Evidence map›Paper›PMID 29067019›Full record

ReviewFrontiers in microbiology2017

Porcine Models of Biofilm Infections with Focus on Pathomorphology.

Louise K Jensen, Anne S B Johansen, Henrik E Jensen

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in microbiology, 2017. 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
2.2field-weighted citation impact, top 12% 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, 33 citations in OpenAlex.

  1. Article
  2. Towards improved biofilm models.Nature reviews. Microbiology · 2025
    Review
  3. Review
  4. Review
  5. Swine Model of Biofilm Infection and Invisible Wounds.Journal of visualized experiments : JoVE · 2023
    Article
  6. Review
  7. Murine models of orthopedic infection featuringJournal of bone and joint infection · 2023
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Repair Process Impairment byFrontiers in cellular and infection microbiology · 2019
    Review
  18. A critical review of the in vitro and in vivo models for the evaluation of anti-infective meshes.Hernia : the journal of hernias and abdominal wall surgery · 2018
    Review
  19. Removal ofNPJ biofilms and microbiomes · 2018
    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

3 authors at 1 institution in 1 country.

Louise K JensenSection for Experimental Animal Models, Department of Veterinary and Animal Science, Faculty of Health and Medical Science, University of Copenhagen, Frederiksberg, Denmark.
Anne S B JohansenSection for Experimental Animal Models, Department of Veterinary and Animal Science, Faculty of Health and Medical Science, University of Copenhagen, Frederiksberg, Denmark.
Henrik E JensenSection for Experimental Animal Models, Department of Veterinary and Animal Science, Faculty of Health and Medical Science, University of Copenhagen, Frederiksberg, Denmark.
University of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial biofilm formation is one of the main reasons for a negative treatment outcome and a high recurrence rate for many chronic infections in humans. The optimal way to study both the biofilm forming bacteria and the host response simultaneously is by using discriminative, reliable, and reproducible animal models of the infections. In this review, the advantages of

Indexed as

animal modelbiofilmchronic woundsendocarditishematogenous osteomyelitisimplant-associated osteomyelitispigpyelonephritis

Identifiers

PMID29067019
PMCPMC5641329
OpenAlexW2762445411

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.