Evidence map›Paper›PMID 18924090›Full record

SynthesisThe International journal of artificial organs2008

Bioelectric effect and bacterial biofilms. A systematic review.

J L Del Pozo, M S Rouse, R Patel

Abstract readSystematic Review
In one paragraph

Synthesis in The International journal of artificial organs, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

64 citing papers in PubMed, 155 citations in OpenAlex.

  1. Trial
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  11. Beyond Antibiotics: What the Future Holds.Antibiotics (Basel, Switzerland) · 2024
    Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. The Alphabet of Nanostructured Polypyrrole.Materials (Basel, Switzerland) · 2023
    Review

4 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 2 institutions in 1 country.

J L Del PozoInfectious Diseases Research Laboratory, Mayo Clinic Rochester, Minnesota and Division of Infectious Diseases, Department of Medicine, Mayo Clinic Rochester, Minnesota - USA.
M S Rouse
R Patel
Mayo Clinic in Florida · USMayo Clinic · US

Funding

The Electricidal Effect, a Novel Anti-Biofilm StrategyR01AI091594 · NIAID · MAYO CLINIC ROCHESTER · PI Haluk Beyenal, Robin Patel · 2011 to 2026
$5.5M
Enhancement of antimicrobics by electrical currentR21AI061407 · NIAID · MAYO CLINIC ROCHESTER · PI PATEL, ROBIN · 2006 to 2007
$401k
NIAID NIH HHS R01 AI091594NIAID NIH HHS R21 AI061407NIAID NIH HHS R21AI061407
6 · The paper itself

Abstract

Bacteria growing in biofilms cause a wide range of human infections. Biofilm bacteria are resistant to antimicrobics at levels 500 to 5,000 times higher than those needed to kill non-biofilm bacteria. In vitro experiments have shown that electric current can enhance the activity of some antimicrobial agents against certain bacteria in biofilms; this has been termed the ''bioelectric effect''. Direct electrical current has already been safely used in humans for fracture healing. Application of direct electric current with antimicrobial chemotherapy in humans could theoretically abrogate the need to remove the device in device-related infections, a procedure associated with substantial morbidity and cost. In this article, we review what has been described in the literature with regards to the bioelectric effect.

Indexed as

AnimalsAnti-Infective AgentsBiofilmsDrug Resistance, BacterialElectricityHumansQuorum SensingAnti-Infective Agents

Identifiers

PMID18924090
PMCPMC3910516
OpenAlexW26450941

What OpenQuestion holds

Textmetadata
LicenceTDM
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.