Evidence map›Paper›PMID 24027065›Full record

ArticleClinical pharmacokinetics2013

Amikacin maturation model as a marker of renal maturation to predict glomerular filtration rate and vancomycin clearance in neonates.

Wei Zhao, Valérie Biran, Evelyne Jacqz-Aigrain

Abstract read
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Article in Clinical pharmacokinetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
7.9field-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

17 citing papers in PubMed, 32 citations in OpenAlex.

  1. Recent advances in the ontogeny of drug disposition.British journal of clinical pharmacology · 2022
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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

3 authors at 3 institutions in 1 country.

Wei ZhaoDepartment of Pediatric Pharmacology and Pharmacogenetics, Hôpital Robert Debré, APHP, Clinical Investigation Center CIC9202, INSERM, 48 Boulevard Sérurier, 75935, Paris Cedex 19, France, wei.zhao@rdb.aphp.fr.
Valérie Biran
Evelyne Jacqz-Aigrain
Assistance Publique – Hôpitaux de Paris · FRHôpital Robert-Debré · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveAmikacin clearance has recently been proposed as a marker of renal maturation in neonates. However, the predictive value of this marker is still unknown. The objective of the present exploratory study was to evaluate the predictive performance of renal maturation model derived from amikacin to predict the glomerular filtration rate (GFR) and vancomycin clearance in neonates.

methodsThe GFR and vancomycin clearance in neonates were predicted using a maturation model derived from amikacin via estimation and simulation in a cohort of 116 neonates using non-linear mixed-effects modeling NONMEM® software.

resultsOur results demonstrate good correlations between predicted and observed GFR and vancomycin clearance in neonates. The square of the correlation coefficient, and means of the prediction error (2.5th-97.5th percentiles) and absolute prediction error (2.5th-97.5th percentiles) are 0.96, 1.2 % (-39.7 to 30.0 %) and 12.3 % (0.4-39.7 %), respectively, for GFR, and 0.97, -11.3 % (-38.2 to 15.4 %) and 14.0 % (0.5-38.2 %), respectively, for vancomycin. The prediction error is not significantly correlated with age.

conclusionAn amikacin maturation model can precisely reflect maturation of glomerular filtration and thus predict the dosage regimens of other renally excreted drugs by glomerular filtration in neonates.

Indexed as

Glomerular Filtration RateModels, BiologicalAmikacinAnti-Bacterial AgentsFemaleHumansInfantInfant, NewbornKidneyMaleVancomycinAmikacinAnti-Bacterial AgentsVancomycin

Identifiers

PMID24027065
OpenAlexW2010272667

What OpenQuestion holds

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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.