS Foundation Trust, Liverpool, United Kingdom.
M W BeresfordAlder Hey Children's NHS Foundation Trust, Liverpool, United Kingdom.
M A TurnerLiverpool Women's NHS Foundation Trust, Liverpool, United Kingdom.
S PaulusAlder Hey Children's NHS Foundation Trust, Liverpool, United Kingdom.
J López-HerceServicio de Cuidados Intensivos Pediátricos, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
W W HopeAntimicrobial Pharmacodynamics and Therapeutics, Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom william.hope@liverpool.ac.uk.
Alder Hey Children's NHS Foundation Trust · GBUniversity of Liverpool · GBChildren's Hospital of Los Angeles · USLiverpool Womens NHS Foundation Trust · GBUniversidad Complutense de Madrid · ES

Funding

Populaton Pharmacokinetic Modeling and Optimal ControlR01GM068968 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NEELY, MICHAEL N. · 2003 to 2015
$3.9M
Ontogeny of Voriconazole Pharmaockinetics and MetabolismR01HD070886 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NEELY, MICHAEL N. · 2012 to 2016
$2.5M
Arthritis Research UK 20417Arthritis Research UK 20747NICHD NIH HHS R01 HD070886NIGMS NIH HHS R01 GM068968
6 · The paper itself

Abstract

The aim of this study was to develop a population pharmacokinetic (PK) model for teicoplanin across childhood age ranges to be used as Bayesian prior information in the software constructed for individualized therapy. We developed a nonparametric population model fitted to PK data from neonates, infants, and older children. We then implemented this model in the BestDose multiple-model Bayesian adaptive control algorithm to show its clinical utility. It was used to predict the dosages required to achieve optimal teicoplanin predose targets (15 mg/liter) from day 3 of therapy. We performed individual simulations for an infant and a child from the original population, who provided early first dosing interval concentration-time data. An allometric model that used weight as a measure of size and that also incorporated renal function using the estimated glomerular filtration rate (eGFR), or the ratio of postnatal age (PNA) to serum creatinine concentration (SCr) for infants <3 months old, best described the data. The median population PK parameters were as follows: elimination rate constant (Ke) = 0.03 · (wt/70)

Indexed as

AdolescentAlgorithmsAnti-Bacterial AgentsBayes TheoremChildChild, PreschoolCreatinineFemaleHumansInfantInfant, NewbornMaleMethicillin-Resistant Staphylococcus aureusMicrobial Sensitivity TestsMonte Carlo MethodSoftwareAnti-Bacterial AgentsCreatinineTeicoplaninchildrenindividualized therapypopulation pharmacokineticsteicoplanin

Identifiers

PMID28760897
PMCPMC5610524
OpenAlexW2741991404

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.