ArticleAntimicrobial agents and chemotherapy2020
Population Pharmacokinetics of Teicoplanin in Preterm and Term Neonates: Is It Time for a New Dosing Regimen?
Article in Antimicrobial agents and chemotherapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.
- Pharmacokinetics of teicoplanin in paediatric patients-A systematic review of current literature.British journal of clinical pharmacology · 2026Pooled it
- Clinical practice guidelines for therapeutic drug monitoring of teicoplanin: a consensus review by the Japanese Society of Chemotherapy and the Japanese Society of Therapeutic Drug Monitoring.The Journal of antimicrobial chemotherapy · 2022Guideline
- Population pharmacokinetics and dosing optimization of teicoplanin in renal transplant patients.Antimicrobial agents and chemotherapy · 2025Article
- Impact of Fungal Co-Infection on Teicoplanin Plasma Trough Concentration in Critically Ill Adults: A Novel Consideration for Dose Adjustment.Drug design, development and therapy · 2025Article
- A Comprehensive Analysis of Teicoplanin Population Pharmacokinetic Models in Pediatric Populations: Age-Dependent Variability and Implications for Dose Optimization.Infection and drug resistance · 2025Review
- Developmental Pharmacokinetics of Antibiotics Used in Neonatal ICU: Focus on Preterm Infants.Biomedicines · 2023Review
- Population pharmacokinetic analysis and dosing regimen optimization of teicoplanin in critically ill patients with sepsis.Frontiers in pharmacology · 2023Article
- Use of Antibiotics in Preterm Newborns.Antibiotics (Basel, Switzerland) · 2022Review
- Population Pharmacokinetics of Unbound and Total Teicoplanin in Critically Ill Pediatric Patients.Clinical pharmacokinetics · 2021Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Our objective was to develop a population pharmacokinetic (PK) model in order to evaluate the currently recommended dosing regimen in term and preterm neonates. By using an optimal design approach, a prospective PK study was designed and implemented in 60 neonates with postmenstrual ages (PMA) of 26 to 43 weeks. A loading dose of 16 mg/kg was administered at day 1, followed by a maintenance dose of 8 mg/kg daily. Plasma concentrations were quantified by high-pressure liquid chromatography-mass spectrometry. Population PK (popPK) analysis was performed using NONMEM software. Monte-Carlo (MC) simulations were performed to evaluate currently recommended dosing based on a pharmacodynamic index of area under the concentration-time curve (AUC)/MIC ratio of ≥400. A two-compartment model with linear elimination best described the data by the following equations: clearance (CL) = 0.0227 × (weight [wt]/1,765)
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.