Evidence map›Paper›PMID 41180609›Full record

ReviewInfection and drug resistance2025

A Comprehensive Analysis of Teicoplanin Population Pharmacokinetic Models in Pediatric Populations: Age-Dependent Variability and Implications for Dose Optimization.

Biao Yu, Ying Wan, Wenbo Ji, Juehui Mao, Runcong Zhang, Zhuowei Shen, Yimiao Hu, Heping Cai

Abstract readReview
In one paragraph

Review in Infection and drug resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Biao Yu *Department of Pharmacy, Anhui Provincial Children's Hospital, Hefei, Anhui, 230000, People's Republic of China.ORCID 0009-0003-8578-0113
Ying Wan *Department of Pharmacy, Anhui Provincial Children's Hospital, Hefei, Anhui, 230000, People's Republic of China.
Wenbo JiDepartment of Pharmacy, Anhui Provincial Children's Hospital, Hefei, Anhui, 230000, People's Republic of China.
Juehui MaoSchool of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, Jiangsu, 210000, People's Republic of China.ORCID 0000-0002-4338-7984
Runcong ZhangDepartment of Pharmacy, Changxing People's Hospital, Changxing, Zhejiang, 313100, People's Republic of China.
Zhuowei ShenCenter for Clinical Pharmacy, Cancer Center, Department of Pharmacy, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, 310000, People's Republic of China.
Yimiao HuDepartment of Cardiothoracic Surgery, Fuyang Hospital of Anhui Medical University, Fuyang, Anhui, 236000, People's Republic of China.
Heping CaiDepartment of Pharmacy, Anhui Provincial Children's Hospital, Hefei, Anhui, 230000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Teicoplanin (TEC) is widely used for treating invasive infections caused by Gram-positive bacteria. Due to its high pharmacokinetic variability, several population pharmacokinetic (PPK) studies have been performed to identify factors contributing to the variability. This review aims to provide a comprehensive overview of published PPK studies and explore potential covariates. Patients and Methods: We systematically searched the PubMed, Web of Science, and Embase databases and compared study characteristics, model parameters, and covariate effects. Visual predictive distributions were used to compare different models. Forest plots and Monte Carlo simulations were used to assess the influence of covariates and probability of target attainment (PTA) against methicillin-resistant Results: A total of eight PPK studies involving preterm infants, neonates, infants, children, and adolescents were finally included. The median weight-normalized clearance (CL) in adolescents was 0.0116 L/h/kg, 14.7% and 16.0% lower than that in infants and children, respectively, and significantly approximately 22.7% lower than that in neonates. Key covariates impacting TEC clearance included body weight, postmenstrual age (PMA), renal function parameters, albumin levels, and continuous kidney replacement therapy (CKRT) status. Monte Carlo simulations indicated that current dosing regimens may be inadequate, particularly when treating MRSA with minimum inhibitory concentration (MIC) = 2 mg/L, as the PTA for AUC Conclusion: TEC dosing in pediatric patients should be individualized, taking into account factors like age, weight, and renal function. Moreover, further population studies are essential to be conducted to clarify the dose-exposure-response relationship of TEC. PROSPERO Registration: CRD420251012884.

Indexed as

dosage optimizationnonlinear mixed-effect modelpediatricpopulation pharmacokineticsteicoplanin

Identifiers

PMID41180609
PMCPMC12577477

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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.