Evidence map›Paper›PMID 35265731›Full record

ReviewOpen forum infectious diseases2022

Establishing Antimicrobial Susceptibility Testing Methods and Clinical Breakpoints for Inhaled Antibiotic Therapy.

Miquel B Ekkelenkamp, María Díez-Aguilar, Michael M Tunney, J Stuart Elborn, Ad C Fluit, Rafael Cantón

Open access · goldAbstract readReview
In one paragraph

Review in Open forum infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Unravelling the mechanisms causing murepavadin resistance inFrontiers in cellular and infection microbiology · 2024
    Article
  7. Review
  8. 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

6 authors at 3 institutions in 3 countries.

Miquel B EkkelenkampUniversity Medical Center Utrecht, Department of Medical Microbiology, Utrecht, The Netherlands.
María Díez-AguilarServicio de Microbiología, Hospital Universitario Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria, Madrid, Spain.
Michael M TunneyQueen's University Belfast, Department of Pulmonology, Belfast, United Kingdom.
J Stuart ElbornQueen's University Belfast, Department of Pulmonology, Belfast, United Kingdom.
Ad C FluitUniversity Medical Center Utrecht, Department of Medical Microbiology, Utrecht, The Netherlands.
Rafael CantónServicio de Microbiología, Hospital Universitario Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria, Madrid, Spain.ORCID https://orcid.org/0000-0003-1675-3173
Centro de Investigación Biomédica en Red · ESQueen's University Belfast · GBUniversity Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inhaled antibiotics are a common and valuable therapy for patients suffering from chronic lung infection, with this particularly well demonstrated for patients with cystic fibrosis. However, in vitro tests to predict patient response to inhaled antibiotic therapy are currently lacking. There are indications that antimicrobial susceptibility testing (AST) may have a role in guidance of therapy, but which tests would correlate best still needs to be researched in clinical studies or animal models. Applying the principles of European Committee on Antimicrobial Susceptibility Testing methodology, the analysis of relevant and reliable data correlating different AST tests to patients' outcomes may yield clinical breakpoints for susceptibility, but these data are currently unavailable. At present, we believe that it is unlikely that standard determination of minimum inhibitory concentration will prove the best predictor.

Indexed as

antimicrobial resistancebronchiectasischronic pulmonary infectioncystic fibrosisinhaled antibioticssusceptibility breakpoints

Identifiers

PMID35265731
PMCPMC8900927
OpenAlexW4213076384

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.