Evidence map›Paper›PMID 37658117›Full record

ReviewCommunications biology2023

The non-attached biofilm aggregate.

Kasper N Kragh, Tim Tolker-Nielsen, Mads Lichtenberg

Open access · goldAbstract readReview
In one paragraph

Review in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
13.9field-weighted citation impact, top 1% 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

61 citing papers in PubMed, 91 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Microbial Biofilms Dynamics and Functionality in an UrbanEnvironmental science & technology · 2026
    Article
  11. Article
  12. Review
  13. Review
  14. TheFEMS microbes · 2026
    Article
  15. Article
  16. BioMed research international · 2026
    Review
  17. Article
  18. Article
  19. Article
  20. Article

1 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Kasper N KraghCosterton Biofilm Center, Department of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark.
Tim Tolker-NielsenCosterton Biofilm Center, Department of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0002-9751-474X
Mads LichtenbergCosterton Biofilm Center, Department of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark. mlichtenberg@sund.ku.dk.ORCID http://orcid.org/0000-0002-0675-4554
University of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biofilms have conventionally been perceived as dense bacterial masses on surfaces, following the five-step model of development. Initial biofilm research focused on surface-attached formations, but detached aggregates have received increasing attention in the past decade due to their pivotal role in chronic infections. Understanding their nature sparked fervent discussions in biofilm conferences and scientific literature. This review consolidates current insights on non-attached aggregates, offering examples of their occurrence in nature and diseases. We discuss their formation and dispersion mechanisms, resilience to antibiotics and immune-responses, drawing parallels to surface-attached biofilms. Moreover, we outline available in vitro models for studying non-attached aggregates.

Indexed as

Anti-Bacterial AgentsBiofilmsMolecular WeightAnti-Bacterial Agents

Identifiers

PMID37658117
PMCPMC10474055
OpenAlexW4386378836

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.