Evidence map›Paper›PMID 27270281›Full record

SynthesisAntimicrobial agents and chemotherapy2016

Development and Evaluation of a Gentamicin Pharmacokinetic Model That Facilitates Opportunistic Gentamicin Therapeutic Drug Monitoring in Neonates and Infants.

Eva Germovsek, Alison Kent, Tuuli Metsvaht, Irja Lutsar, Nigel Klein, Mark A Turner, Mike Sharland, Elisabet I Nielsen, Paul T Heath, Joseph F Standing

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in Antimicrobial agents and chemotherapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
7.6field-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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 58 citations in OpenAlex.

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  10. External Evaluation of a Plasma and Cerebrospinal Fluid Population Pharmacokinetics Model of Meropenem in Infants.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2026
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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

10 authors at 5 institutions in 3 countries.

Eva GermovsekInflammation, Infection and Rheumatology Section, Institute of Child Health, University College London, London, United Kingdom eva.germovsek.11@ucl.ac.uk.
Alison KentPaediatric Infectious Diseases Research Group, Institute for Infection and Immunity, St. George's, University of London, Cranmer Terrace, London, United Kingdom.
Tuuli MetsvahtDepartment of Microbiology, University of Tartu, Tartu, Estonia.
Irja LutsarDepartment of Microbiology, University of Tartu, Tartu, Estonia.
Nigel KleinInflammation, Infection and Rheumatology Section, Institute of Child Health, University College London, London, United Kingdom.
Mark A TurnerDepartment of Women's and Children's Health, Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom.
Mike SharlandPaediatric Infectious Diseases Research Group, Institute for Infection and Immunity, St. George's, University of London, Cranmer Terrace, London, United Kingdom.
Elisabet I NielsenDepartment of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
Paul T HeathPaediatric Infectious Diseases Research Group, Institute for Infection and Immunity, St. George's, University of London, Cranmer Terrace, London, United Kingdom.
Joseph F StandingInflammation, Infection and Rheumatology Section, Institute of Child Health, University College London, London, United Kingdom.
St George's, University of London · GBUniversity College London · GBUniversity of Tartu · EEUniversity of Liverpool · GBUppsala University · SE

Funding

Resource Facility for Population KineticsP41EB001975 · NIBIB · UNIVERSITY OF WASHINGTON · PI FOSTER, DAVID M · 2003 to 2007
$4.9M
Medical Research Council G1002305Medical Research Council MR/M008665/1NIBIB NIH HHS P41 EB001975
6 · The paper itself

Abstract

Trough gentamicin therapeutic drug monitoring (TDM) is time-consuming, disruptive to neonatal clinical care, and a patient safety issue. Bayesian models could allow TDM to be performed opportunistically at the time of routine blood tests. This study aimed to develop and prospectively evaluate a new gentamicin model and a novel Bayesian computer tool (neoGent) for TDM use in neonatal intensive care. We also evaluated model performance for predicting peak concentrations and the area under the concentration-time curve from time 0 h to time t h (AUC0- t). A pharmacokinetic meta-analysis was performed on pooled data from three studies (1,325 concentrations from 205 patients). A 3-compartment model was used with the following covariates: allometric weight scaling, postmenstrual and postnatal age, and serum creatinine concentration. Final parameter estimates (standard errors) were as follows: clearance, 6.2 (0.3) liters/h/70 kg of body weight; central volume (V), 26.5 (0.6) liters/70 kg; intercompartmental disposition (Q), 2.2 (0.3) liters/h/70 kg; peripheral volume V2, 21.2 (1.5) liters/70 kg; intercompartmental disposition (Q2), 0.3 (0.05) liters/h/70 kg; peripheral volume V3, 148 (52.0) liters/70 kg. The model's ability to predict trough concentrations from an opportunistic sample was evaluated in a prospective observational cohort study that included data from 163 patients and 483 concentrations collected in five hospitals. Unbiased trough predictions were obtained; the median (95% confidence interval [CI]) prediction error was 0.0004 (-1.07, 0.84) mg/liter. Results also showed that peaks and AUC0- t values could be predicted (from one randomly selected sample) with little bias but relative imprecision, with median (95% CI) prediction errors being 0.16 (-4.76, 5.01) mg/liter and 10.8 (-24.9, 62.2) mg · h/liter, respectively. neoGent was implemented in R/NONMEM and in the freely available TDMx software.

Indexed as

Anti-Bacterial AgentsBayes TheoremDrug MonitoringFemaleGentamicinsHumansInfantInfant, NewbornMaleProspective StudiesAnti-Bacterial AgentsGentamicins

Identifiers

PMID27270281
PMCPMC4958175
OpenAlexW2409027351

What OpenQuestion holds

Textmetadata
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.