Evidence map›Paper›PMID 25437038›Full record

ReviewPathogens (Basel, Switzerland)2013

From in vitro to in vivo Models of Bacterial Biofilm-Related Infections.

David Lebeaux, Ashwini Chauhan, Olaya Rendueles, Christophe Beloin

Abstract readReview
In one paragraph

Review in Pathogens (Basel, Switzerland), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 236 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
236citing papers in PubMed, 3 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

236 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Treatment of Methicillin-ResistantMedicines (Basel, Switzerland) · 2026
    Review
  10. Review
  11. Review
  12. Article
  13. Investigating the Sharing ofPathogens (Basel, Switzerland) · 2026
    Article
  14. Review
  15. Review
  16. Review
  17. Review
  18. Molecular Basis of Persister Awakening and Lag-Phase Recovery inInternational journal of molecular sciences · 2026
    Review
  19. Article
  20. Article

176 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

4 authors.

David LebeauxInstitut Pasteur, Unité de Génétique des Biofilms, 25 rue du Dr. Roux, 75724 Paris cedex 15, France. david.lebeaux@yahoo.fr.
Ashwini ChauhanInstitut Pasteur, Unité de Génétique des Biofilms, 25 rue du Dr. Roux, 75724 Paris cedex 15, France. ashwini.chauhan@pasteur.fr.
Olaya RenduelesInstitut Pasteur, Unité de Génétique des Biofilms, 25 rue du Dr. Roux, 75724 Paris cedex 15, France. olaya.rendueles@env.ethz.ch.
Christophe BeloinInstitut Pasteur, Unité de Génétique des Biofilms, 25 rue du Dr. Roux, 75724 Paris cedex 15, France. christophe.beloin@pasteur.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The influence of microorganisms growing as sessile communities in a large number of human infections has been extensively studied and recognized for 30-40 years, therefore warranting intense scientific and medical research. Nonetheless, mimicking the biofilm-life style of bacteria and biofilm-related infections has been an arduous task. Models used to study biofilms range from simple in vitro to complex in vivo models of tissues or device-related infections. These different models have progressively contributed to the current knowledge of biofilm physiology within the host context. While far from a complete understanding of the multiple elements controlling the dynamic interactions between the host and biofilms, we are nowadays witnessing the emergence of promising preventive or curative strategies to fight biofilm-related infections. This review undertakes a comprehensive analysis of the literature from a historic perspective commenting on the contribution of the different models and discussing future venues and new approaches that can be merged with more traditional techniques in order to model biofilm-infections and efficiently fight them.

Identifiers

PMID25437038
PMCPMC4235718

What OpenQuestion holds

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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.