Evidence map›Paper›PMID 36519007›Full record

ArticleF1000Research2022

Development of liquid culture media mimicking the conditions of sinuses and lungs in cystic fibrosis and health.

Dilem Ruhluel, Siobhan O'Brien, Joanne L Fothergill, Daniel R Neill

Open access · goldAbstract read
In one paragraph

Article in F1000Research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

19 citing papers in PubMed, 11 citations in OpenAlex.

  1. Innovation in antifungal therapy.EMBO molecular medicine · 2026
    Review
  2. The longitudinal expression ofMicrobiology (Reading, England) · 2026
    Article
  3. Essential role of cytochromeFrontiers in cellular and infection microbiology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. What Is a Biofilm? Lessons Learned from Interactions with Immune Cells.International journal of molecular sciences · 2024
    Review
  11. Article
  12. Article
  13. Review
  14. Experimentally evolvedMicrobiology (Reading, England) · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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 2 institutions in 2 countries.

Dilem RuhluelUniversity of Liverpool, Institute of Infection, Veterinary and Ecological Sciences,, Liverpool, L69 7BE, UK.ORCID 0000-0001-8867-2925
Siobhan O'BrienDepartment of Microbiology, Moyne Institute of Preventive Medicine, Trinity College, Dublin, 2, Ireland.ORCID 0000-0003-2741-6172
Joanne L FothergillUniversity of Liverpool, Institute of Infection, Veterinary and Ecological Sciences,, Liverpool, L69 7BE, UK.
Daniel R NeillUniversity of Liverpool, Institute of Infection, Veterinary and Ecological Sciences,, Liverpool, L69 7BE, UK.ORCID 0000-0002-7911-8153
University of Liverpool · GBTrinity College Dublin · IE

Funding

National Centre for the Replacement, Refinement and Reduction of Animals in Research NC/S001700/1
6 · The paper itself

Abstract

The respiratory tract is a compartmentalised and heterogenous environment. The nasopharynx and sinuses of the upper airways have distinct properties from the lungs and these differences may shape bacterial adaptation and evolution. Upper airway niches act as early colonisation sites for respiratory bacterial pathogens, including those, such as

Indexed as

Cystic FibrosisPseudomonas InfectionsAnimalsCulture MediaLungPseudomonas aeruginosaCulture Media3RsCystic Fibrosis (CF)in vitro modelslungssinuses

Identifiers

PMID36519007
PMCPMC9718992.2
OpenAlexW4294931071

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.