Evidence map›Paper›PMID 33447816›Full record

ArticleBiofilm2020

Antibiotic susceptibility of cystic fibrosis lung microbiome members in a multispecies biofilm.

Eva Vandeplassche, Andrea Sass, Lisa Ostyn, Mette Burmølle, Kasper Nørskov Kragh, Thomas Bjarnsholt, Tom Coenye, Aurélie Crabbé

Abstract read
In one paragraph

Article in Biofilm, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Understanding bacterial biofilms: From definition to treatment strategies.Frontiers in cellular and infection microbiology · 2023
    Pooled it
  2. Early and matureBiofilm · 2026
    Article
  3. Review
  4. Biofilm Formation ofMicroorganisms · 2025
    Review
  5. Review
  6. Emerging liver infection ofAnnals of medicine and surgery (2012) · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Biofilm Formation byInternational journal of molecular sciences · 2022
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. The cystic fibrosis lung microenvironment alters antibiotic activity: causes and effects.European respiratory review : an official journal of the European Respiratory Society · 2021
    Review
  17. Article
  18. Review
  19. Article
  20. Biofilm Formation in Methicillin-ResistantFrontiers in microbiology · 2021
    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

8 authors.

Eva VandeplasscheLaboratory of Pharmaceutical Microbiology, Ghent University, Belgium.
Andrea SassLaboratory of Pharmaceutical Microbiology, Ghent University, Belgium.
Lisa OstynLaboratory of Pharmaceutical Microbiology, Ghent University, Belgium.
Mette BurmølleDepartment of Microbiology, University of Copenhagen, Denmark.
Kasper Nørskov KraghCosterton Biofilm Center, Department of Immunology and Microbiology, University of Copenhagen, Denmark.
Thomas BjarnsholtCosterton Biofilm Center, Department of Immunology and Microbiology, University of Copenhagen, Denmark.
Tom CoenyeLaboratory of Pharmaceutical Microbiology, Ghent University, Belgium.
Aurélie CrabbéLaboratory of Pharmaceutical Microbiology, Ghent University, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The lungs of cystic fibrosis (CF) patients are often chronically colonized by multiple microbial species that can form biofilms, including the major CF pathogen

Indexed as

AntibioticsCystic fibrosisMicrobial diversityMicrobiotaMultispecies biofilms

Identifiers

PMID33447816
PMCPMC7798459

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.