Evidence map›Paper›PMID 24599342›Full record

ArticleCPT: pharmacometrics & systems pharmacology2014

Population pharmacokinetics of azithromycin in whole blood, peripheral blood mononuclear cells, and polymorphonuclear cells in healthy adults.

M R Sampson, T P Dumitrescu, K L R Brouwer, V D Schmith

Open access · goldAbstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 22% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
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  11. Scrub Typhus and the Misconception of Doxycycline Resistance.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
    Review
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  16. CPT: Pharmacometrics & Systems Pharmacology Publishes Its 100th Article.CPT: pharmacometrics & systems pharmacology · 2014
    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

4 authors at 3 institutions in 2 countries.

M R SampsonDivision of Pharmacotherapy and Experimental Therapeutics, University of North Carolina Eshelman School of Pharmacy, Chapel Hill, North Carolina, USA.
T P Dumitrescu1] Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina Eshelman School of Pharmacy, Chapel Hill, North Carolina, USA [2] Clinical Pharmacology Modeling and Simulation, GlaxoSmithKline, Research Triangle Park, North Carolina, USA.
K L R BrouwerDivision of Pharmacotherapy and Experimental Therapeutics, University of North Carolina Eshelman School of Pharmacy, Chapel Hill, North Carolina, USA.
V D SchmithClinical Pharmacology Modeling and Simulation, GlaxoSmithKline, Research Triangle Park, North Carolina, USA.
University of North Carolina at Chapel Hill · USGlaxoSmithKline (United States) · USResearch Triangle Park Foundation · US

Funding

UNC-Duke Collaborative Clinical Pharmacology Postdoctoral Training Program-Evaluation SupplementT32GM086330 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KIM L.R. BROUWER, Daniel Gonzalez · 2011 to 2026
$8.5M
ALTERED HEPATIC DISPOSITION OF ANIONIC DRUGS-MECHANISMSR01GM041935 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BROUWER, KIM L.R. · 1997 to 2016
$6.5M
NIGMS NIH HHS R01 GM041935NIGMS NIH HHS T32 GM086330
6 · The paper itself

Abstract

Azithromycin's extensive distribution to proinflammatory cells, including peripheral blood mononuclear cells (PBMCs) and polymorphonuclear cells (PMNs), may be important to its antimicrobial and anti-inflammatory properties. The need to simultaneously predict azithromycin concentrations in whole blood ("blood"), PBMCs, and PMNs motivated this investigation. A single-dose study in 20 healthy adults was conducted, and nonlinear mixed effects modeling was used to simultaneously describe azithromycin concentrations in blood, PBMCs, and PMNs (simultaneous PK model). Data were well described by a four-compartment mamillary model. Apparent central clearance and volume of distribution estimates were 67.3 l/hour and 336 l (interindividual variability of 114 and 122%, respectively). Bootstrapping and visual predictive checks showed adequate model performance. Azithromycin concentrations in blood, PBMCs, and PMNs from external studies of healthy adults and cystic fibrosis patients were within the 5th and 95th percentiles of model simulations. This novel empirical model can be used to predict azithromycin concentrations in blood, PBMCs, and PMNs with different dosing regimens.

Identifiers

PMID24599342
PMCPMC4039392
OpenAlexW2071145530

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.