Evidence map›Paper›PMID 39681814›Full record

SynthesisEuropean journal of drug metabolism and pharmacokinetics2025

Assessment of Piperacillin-Tazobactam Population Pharmacokinetic Models in Neonates: An External Validation.

Bhim Bahadur Chaudhari, Jaya Shree Dilli Batcha, Arun Prasath Raju, Saikumar Matcha, Leslie E Lewis, Sudheer Moorkoth, Surulivelrajan Mallayasamy

Abstract readSystematic ReviewValidation Study
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In one paragraph

Synthesis in European journal of drug metabolism and pharmacokinetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

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4 · The record

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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

7 authors.

Bhim Bahadur ChaudhariDepartment of Quality Assurance, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, India.
Jaya Shree Dilli BatchaDepartment of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, India.
Arun Prasath RajuDepartment of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, India.
Saikumar MatchaTitus family Department of Clinical Pharmacy, Alfred E. Mann school of pharmacy and pharmaceutical sciences, University of Southern California, Los Angeles, USA.
Leslie E LewisDepartment of Paediatrics, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India.
Sudheer MoorkothDepartment of Quality Assurance, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, India.
Surulivelrajan MallayasamyDepartment of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, India. msv.rajan@manipal.edu.ORCID http://orcid.org/0000-0003-2568-5096

Funding

All India Institute of Technical Education (AICTE/NDF/PhD/2019/1-6389564801)Manipal Academy of Higher Education (IMF-NDF/2019-200600003)
6 · The paper itself

Abstract

BACKGROUND AND

objectiveNeonatal pharmacotherapy has gained attention from clinicians and regulatory agencies for optimizing the dosage of the drug which improves therapeutic outcomes in this special population. Piperacillin-tazobactam antibiotic is commonly used as a therapeutic option for treatment of severe infection in neonatal intensive care units. There are few population pharmacokinetic (PopPK) studies of piperacillin and tazobactam published for this specific population and which were not validated in other study settings. The aim of this study was to externally evaluate the published population pharmacokinetic models for piperacillin-tazobactam.

methodsA systematic review was conducted through Scopus, PubMed, and Embase databases to identify PopPK models. Clinical data collected in neonates treated with piperacillin-tazobactam were used for evaluation of these models. Various prediction-based metrics were used for assessing the bias and precision of PopPK models using individual predictions.

resultsThree PopPK models were identified for external evaluation. A total of 53 plasma samples were collected from 46 neonates admitted in the neonatal intensive care unit. The PopPK models reported by Cohen-Wolkowiez et al. for piperacillin and Li et al. for tazobactam were able to predict well for our clinical data.

conclusionThe PopPK models by Cohen-Wolkowiez et al. and Li et al. predicted our data well for piperacillin and tazobactam with the lower relative median absolute predictive error (rMAPE) of 8.61% and 16.48% and relative root mean square error (rRMSE) of 0.01 and 0.03, respectively. External evaluation of the published PopPK models of piperacillin and tazobactam resulted in enhancing their credibility to be implemented in clinical practice.

Indexed as

Anti-Bacterial AgentsModels, BiologicalPiperacillin, Tazobactam Drug CombinationHumansInfant, NewbornIntensive Care Units, NeonatalPenicillanic AcidPiperacillinAnti-Bacterial AgentsPenicillanic AcidPiperacillinPiperacillin, Tazobactam Drug Combination

Identifiers

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Textmetadata
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Registered trials

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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 Socratic graph.