SynthesisAnnals of medicine2025
Influential predictors of azithromycin pharmacokinetics: a systematic review of population pharmacokinetics.
Synthesis in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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Who cites it
1 citing paper in PubMed.
- Supply Chain Vulnerabilities in First-Line Treatments for Sexually Transmitted Infections: Implications for U.S. Public Health Preparedness.medRxiv : the preprint server for health sciences · 2026Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionAzithromycin exhibits significant pharmacokinetic variability. Thus, dosage optimization is crucial for optimal therapeutic outcomes. This systematic review aims to analyze the population pharmacokinetics (PopPK) of azithromycin and identify key covariates influencing its pharmacokinetics.
methodsA systematic search was conducted in PubMed, Scopus, and ScienceDirect databases. Azithromycin PopPK studies conducted using a nonlinear mixed-effects approach in humans were included. Studies published in non-English or non-Thai languages were excluded. Moreover, studies with insufficient information, review articles, or registered protocols were also excluded. The reporting quality of the included studies was assessed using adapted guidelines from a previously published framework. Data on study designs, population characteristics, pharmacokinetic parameters, and influential predictors were summarized. Forest plots were used to determine the influence of covariates on azithromycin pharmacokinetics.
resultsFifteen studies were included. The volume of distribution (
conclusionsSignificant predictors for azithromycin pharmacokinetics were identified in this review. However, the limited external validation of most models restricts their clinical utility. Further research is necessary to confirm the models' external validity. PROSPERO REGISTRATION: CRD42024609484.
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