Evidence map›Paper›PMID 32175636›Full record

ArticleWound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society2020

A multimodel regime for evaluating effectiveness of antimicrobial wound care products in microbial biofilms.

Joseph J Stoffel, Petra L Kohler Riedi, Brittany Hadj Romdhane

Open access · hybridAbstract read
In one paragraph

Article in Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 28 citations in OpenAlex.

  1. Eradication ofInternational journal of microbiology · 2026
    Article
  2. Current Overview of Environmental Disinfection and Decolonization ofTropical medicine and infectious disease · 2025
    Review
  3. Article
  4. JAC-antimicrobial resistance · 2024
    Article
  5. Article
  6. Development ofMolecular pharmaceutics · 2023
    Article
  7. Article
  8. Biofilm model on mice skin wounds.Acta cirurgica brasileira · 2022
    Article
  9. Recent Advances and Opportunities in the Study ofFrontiers in cellular and infection microbiology · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. A multimodel regime for evaluating effectiveness of antimicrobial wound care products in microbial biofilms.Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society · 2020
    Article
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Joseph J Stoffel3M Company, 3M Center, Maplewood, Minnesota, USA.ORCID 0000-0003-1164-172X
Petra L Kohler Riedi3M Company, 3M Center, Maplewood, Minnesota, USA.
Brittany Hadj RomdhaneApex Life Sciences LLC, Edina, Minnesota, USA.
3M (United States) · USHealthCare Interactive · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial biofilms have become increasingly recognized as a cause of wound chronicity. There are several topical antimicrobial wound care products available for use; however, their effectiveness has routinely been demonstrated with planktonic microorganisms. There is no target reference value for antimicrobial effectiveness of wound care products in biofilm models. In addition, data on antimicrobial activity of products in biofilm models are scattered across many test methods in a variety of studies. The aim of this work is to directly compare commercial products containing the commonly used topical antimicrobial agents iodine, silver, polyhexamethylene biguanide, octenidine, hypochlorous acid, benzalkonium chloride, and a surfactant-based topical containing poloxamer 188. Five different in vitro biofilm models of varied complexity were used, incorporating several bacterial pathogens such as Staphylococcus, Enterococcus, Streptococcus, Pseudomonas, Acinetobacter, Klebsiella, and Enterobacter. The fungal pathogens Candida albicans and Candida auris were also evaluated. A multispecies bacterial biofilm model was also used to evaluate the products. Additionally, C. albicans was used in combination with S. aureus and P. aeruginosa in a multikingdom version of the polymicrobial biofilm model. Statistically significant differences in antimicrobial performance were observed between treatments in each model and changing microbial growth conditions or combinations of organisms resulted in significant performance differences for some treatments. The iodine and benzalkonium chloride-containing products were overall the most effective in vitro and were then selected for in vivo evaluation in an infected immunocompromised murine model. Unexpectedly, the iodine product was statistically (P > .05) no different than the untreated control, while the benzalkonium chloride containing product significantly (P < .05) reduced the biofilm compared to untreated control. This body of work demonstrates the importance of not only evaluating antimicrobial wound care products in biofilm models but also the importance of using several different models to gain a comprehensive understanding of products' effectiveness.

Indexed as

Acinetobacter baumanniiAdministration, TopicalAnimalsAnti-Infective Agents, LocalBenzalkonium CompoundsBiguanidesBiofilmsCandidaCandida albicansCoinfectionEnterobacter cloacaeEnterococcus faecalisHypochlorous AcidIminesIn Vitro TechniquesIodineAnti-Infective Agents, LocalBenzalkonium CompoundsBiguanidesHypochlorous AcidIminesIodineoctenidinepolihexanidePoloxamerPyridinesSilver

Identifiers

PMID32175636
PMCPMC7540695
OpenAlexW3012546721

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.