Evidence map›Paper›PMID 40636323›Full record

SynthesisDrug design, development and therapy2025

Significant Predictors of Azithromycin in Population Pharmacokinetic Analysis: A Systematic Review.

Runcong Zhang, Yuebin Fang, Yinhui Wang, Jing Fan, Weiming Yin, Weibin Fan, Yuetian Yu, Bin Lin

Abstract readSystematic Review
In one paragraph

Synthesis in Drug design, development and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Putative azithromycin resistance mutations inAntimicrobial agents and chemotherapy · 2026
    Article
  2. Article
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.

Runcong Zhang *Department of Pharmacy, Changxing People's Hospital, Changxing, Zhejiang, People's Republic of China.
Yuebin Fang *Department of General Practice, Changxing People's Hospital, Changxing, Zhejiang, People's Republic of China.
Yinhui WangDepartment of Pharmacy, Changxing People's Hospital, Changxing, Zhejiang, People's Republic of China.
Jing FanDepartment of Pharmacy, Changxing People's Hospital, Changxing, Zhejiang, People's Republic of China.
Weiming YinDepartment of Pharmacy, Changxing People's Hospital, Changxing, Zhejiang, People's Republic of China.
Weibin FanDepartment of Pharmacy, Changxing People's Hospital, Changxing, Zhejiang, People's Republic of China.
Yuetian YuKey Laboratory of Intelligent Pharmacy and Individualized Therapy of Huzhou, Changxing, Zhejiang, People's Republic of China.
Bin LinDepartment of Pharmacy, Changxing People's Hospital, Changxing, Zhejiang, People's Republic of China.ORCID 0000-0003-2222-8228

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Azithromycin is widely used to treat infections caused by susceptible bacteria and is the first-line treatment for mycoplasma pneumonia in pediatric patients. However, in clinical practice, large between-patient variability has been observed. Several population pharmacokinetic studies have been conducted to identify covariates and guide individualized therapy. This study evaluated published population pharmacokinetic studies and explored the significant covariates. The PubMed, Embase, and Web of science databases were systematically searched from their inception to 30 May 2024. Information on study design, characteristics, and final model parameters was extracted and compared. Time-concentration curves and forest plots were used to examine pharmacokinetic characteristics and identify covariates, respectively. Fifteen population pharmacokinetic studies were included in the review: three involved preterm neonates, two involved children, two involved pregnant/non-pregnant women, and eight involved adults. The median apparent clearance value was higher for adults (1.66 L/h/kg) than for children (1.28 L/h/kg) and preterm neonates (0.187 L/h/kg). For all populations, body weight significantly influenced the apparent clearance and distribution volume. In children, age and liver function influenced azithromycin clearance; whereas for women, clearance was reduced by 38% in case of pregnancy, non-African descent, and oral contraceptive use. Azithromycin was shown to distribute across plasma, tissues, and cells, with notable concentration differences. The azithromycin dose regimen is determined based on body weight. However, for children and women, additional predictors should be considered for individualized therapy. Further azithromycin population studies of the dose-exposure-response relationship are needed to achieve accurate dose adjustments.

Indexed as

Anti-Bacterial AgentsAzithromycinAdultChildFemaleHumansInfant, NewbornPregnancyAnti-Bacterial AgentsAzithromycinazithromycinindividualized drug therapynonlinear mixed effect modelpopulation pharmacokinetics

Identifiers

PMID40636323
PMCPMC12238140

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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 OpenQuestion graph.