Evidence map›Paper›PMID 30082284›Full record

ArticleAntimicrobial agents and chemotherapy2018

Biopharmaceutical Characterization of Nebulized Antimicrobial Agents in Rats: 6. Aminoglycosides.

Sandrine Marchand, Matthieu Boisson, Shachi Mehta, Christophe Adier, Olivier Mimoz, Nicolas Grégoire, William Couet

Open access · bronzeAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Article
  3. Biopharmaceutical profiling of anti-infective sanggenons fromInternational journal of pharmaceutics: X · 2024
    Article
  4. Optimized Extraction of Amikacin from Murine Whole Blood.Molecules (Basel, Switzerland) · 2021
    Article
  5. Article
  6. 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

7 authors at 3 institutions in 1 country.

Sandrine MarchandInserm U1070, Pôle Biologie Santé, Poitiers, France sandrine.marchand@univ-poitiers.fr.ORCID 0000-0001-5279-6678
Matthieu BoissonInserm U1070, Pôle Biologie Santé, Poitiers, France.
Shachi MehtaUniversité de Poitiers, UFR Médecine-Pharmacie, Poitiers, France.
Christophe AdierCHU Poitiers, Laboratoire de Toxicologie-Pharmacocinétique, Poitiers, France.
Olivier MimozInserm U1070, Pôle Biologie Santé, Poitiers, France.
Nicolas GrégoireInserm U1070, Pôle Biologie Santé, Poitiers, France.
William CouetInserm U1070, Pôle Biologie Santé, Poitiers, France.
Inserm · FRCentre Hospitalier Universitaire de Poitiers · FRUniversité de Poitiers · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amikacin and gentamicin pharmacokinetic behaviors after nebulization were determined by comparing plasma and pulmonary epithelial lining fluid (ELF) concentrations in rats after intratracheal and intravenous administrations. ELF areas under concentration-time curve were 874 and 162 times higher after nebulization than after intravenous administration for amikacin and gentamicin, respectively. Even if both molecules appear to be good candidates for nebulization, these results demonstrate a much higher targeting advantage of nebulization for amikacin than for gentamicin.

Indexed as

Nebulizers and VaporizersAdministration, IntravenousAmikacinAminoglycosidesAnimalsAnti-Bacterial AgentsGentamicinsMaleRatsRats, Sprague-DawleyAmikacinAminoglycosidesAnti-Bacterial AgentsGentamicinsaminoglycosidesbiopharmaceuticsnebulization

Identifiers

PMID30082284
PMCPMC6153828
OpenAlexW2885805768

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.