Evidence map›Paper›PMID 30357610›Full record

Trial reportEuropean journal of drug metabolism and pharmacokinetics2019

Population Pharmacokinetic Modeling of Azithromycin Eyedrops in Tears Following Single-Dose Topical Administration in Healthy Volunteers.

Feng Wu, Xiuli Zhao, Xingang Li, Yimin Cui

Abstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in European journal of drug metabolism and pharmacokinetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 2 pooled it
–field-weighted citation impact, top 89% of its field
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, 2 syntheses or guidelines pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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

4 authors at 3 institutions in 1 country.

Feng WuDepartment of Pharmacy, Peking University First Hospital, Beijing, China.
Xiuli ZhaoNational Institute of Drug Clinical Trial, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Xingang LiDepartment of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yimin CuiDepartment of Pharmacy, Peking University First Hospital, Beijing, China. cui.pharm@pkufh.com.ORCID http://orcid.org/0000-0002-4186-1005
Beijing Tongren Hospital · CNCapital Medical University · CNPeking University · CN

Funding

Chinese National Major Scientific and Technological Special Project for Significant New Drug Development 2011ZX09302-007-05
6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe disposition of azithromycin in the human eye following topical administration has not been fully explored. Population pharmacokinetic (PopPK) modeling can allow useful conclusions to be drawn based on limited tear sampling data. The aim of this study was therefore to develop and evaluate a PopPK model of azithromycin eyedrops in tears, investigate typical model parameters, and identify potential covariates following single-dose ocular instillation.

methodsA total of 84 tear samples were obtained from 42 healthy volunteers at seven time points over 24 h following topical administration of azithromycin eyedrops (2.5 mL/25 mg). Azithromycin concentrations in the tears were determined using a validated LC-MS/MS assay. PopPK analysis was performed using nonlinear mixed-effects modeling. Intraocular pressure, tear secretion measurement, age, and gender were evaluated as possible covariates. Bootstrap and visual predictive checks were used simultaneously to evaluate the PopPK model. The dosage regimen was further estimated based on Monte Carlo simulation and the area under the curve/minimal inhibitory concentration.

resultsA linear two-compartment first-order elimination model was found to best describe the pharmacokinetic profile of azithromycin in tears. None of the covariates had a significant influence on the typical model parameters. The final PopPK model was demonstrated to be suitable and effective according to bootstrap and visual predictive checks. Twice-daily instillation of azithromycin eyedrops would appear to provide the required antibacterial activity.

conclusionA proposed linear two-compartment PopPK model of azithromycin eyedrops was found to be effective at describing the disposition of azithromycin in tears after ocular instillation.

Indexed as

Anti-Bacterial AgentsAzithromycinEyeModels, BiologicalOphthalmic SolutionsTearsAdolescentAdultBiological AvailabilityFemaleHealthy VolunteersHumansMaleMiddle AgedRandom AllocationTime FactorsAnti-Bacterial AgentsAzithromycinOphthalmic Solutions

Identifiers

PMID30357610
OpenAlexW2898487073

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.