Evidence map›Paper›PMID 32511867›Full record

ArticleCPT: pharmacometrics & systems pharmacology2020

Predictions of Systemic, Intracellular, and Lung Concentrations of Azithromycin With Different Dosing Regimens Used in COVID-19 Clinical Trials.

Jim H Hughes, Kevin Sweeney, Sima Ahadieh, Daniele Ouellet

Open access · goldAbstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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 1 institution in 1 country.

Jim H HughesPfizer Global Research and Development, Groton, Connecticut, USA.
Kevin SweeneyPfizer Global Research and Development, Groton, Connecticut, USA.
Sima AhadiehPfizer Global Research and Development, Groton, Connecticut, USA.
Daniele OuelletPfizer Global Research and Development, Groton, Connecticut, USA.
Pfizer (United States) · US

Funding

Pfizer
6 · The paper itself

Abstract

Azithromycin (AZ), a broad-spectrum macrolide antibiotic, is being investigated in patients with coronavirus disease 2019 (COVID-19). A population pharmacokinetic model was implemented to predict lung, intracellular poly/mononuclear cell (peripheral blood monocyte (PBM)/polymorphonuclear leukocyte (PML)), and alveolar macrophage (AM) concentrations using published data and compared against preclinical effective concentration 90% (EC

Indexed as

Anti-Bacterial AgentsAzithromycinCoronavirus InfectionsCOVID-19COVID-19 Drug TreatmentDose-Response Relationship, DrugHumansLeukocytes, MononuclearLungMacrophages, AlveolarModels, BiologicalNeutrophilsPandemicsPneumonia, ViralTissue DistributionAnti-Bacterial AgentsAzithromycin

Identifiers

PMID32511867
PMCPMC7300789
OpenAlexW3033905655

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.